Writing.io Jobs

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance-1

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

We are looking for a Staff Data Scientist, Data Products to serve as a senior analytical and product partner across Syndio’s product and data-product portfolio. You will own measurement strategies for our product platform, translate usage and business data into product decisions, and help turn those signals — together with pay-equity, policy, job architecture, market, and workforce data — into customer-facing analytical products.

This is a high-autonomy, high-visibility staff role. You will lead ambiguous, cross-functional work from opportunity discovery through methodology, validation, production, and launch; partner with Product, Data Science, Engineering, Privacy, Legal, Sales, and Customer Success; and set standards for analytical rigor, interpretability, data quality, and responsible data use. The role is an individual contributor position with broad influence.

Why this job is exciting

Product Measurement & Decision Support

• Own measurement strategies for Syndi’s core user workflows — including offer endorsement, approval, and acceptance — defining events, metrics, and success criteria that guide product decisions.
• Partner with engineering to design and validate event instrumentation for new features, ensuring tracking is accurate, consistent, and privacy-safe from the start.
• Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to surface actionable insights.
• Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling that give product teams and senior leaders visibility into product health.
• Translate complex, ambiguous usage data into clear, prioritized recommendations for technical, product, and executive audiences.

Data Product Development

• Define and lead analytical strategies for new compensation and workforce data products that make Syndio more valuable, differentiated, and difficult to replicate.
• Identify high-value opportunities to combine Syndio’s aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources.
• Develop diagnostics that measure compensation governance and execution health, including policy-versus-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk.
• Lead complex initiatives from early exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch.
• Evaluate whether proposed data products are analytically defensible, interpretable, commercially valuable, privacy-preserving, and responsible to use.
• Contribute to the give-to-get data strategy by identifying which product and customer signals can strengthen Syndio’s broader data assets over time.

Cross-functional Leadership & Standards

• Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles.
• Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows.
• Work with Customer Success and Sales to connect product usage and data-product insights to customer value, health, and renewal risk.
• Establish and champion standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use.
• Provide technical and analytical leadership to other practitioners, raise data literacy across the product organization, and build self-serve capability.

About you

• 8+ years of experience in product analytics, data science, analytics engineering, or a closely related role, including substantial experience supporting software products and/or developing analytical products.
• Proficiency with AI-assisted development tools and workflows, using them to accelerate analysis, prototyping, code generation, documentation, and data-product development while validating outputs and exercising sound judgment.
• Familiarity with emerging AI and BI innovation — including natural-language interfaces, automated insights, semantic layers, and agentic workflows — and the ability to evaluate where these capabilities can improve analytical products and customer experiences.
• A track record of setting direction and leading complex, cross-functional initiatives with significant product or business impact.
• Deep proficiency in SQL and strong working proficiency with Python, R, or a comparable analytical language.
• Advanced knowledge of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation.
• Experience designing event schemas, product measurement strategies, funnels, dashboards, and self-serve reporting using tools such as Mixpanel, Amplitude, Looker, Tableau, or equivalent.
• Experience combining large, imperfect datasets into analytically defensible, interpretable, and commercially valuable products or insights.
• Exceptional judgment and comfort operating in ambiguous, evolving problem spaces; able to determine when approximation is appropriate and when precision is required.
• Ability to influence senior stakeholders, communicate complex methodologies clearly, and drive alignment across technical and non-technical audiences.

Extra Credit

• Experience instrumenting or evaluating a GenAI-native product, including model-assisted workflows.
• Deep familiarity with compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics.
• Experience with compensation surveys, job-posting data, privacy-preserving analytics, or third-party data licensing and governance.
• Familiarity with GDPR/CCPA and related privacy considerations for user-level event data and aggregated or anonymized customer data.

Why you’ll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $180,000 -$205,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• Fully remote model - #LI-Remote

The interview overview

Below you’ll find an outline of the interview plan for our Staff Data Science position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members
• Final interviews with executive

At Syndio, we’re building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we’d love to talk with you even if you don’t 100% meet the “about you” listed here. We don’t expect anyone to have all the answers, as long as you’re willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Role Overview

phData is looking for a Principal Analytics Consultant who specializes in Power BI to lead complex analytics engagements and help customers realize measurable value from their data.

In this role, you will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership. You will guide clients from strategy and discovery through solution design, development, deployment, governance, and adoption. You will translate ambiguous business needs into scalable analytics products that support better decisions and sustainable ways of working with data.

You will work closely with client executives, business stakeholders, technical teams, account leaders, and consultants across phData. You will also help shape Power BI delivery standards, reusable accelerators, enterprise adoption approaches, and the continued growth of the Analytics practice.

