Head of Data

• Own Fi’s data platform and analytics roadmap: model our device, membership, and operational data into pipelines and warehouse layers the whole company can build on
• Design and maintain event-driven, incremental pipelines over raw device telemetry - turning millions of collar signals into usable product and fleet data models
• Manage, coach, and grow a team of four analysts; run their pipeline of work, unblock them technically, and raise the bar on rigor and documentation
• Partner with Finance on subscription and unit economics: membership forecasting, retention and LTV modeling, hardware margin, and the reporting our board and investors see
• Partner with Product and Hardware on activation, engagement, and device performance analytics - including the sensor and firmware data behind features customers actually feel
• Build self-serve BI that stakeholders genuinely use, rather than a dashboard graveyard
• Design and read experiments on pricing, onboarding, and retention, and hold the org to honest interpretation of results
• Shift the data team from a ticket-taking service function into a strategic partner embedded in the business

• 7+ years in analytics, business intelligence, data engineering, or analytics engineering, including time as the person who built or substantially rebuilt a data function
• Experience leading analysts - formally or as a player-coach - with a real point of view on how to develop them
• Deep SQL, plus hands-on work in a modern warehouse and orchestration stack (Databricks, Snowflake, Spark, Airflow, dbt or similar)
• Fluency in dimensional and event-driven modeling, and clear opinions on ELT tradeoffs, incremental builds, and cost control
• Strong BI craft in Looker, Tableau, Mode, or equivalent - you build for the stakeholder, not the demo
• Comfort partnering with Finance on models that carry real consequences: forecasts, diligence materials, margin analysis
• Ability to work in ambiguity at Series B scale, where you’ll sometimes be the entire data team for a given problem

The anticipated base salary range for this position is $150,000-$300,000. Actual compensation will vary based on multiple factors, including skills, experience, market conditions, and role scope, which may evolve during the hiring process. As a fast-growing Series B startup, Fi evaluates compensation opportunistically to align with the right candidate. This role is also eligible for equity compensation., Remote United States 172K-287K Annually Expert/Leader 172K-287K Annually Expert/Leader Biotech * Pharmaceutical Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization. Top Skills: AiseraAws SagemakerAzure MlBlue PrismCelonisCloud Data MarketplaceCopilot StudioData GovernanceData IntegrationData LineageDatabricksDatabricks Unity CatalogDockerGenaiGithub CopilotGoogle Vertex AiInformatica Intelligent Data Management CloudInformatica MdmKubeflowKubernetesLarge Language ModelsMaster Data ManagementMicrosoft CopilotMicrosoft PurviewMlflowMlopsPower AutomatePower BIProcess MiningRpaServicenowSignavioSnowflakeSparkStarburstThoughtspotTricentis ToscaUipathWorkflow Automation Atlassian

Head of Data Engineering

22 Days Ago In-Office or Remote 198K-311K Annually Expert/Leader 198K-311K Annually Expert/Leader Cloud * Information Technology * Productivity * Security * Software * App development * Automation Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services., Remote or Hybrid USA 144K-226K Annually Expert/Leader 144K-226K Annually Expert/Leader Big Data * Information Technology * Machine Learning * Sales * Software * Database * Generative AI Own ZoomInfo’s global data partnership and supply strategy, including build-buy-partner-acquire decisions, strategic data agreements, co-sell motions, acquisition theses, supplier portfolio economics, and data-quality evaluations. Lead executive partner relationships and cross-functional deal execution across sales, product, legal, privacy, security, procurement, and corporate development while ensuring compliance with global privacy regulations. Top Skills: CcpaGdpr

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Own Fi’s data platform and analytics roadmap, building event-driven pipelines, warehouse models, self-serve BI, and experimentation capabilities. Lead and develop a team of four analysts while partnering with Finance, Product, and Hardware on forecasting, unit economics, device analytics, retention, and board reporting. Serve as a strategic data leader in a fast-growing Series B startup. The summary above was generated by AI Welcome to Fi. We’re a passionate team from Square, Google, Oura, Peloton, Uber, and more working to transform the human-pet relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a pet parent. The pet industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team’s talent and expertise to improve the lives of millions of pets in the U.S. Real-time location tracking, activity, sleep and behavior monitoring - and that’s just the beginning. The most exciting aspect of our work? Bridging the communication gap between pets and humans. Imagine a world where everyone knows how their pet feels in real time and how to keep their best friend in good shape. That’s the future we’re building at Fi. If you’re someone who thrives in innovative, collaborative work environments and feels strongly about helping pets live longer, better lives, Fi could be the perfect fit. Join us in our pursuit of the “impossible,” or as we call it here “let me find a way,” to redefine the future of pet ownership together.