Key Responsibilities

• Lead end-to-end Power BI engagements and workstreams, including planning, discovery, requirements, prototyping, development, testing, deployment, enablement, and adoption.
• Establish the overall technical approach, solution architecture, backlog, delivery sequence, and quality standards for scalable Power BI solutions.
• Design and develop Power BI semantic models, reports, dashboards, data products, and self-service analytics experiences that are intuitive, performant, governed, and aligned to business outcomes.
• Apply strong practices in dimensional modeling, DAX, Power Query, SQL, data visualization, metric definition, and performance optimization.
• Connect Power BI solutions to enterprise data warehouses, data marts, lakehouses, semantic models, and other analytical data structures.
• Lead client discovery and working sessions that clarify ambiguous needs, define analytical requirements, align stakeholders, surface tradeoffs, and drive decisions.
• Advise clients on Power BI governance and operating models, including workspace strategy, security, access management, deployment practices, platform administration, adoption, and performance.
• Review and improve existing reports, semantic models, platform configurations, and deployment practices to identify opportunities for optimization, standardization, and scale.
• Manage client expectations through clear communication, status reporting, feedback loops, risk management, transparent escalation, and alignment on decisions and dependencies.
• Provide technical leadership and mentorship to consultants and delivery teams; establish a high bar for quality, usability, maintainability, and client value.
• Contribute to staffing plans, utilization planning, delivery planning, workstream budgets, estimates, and overall project performance.
• Partner with account and practice leaders on discovery, proposals, solution shaping, estimates, and expansion opportunities that deepen client value and support Analytics practice growth.
• Develop reusable Power BI accelerators, frameworks, templates, enablement materials, and points of view that improve delivery consistency and market impact.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You

You are a client-focused analytics leader who enjoys solving complex data problems and creating practical, well-designed solutions. You bring strong technical judgment and can move comfortably between business strategy, analytics architecture, hands-on Power BI development, executive conversations, and team leadership.

You are comfortable leading through ambiguity, influencing without authority, and operating in distributed, global teams. You communicate clearly with both technical and business audiences and are energized by helping organizations establish sustainable, value-oriented ways of working with data.

Required Qualifications

Experience

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Experience leading complex delivery teams or workstreams and mentoring consultants or technical practitioners.
• Experience contributing to delivery planning, estimates, staffing, utilization, budgets, proposals, or practice development.

Technical and Functional Skills

• Demonstrated expertise designing and delivering enterprise Power BI solutions, including semantic modeling, report and dashboard development, DAX, Power Query, data visualization, and performance optimization.
• Strong SQL skills and experience working with cloud data warehouses, data marts, lakehouses, semantic models, and analytical data structures.
• Experience with Power BI Service administration and enterprise enablement, including workspace strategy, security roles, access management, deployment practices, platform configuration, governance, and adoption.
• Strong understanding of analytics architecture, data modeling, metric definition, visualization design, usability, scalability, and maintainability.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, risks, and dependencies to technical and executive stakeholders.
• Exceptional customer-facing communication, facilitation, project leadership, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and applying new technologies, techniques, and procedures.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience scaling Power BI across an enterprise, including governance, operating models, adoption, performance, platform optimization, and change enablement.
• Microsoft Power BI certification, such as Microsoft Certified: Power BI Data Analyst Associate.
• Experience with Power Automate, Power Apps, Copilot Studio, Snowflake, Tableau, Sigma, Alteryx, KNIME, Matillion, Dataiku, Coalesce, or similar modern data and analytics technologies.
• Experience developing reusable accelerators, frameworks, templates, enablement materials, or internal points of view.
• Experience contributing to solution estimates, proposals, discovery activities, and the growth of a consulting practice.
• Experience leading cross-functional teams and influencing senior client stakeholders through complex transformation or modernization initiatives.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data and AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US

• Remote-first work environment
• 401(k) plan with company match
• Dental and vision insurance
• Home office equipment stipend
• Annual learning and development stipend
• Competitive compensation, excellent benefits, four weeks of paid time off, 10 holidays, and other perks

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Role Overview

phData is looking for a Principal Analytics Consultant who specializes in Power BI to lead complex analytics engagements and help customers realize measurable value from their data.

In this role, you will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership. You will guide clients from strategy and discovery through solution design, development, deployment, governance, and adoption. You will translate ambiguous business needs into scalable analytics products that support better decisions and sustainable ways of working with data.

You will work closely with client executives, business stakeholders, technical teams, account leaders, and consultants across phData. You will also help shape Power BI delivery standards, reusable accelerators, enterprise adoption approaches, and the continued growth of the Analytics practice.

Key Responsibilities

• Lead end-to-end Power BI engagements and workstreams, including planning, discovery, requirements, prototyping, development, testing, deployment, enablement, and adoption.
• Establish the overall technical approach, solution architecture, backlog, delivery sequence, and quality standards for scalable Power BI solutions.
• Design and develop Power BI semantic models, reports, dashboards, data products, and self-service analytics experiences that are intuitive, performant, governed, and aligned to business outcomes.
• Apply strong practices in dimensional modeling, DAX, Power Query, SQL, data visualization, metric definition, and performance optimization.
• Connect Power BI solutions to enterprise data warehouses, data marts, lakehouses, semantic models, and other analytical data structures.
• Lead client discovery and working sessions that clarify ambiguous needs, define analytical requirements, align stakeholders, surface tradeoffs, and drive decisions.
• Advise clients on Power BI governance and operating models, including workspace strategy, security, access management, deployment practices, platform administration, adoption, and performance.
• Review and improve existing reports, semantic models, platform configurations, and deployment practices to identify opportunities for optimization, standardization, and scale.
• Manage client expectations through clear communication, status reporting, feedback loops, risk management, transparent escalation, and alignment on decisions and dependencies.
• Provide technical leadership and mentorship to consultants and delivery teams; establish a high bar for quality, usability, maintainability, and client value.
• Contribute to staffing plans, utilization planning, delivery planning, workstream budgets, estimates, and overall project performance.
• Partner with account and practice leaders on discovery, proposals, solution shaping, estimates, and expansion opportunities that deepen client value and support Analytics practice growth.
• Develop reusable Power BI accelerators, frameworks, templates, enablement materials, and points of view that improve delivery consistency and market impact.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You

You are a client-focused analytics leader who enjoys solving complex data problems and creating practical, well-designed solutions. You bring strong technical judgment and can move comfortably between business strategy, analytics architecture, hands-on Power BI development, executive conversations, and team leadership.

You are comfortable leading through ambiguity, influencing without authority, and operating in distributed, global teams. You communicate clearly with both technical and business audiences and are energized by helping organizations establish sustainable, value-oriented ways of working with data.

Required Qualifications

Experience

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Experience leading complex delivery teams or workstreams and mentoring consultants or technical practitioners.
• Experience contributing to delivery planning, estimates, staffing, utilization, budgets, proposals, or practice development.

Technical and Functional Skills

• Demonstrated expertise designing and delivering enterprise Power BI solutions, including semantic modeling, report and dashboard development, DAX, Power Query, data visualization, and performance optimization.
• Strong SQL skills and experience working with cloud data warehouses, data marts, lakehouses, semantic models, and analytical data structures.
• Experience with Power BI Service administration and enterprise enablement, including workspace strategy, security roles, access management, deployment practices, platform configuration, governance, and adoption.
• Strong understanding of analytics architecture, data modeling, metric definition, visualization design, usability, scalability, and maintainability.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, risks, and dependencies to technical and executive stakeholders.
• Exceptional customer-facing communication, facilitation, project leadership, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and applying new technologies, techniques, and procedures.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience scaling Power BI across an enterprise, including governance, operating models, adoption, performance, platform optimization, and change enablement.
• Microsoft Power BI certification, such as Microsoft Certified: Power BI Data Analyst Associate.
• Experience with Power Automate, Power Apps, Copilot Studio, Snowflake, Tableau, Sigma, Alteryx, KNIME, Matillion, Dataiku, Coalesce, or similar modern data and analytics technologies.
• Experience developing reusable accelerators, frameworks, templates, enablement materials, or internal points of view.
• Experience contributing to solution estimates, proposals, discovery activities, and the growth of a consulting practice.
• Experience leading cross-functional teams and influencing senior client stakeholders through complex transformation or modernization initiatives.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data and AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US

• Remote-first work environment
• 401(k) plan with company match
• Dental and vision insurance
• Home office equipment stipend
• Annual learning and development stipend
• Competitive compensation, excellent benefits, four weeks of paid time off, 10 holidays, and other perks

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Description

The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth’s data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives.

Essential Duties and Responsibilities

·       Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision.

·       Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs.

·       Facilitate decision-making on data standards and help resolve cross-functional data conflicts.

·       Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency.

·       Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols.

·       Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries.

·       Work with Security to define data classification levels and manage high-risk data access policies.

·       Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates.

·       Align data governance priorities with organizational objectives and regulatory requirements.

·       Mentor and develop team members as the data governance capability grows.

Requirements

Minimum Qualifications, Education and Experience

·       Bachelor’s degree in Computer Science, Information Security, Information Management, or a related field, or equivalent practical experience (required).

7 to 10 years of progressive experience in Data Management, Data Governance, or Information Architecture in healthcare, medical technology, or another highly regulated industry (required).

Strong experience with DAMA-DMBOK frameworks and data quality lifecycle management (required).

Deep understanding of data profiling tools, metadata management, and modern data stack concepts (required).

Experience with AI systems in production or product development contexts (required).

Excellent written and oral communication skills, including explaining complex concepts to diverse audiences (required).

High level of integrity and confidentiality (required).

Preferred: Master’s degree or advanced relevant certifications.

Quality Standards

·       Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.

·       Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.

·       Follows all local, regional and country laws concerning employment.

·       Follows all DeepHealth policies and procedures.

·       Follows data privacy, compliance, safety and confidentiality standards at all times.

·       Practices universal safety precautions.

·       Promotes good public relations on the phone and in person.

·       Adapts and is willing to learn new tasks, methods, and systems.

·       Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.

·       Completes job responsibilities in a quality and timely manner.

Travel

This position requires travel up to approximately 10%.

Working Environment

European Union. Remote-friendly or office-based role.

Physical Demands

The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.

Salary:

115,000.00-130,00.00 EURO

100,000.00-110,000.00 in France

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS

Known is what happens when a data science firm and a creative agency stop arguing and start collaborating. We were built from scratch with PhD data scientists and award-winning creatives working on the same briefs, from day one. That structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate. We’re distributed across the U.S. and unapologetically ambitious.

If you’re tired of choosing between doing smart work and doing creative work, you’ll fit right in here.

BUT ENOUGH ABOUT US, LET’S TALK ABOUT YOU

Do you thrive at the intersection of data science, innovation, and marketing? Known seeks a Director of Data Science to lead cutting-edge marketing analytics and client engagements. Our Strategy team is at the heart of Known’s mission to bring ground-breaking customer insights, strategic consulting, media planning/buying and creative work to our clients.

WHAT YOU’LL DO

In this role you will have three main areas of responsibility:

• Lead client engagements at the intersection of data science, AI and strategy: Take ownership of projects from scoping to delivery. Collaborate with clients and cross-functional teams to solve complex marketing challenges using advanced analytics, modeling approaches, statistics, and measurement & experimentation techniques.
• Inspire and manage a talented team: Manage, mentor, and grow a high-performing team of analysts and data scientists and advise a larger set of quantitative survey researchers. Foster a culture of innovation, collaboration, and continuous learning, while ensuring your team consistently delivers high-quality work.
• Drive growth: You’ll also pitch new projects and grow client relationships.
• Be a thought leader: Stay ahead of trends in marketing analytics, bringing new methodologies, tools, and techniques to both team members and clients. Serve as a trusted advisor, sharing your expertise on experimentation, machine learning, and advanced data science methods.

WHO YOU ARE AND WHAT YOU HAVE DONE

• You’re an expert in data science and statistics with 8+ years of professional experience in quantitative research, marketing, or consulting.
• You have at least 2 years of experience managing people and teams, inspiring them to do their best work. You enjoy training and developing others.
• You have superb communication, narrative-building, and presentation skills. You are as comfortable talking to engineers as with C-suite executives. You’re great at presenting and storytelling with data.
• You can write high-quality Python code and are comfortable with tools like Git and SQL. You understand data pipelines and can bridge the gap between technical execution and strategic business goals.
• You’re an expert at implementing and explaining machine learning models, including linear and XGBoost regressions.
• You have a deep grasp of statistics and probability applied to experimentation and other marketing problems.
• You’re proficient in analyzing both large datasets and smaller survey datasets. You have a POV on the role of AI in these environments. You’re up to date on the latest data science and AI developments and know how to apply them to what we’re trying to do.
• You’re proficient with data engineering tasks and tools, though your focus is more on modeling than data engineering

Bonus points for experience with mid- and upper-funnel marketing strategies, expertise in causal inference, building generative AI applications, or dabbling with synthetic data.

SOME OF OUR PERKS

• Unlimited paid time off
• 401k with company matching and no vesting period
• Annual bonuses
• Generous medical plan
• Paid parental leave

ONE LAST THING TO ASK YOURSELF

All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.

Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.

The base salary for this position is $140K - $170K.

This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.

#LI-RR1

We’re BlueCat—a Great Place to Work for good reason. Our team solves critical network challenges for some of the world’s largest organizations. In simple terms, we manage the systems that keep networks running smoothly, securely, and reliably—the backbone infrastructure that powers digital transformation for enterprises globally. Our Intelligent Network Operations platform delivers and enables AI-driven agentic ops at scale, automating and simplifying how companies manage, secure, and optimize their networks.

But what makes us different is how we work: we believe great work happens in an environment where you’re trusted, heard, and supported. With teams globally, we’re building a workplace culture that values collaboration and integrity as much as innovation. If you’re looking to advance your career with a company that invests in its people, this is it.

BlueCat enables teams to enhance agility and mitigate risk from high rates of change with a unified management lifecycle—from provisioning to proactive troubleshooting and remediation. Enterprises, telcos, and government agencies worldwide (including Meta, PwC, Bank of America, PNC Bank, Porsche, SAP, The Home Depot, and Uber) rely on BlueCat to modernize their network infrastructure.

BlueCat operates three primary product lines: Integrity (on-prem DDI—DNS, DHCP & IPAM for large organizations), Edge/Micetro (cloud-managed DDI), and Live (network observability). Each product line also delivers security intelligence capabilities for the enterprise.

BlueCat is seeking a Manager, Pricing and Product Line Analytics to lead pricing, packaging, and monetization strategy while owning product line performance and market insights across a hybrid portfolio of on-prem software, cloud-delivered SaaS, and appliance-based offerings.

As customers shift toward cloud, automation, and consumption-based models in NetOps, this role will shape how BlueCat captures value, aligns pricing to customer outcomes, and informs product and portfolio investment decisions through data-driven insights.

This is a highly cross-functional role partnering with Product Management, Sales, Finance, and Operations to connect market dynamics, product strategy, and financial performance into a cohesive monetization and growth strategy.

Key Responsibilities:

• Define and evolve pricing and packaging strategy across enterprise infrastructure software, SaaS, and appliance-based solutions
• Own product line performance analysis, including revenue, growth, margins, attach rates, and lifecycle trends
• Conduct market, competitive, and segmentation analysis to inform pricing, positioning, and investment decisions
• Translate market and customer insights into actionable recommendations for product strategy and monetization
• Lead transitions from perpetual/license-based models to subscription and consumption-based pricing aligned to NetOps use cases
• Establish pricing governance, discounting frameworks, and deal structures for enterprise customers and strategic accounts
• Partner with Sales on complex enterprise deals, providing data-driven pricing guidance and value articulation
• Drive pricing consistency and scalability across global sales channels, partners, and cloud marketplaces
• Develop forecasting models and business cases to guide portfolio investment and prioritization
• Deliver executive-level reporting that connects product performance, market trends, and pricing outcomes

Required Qualifications:

• 8–12+ years of experience in pricing, product management, business analytics, finance, or strategy within enterprise technology companies
• Direct experience in network infrastructure, security, or enterprise software markets
• Experience pricing across on-prem software, SaaS/subscription, and/or appliance-based offerings
• Strong analytical skills, including financial modeling, market analysis, and business performance tracking
• Proven ability to influence cross-functional stakeholders, including Product, Sales, Finance, and executive leadership
• Experience working in organizations undergoing cloud and SaaS transformation

Preferred Qualifications:

• MBA or equivalent experience in strategy or corporate finance
• Background in DDI, network observability, network security, or adjacent infrastructure markets
• Experience with usage-based, consumption, or hybrid pricing models
• Familiarity with enterprise sales motions, deal desk processes, and CPQ systems
• Experience supporting public cloud marketplace pricing and packaging
• Track record of simplifying and rationalizing complex legacy pricing models into a coherent strategy

This position offers a salary range of $120,000-137,000 USD per year plus participation in a discretionary bonus plan. Final compensation will be based on skills, experience, and qualifications.  The role is for an existing vacancy.

If you share our enthusiasm for the future of our company and are eager to contribute to our vibrant workplace, we look forward to receiving your application!

This position is eligible for a comprehensive benefits package, including medical, dental, and vision insurance; tax advantaged accounts (HSA, FSA); annual Lifestyle Spending Account (LSA); a 401(k) with company matching; paid parental leave; vacation, personal, and wellness days; an annual learning and development budget. Eligible employees may also participate in the company’s annual bonus program.

Join us in shaping the future of our organization, where your talent and dedication can truly thrive. We invite you to apply and become a valuable member of our team!

BlueCat is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. BlueCat will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

BlueCat participates in the E-Verify program to confirm the employment eligibility of new hires based in the USA. The E-Verify process is completed in conjunction with the Form I-9 Employment Eligibility Verification on or before the first day of work. E-Verify is not used as a tool to pre-screen candidates. For more information about E-Verify, please visit https://www.e-verify.gov/employees .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we’re committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.

At New Era, you’ll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.

If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together

SUMMARY: Leads the evolution from traditional web analytics to an insight-driven approach that connects customer behavior to business action. This role is the bridge between analyst reporting and product management. The individual ensures Therapeutic Area (TA) and Direct-to-Consumer (DTC) Product Managers have the consumer intelligence needed to make better decisions faster, shifting the team from reactive reporting to proactive web experience design

PRIMARY DUTIES:

• Turn Data into Story: Synthesize behavioral, journey, and performance data into clear, actionable insights; build narratives connecting site activity to consumer challenges and business outcomes; deliver recurring, tailored insight packages to stakeholders.
• Own the Customer Journey: Map and analyze end-to-end digital experiences to identify friction, drop-off points, and unmet needs; maintain a portfolio-level experience health dashboard.
• Drive Action & Optimization: Partner with product, marketing, UX, and engineering to prioritize improvements; lead test-and-learn strategies (A/B testing, personalization); measure the impact of post-launch changes.
• Champion the Customer Voice: Integrate Voice of Customer (VoC), behavioral analytics, and qualitative insights into a unified understanding; proactively surface insights to DTC Product Managers.
• Influence Strategy: Advocate for customer-first thinking; make complex data accessible for leadership; apply industry trends and competitive benchmarks to elevate capabilities.

COMPETENCY:

• Digital analytics and journey analysis
• Storytelling and executive communication
• Experimentation and optimization frameworks
• Cross-functional leadership
• Customer-centric thinking

EXPERIENCE:

• 5+ years in digital analytics, consumer experience insights, or a similar insights-to-action role.
• Hands-on proficiency with GA4 and Adobe CJA (custom explorations, segments, attribution analysis).
• Experience with Medallia heatmaps/surveys or comparable VoC platforms.
• Demonstrated ability to deliver prioritized, actionable recommendations.
• Proven skill communicating complex findings to non-technical stakeholders.
• Strong understanding of web UX, journey mapping, and conversion optimization.

REQUIRED EDUCATION: Bachelor’s degree in Marketing Analytics, Digital Marketing, Data Science, Human-Computer Interaction (HCI), or a related field.

QUALIFICATIONS:

• Additional Preferences: Pharmaceutical/healthcare digital experience (including regulated content review), familiarity with Adobe Target/AEP, experience with visualization tools (Power BI, Tableau, Looker), knowledge of SEO analytics, familiarity with Agile/SAFe frameworks, and understanding of CMS platforms (Adobe AEM).

LANGUAGE SKILLS: Ability to read, understand, and interpret job-related documents, instructions, policies, and communications in English. Ability to communicate effectively in English, both verbally and in writing, with employees, customers, vendors, and other business partners, as applicable to the position.

PHYSICAL DEMANDS: REMOTE. Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications, both in person and via remote communication tools. Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen.

WORK ENVIRONMENT: Remote

EXPECTED HOURS OF WORK: Monday-Friday, Standard Business Hours

TRAVEL: potential for occasional/once a year for a conference.

ADA Statement

To perform the job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

EEO/AA Statement

New Era Technology provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, national origin, religion, pregnancy, marital status, gender identity, age, physical or mental disability, or covered veteran status.

In addition to federal law requirements, New Era Technology complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Below is the pay range of this position for considered candidates based on qualifications and experience.

Pay Range

$83—$83 USD

New Era Technology, LLC., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).

View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/

We never ask candidates to pay any fees at any point in our hiring process. If you are ever asked to provide payment for training, certification, equipment, or any other purpose, it is not from our company. Only communications from our official company channels should be trusted. Please note our official email domain is @neweratech.com. If you suspect fraudulent activity, please contact us immediately at privacy@neweratech.com .

We’re BlueCat—a Great Place to Work for good reason. Our team solves critical network challenges for some of the world’s largest organizations. In simple terms, we manage the systems that keep networks running smoothly, securely, and reliably—the backbone infrastructure that powers digital transformation for enterprises globally. Our Intelligent Network Operations platform delivers and enables AI-driven agentic ops at scale, automating and simplifying how companies manage, secure, and optimize their networks.

But what makes us different is how we work: we believe great work happens in an environment where you’re trusted, heard, and supported. With teams globally, we’re building a workplace culture that values collaboration and integrity as much as innovation. If you’re looking to advance your career with a company that invests in its people, this is it.

BlueCat enables teams to enhance agility and mitigate risk from high rates of change with a unified management lifecycle—from provisioning to proactive troubleshooting and remediation. Enterprises, telcos, and government agencies worldwide (including Meta, PwC, Bank of America, PNC Bank, Porsche, SAP, The Home Depot, and Uber) rely on BlueCat to modernize their network infrastructure.

BlueCat operates three primary product lines: Integrity (on-prem DDI—DNS, DHCP & IPAM for large organizations), Edge/Micetro (cloud-managed DDI), and Live (network observability). Each product line also delivers security intelligence capabilities for the enterprise.

BlueCat is seeking a Manager, Pricing and Product Line Analytics to lead pricing, packaging, and monetization strategy while owning product line performance and market insights across a hybrid portfolio of on-prem software, cloud-delivered SaaS, and appliance-based offerings.

As customers shift toward cloud, automation, and consumption-based models in NetOps, this role will shape how BlueCat captures value, aligns pricing to customer outcomes, and informs product and portfolio investment decisions through data-driven insights.

This is a highly cross-functional role partnering with Product Management, Sales, Finance, and Operations to connect market dynamics, product strategy, and financial performance into a cohesive monetization and growth strategy.

Key Responsibilities:

• Define and evolve pricing and packaging strategy across enterprise infrastructure software, SaaS, and appliance-based solutions
• Own product line performance analysis, including revenue, growth, margins, attach rates, and lifecycle trends
• Conduct market, competitive, and segmentation analysis to inform pricing, positioning, and investment decisions
• Translate market and customer insights into actionable recommendations for product strategy and monetization
• Lead transitions from perpetual/license-based models to subscription and consumption-based pricing aligned to NetOps use cases
• Establish pricing governance, discounting frameworks, and deal structures for enterprise customers and strategic accounts
• Partner with Sales on complex enterprise deals, providing data-driven pricing guidance and value articulation
• Drive pricing consistency and scalability across global sales channels, partners, and cloud marketplaces
• Develop forecasting models and business cases to guide portfolio investment and prioritization
• Deliver executive-level reporting that connects product performance, market trends, and pricing outcomes

Required Qualifications:

• 8–12+ years of experience in pricing, product management, business analytics, finance, or strategy within enterprise technology companies
• Direct experience in network infrastructure, security, or enterprise software markets
• Experience pricing across on-prem software, SaaS/subscription, and/or appliance-based offerings
• Strong analytical skills, including financial modeling, market analysis, and business performance tracking
• Proven ability to influence cross-functional stakeholders, including Product, Sales, Finance, and executive leadership
• Experience working in organizations undergoing cloud and SaaS transformation

Preferred Qualifications:

• MBA or equivalent experience in strategy or corporate finance
• Background in DDI, network observability, network security, or adjacent infrastructure markets
• Experience with usage-based, consumption, or hybrid pricing models
• Familiarity with enterprise sales motions, deal desk processes, and CPQ systems
• Experience supporting public cloud marketplace pricing and packaging
• Track record of simplifying and rationalizing complex legacy pricing models into a coherent strategy

This position offers a salary range of $120,000-137,000 USD per year plus participation in a discretionary bonus plan. Final compensation will be based on skills, experience, and qualifications.  The role is for an existing vacancy.

If you share our enthusiasm for the future of our company and are eager to contribute to our vibrant workplace, we look forward to receiving your application!

This position is eligible for a comprehensive benefits package, including medical, dental, and vision insurance; tax advantaged accounts (HSA, FSA); annual Lifestyle Spending Account (LSA); a 401(k) with company matching; paid parental leave; vacation, personal, and wellness days; an annual learning and development budget. Eligible employees may also participate in the company’s annual bonus program.

Join us in shaping the future of our organization, where your talent and dedication can truly thrive. We invite you to apply and become a valuable member of our team!

BlueCat is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. BlueCat will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

BlueCat participates in the E-Verify program to confirm the employment eligibility of new hires based in the USA. The E-Verify process is completed in conjunction with the Form I-9 Employment Eligibility Verification on or before the first day of work. E-Verify is not used as a tool to pre-screen candidates. For more information about E-Verify, please visit https://www.e-verify.gov/employees .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Every developer has a tab open on Stack Overflow.

We are one of the most popular websites in the world - a community-based space focused on increasing productivity, decreasing cycle times, accelerating time to market, and protecting institutional knowledge.

Innovation is at the heart of everything we do. We embrace collaboration, transparency, and believe in leading with empathy; creating an environment where every Stacker knows they belong. We embrace that the unique contributions and points of view of all Stackers contribute to our success.

We are a Best Company to Work For, in addition to being recognized for Best Company Leadership, Best Company Happiness, Best Company Perks and Benefits, Best Company Work-Life Balance, Best Company Compensation, and Best Company Outlook.

We are a remote-first company with Hiring HUBs based in the US, Canada, UK, and Germany.

Role Overview

Our Data Science team uses data, machine learning, and large language models to power smarter products and more intuitive knowledge discovery. We’re looking for a Staff Data Scientist who’s excited about leading ambitious, high-impact work, partnering closely with product and engineering teams, and helping define the future of knowledge discovery in the AI era.

In this role, you’ll lead data science initiatives that span multiple product teams across Stack Overflow and Stack Internal, moving across teams as the work requires. You’ll stay hands-on with the hardest technical questions, guide work across the full data science lifecycle, and help teams make better product, technical, and business decisions with data.

What you’ll do

• Lead data science initiatives spanning multiple product teams, turning ambiguous needs into tractable problems
• Stay hands-on in analysis, experimentation, model development, and evaluation, especially where scientific uncertainty is highest
• Define what good looks like, design offline evaluations that are representative of production settings, ensure proper online product measurement to make clear product, technical, and business recommendations
• Translate needs for upstream data, downstream integration, model serving, and monitoring into clear requirements for engineering partners
• Balance product deadlines with deeper research and innovation, using thin slices and clear learning milestones to move uncertain work forward
• Partner with Product, Engineering, and business stakeholders to explain capabilities, limitations, and tradeoffs; challenge assumptions constructively and help teams make informed decisions
• Identify repeated work and develop shared methods or tools where they can accelerate future experimentation and deployment
• Mentor data scientists and engineers interested in ML, helping build stronger data science, ML, and AI understanding across the organization

What you’ll bring

• 7+ years of relevant experience, including a track record of leading ambiguous, production-facing data science or ML initiatives across multiple teams
• Hands-on experience building and evaluating ML systems, including LLM-powered applications; fine-tuning, SFT, or other language-model development experience is a plus
• A strong understanding of the full data science and ML lifecycle, including data and instrumentation needs, offline and online evaluation, production handoffs, monitoring, and iteration
• Strong analytical and modeling skills, especially when working with large or unstructured datasets
• Excellent stakeholder leadership — able to turn evidence into clear recommendations, educate different audiences, and influence or challenge decisions without formal authority
• Sound judgment when balancing near-term product delivery with deeper research and technical uncertainty
• Experience mentoring data scientists or engineers

Why join now?

Stack Overflow has shaped how developers learn and solve problems for over eighteen years. That foundation of trusted, human-verified knowledge is now central to how enterprises are building their AI capabilities. This role puts you at the center of that transformation, helping customers connect their internal knowledge to the AI tools their teams use every day. Professional Services is a core part of how we deliver on that mission. For the right leader, this is a career-defining opportunity to build something meaningful at a company developers actually care about.

What you’ll get in return:

• Competitive Base Salary
• Generous paid vacation
• Generous parental leave, family care leave, and unlimited sick days
• Industry-leading health benefits that are applicable per country of residence for all our full-time employees
• Company-paid Life Insurance
• Home Internet stipend
• Professional allocation for your growth and development
• One-time allowance to assist with your home office setup
• Company-paid access to Calm, Prosus Academy and Overdrive

Stack Overflow is proud to be an equal opportunity workplace. We value diversity, inclusion, equity and belonging and these pillars are at the heart of how we work together here at Stack. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For individuals based in California, and other locations where required, we will consider employment qualified applicants with arrest and conviction records.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

Samsara’s Core IT team builds the systems, processes, and experiences that let every team at Samsara do its best work. As a Principal Business Systems Analyst, you’ll own the programs with the broadest scope and highest impact on the team. These are the ambiguous, cross-functional problems that touch multiple systems and multiple stakeholders, and that shape how Core IT operates going forward. You’ll work directly with senior IT leadership and stakeholders across the business, and your frameworks and judgment will set the standard other analysts learn from.

This role is a remote position open to candidates residing in the US except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C.. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world. Your work will have real-world impact: helping keep the lights on, get food into grocery stores, reduce emissions, and keep workers safe on the job.
• You want to own problems, not just execute against ones someone else already scoped. At this level, you’ll define the problem space for some of Core IT’s most significant and ambiguous issues, and the frameworks and standards you build will be what other analysts learn from.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to keep growing. If you put in the work, this won’t be your last role at Samsara. We’ve built a culture that rewards fast development and gives people real room to master their craft as the company keeps growing.
• You want colleagues who make you better. You’ll work alongside people who support each other’s work, push each other to think more rigorously, and share the credit when something goes well.

In this role, you will:

• Own end-to-end delivery of Core IT’s highest-impact projects and programs, from problem definition through implementation, across multiple systems and business domains.
• Define the problem space on the organization’s most significant and ambiguous issues, rather than solving problems that are already scoped, and advise IT leadership on how to think about entire classes of problems, not just the issue in front of them.
• Build the requirements practices, frameworks, and standards that other analysts and the broader team adopt, raising the bar for how Core IT approaches requirements, process design, and systems thinking.
• Act as a trusted advisor to IT leadership and senior stakeholders across the business on organizational design, systems architecture, and process strategy.
• Manage IT’s engagement with the rest of the business on the programs you own: gathering requirements, coordinating resources, planning timelines, and communicating with stakeholders.
• Drive operational excellence: develop a deep understanding of IT engineering, support, and operations (financials, services, performance metrics, SLAs, and so on) and work with IT management to provide the context that drives decision-making.
• Develop, evaluate, and refine business processes, and propose improvement strategies that scale across the organization.
• Mentor other analysts and engineers, and help them grow into the next level of scope and independence.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 10+ years of business systems analysis, strategy, or architecture experience at a large-scale organization.
• Deep expertise in requirements strategy, organizational design, systems thinking, and process optimization, with mastery of the analytical disciplines behind them: data analysis, process optimization, and requirements architecture.
• A demonstrated track record advising senior leadership on complex, strategic decisions, including experience with large-scale organizational transformation or system architecture decisions.

An ideal candidate also has:

• Excellent influence skills: the ability to build trust and move decisions forward with stakeholders and teams that don’t report to you, from individual contributors to executive leadership.
• Strong analytical rigor and the communication skills to bring senior stakeholders along, in writing and in the room.
• Demonstrated ability to manage multiple complex, concurrent programs end-to-end, with full independent judgment on how to structure and staff them.
• Strong data management and analysis skills (Google Sheets/Excel, Splunk, and similar tools).
• Experience with corporate security and compliance programs: operating internal controls, preparing evidence for audits, and ensuring proper data handling in response to requests under SOX, FedRAMP, GDPR, CCPA, or similar privacy regulations.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$111,265—$149,600 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.