Head of Data

Remote (United States)

Job Details

Employment Type: Full Time

Department: Engineering and Data Science

Compensation: $250,000–$315,000 per year

About the Role

The Head of Data will help shape strategy for consumer social products at the intersection of artificial intelligence and digital communication. Working closely with executive leadership, this person will embed data into product and business decision-making while applying modern AI tools to improve workflows and accelerate product development.

This role provides end-to-end ownership of the data function and includes building and leading a small, high-impact team in a player-coach capacity. The ideal candidate is an experienced data leader who remains closely involved in hands-on work while providing strategic direction, hiring and developing talent, and establishing high standards for data quality, experimentation, and decision-making.

Who You Are

• You enjoy building, investigating, and solving problems rather than focusing primarily on expanding your management scope.
• You are a structured thinker who can break ambiguous problems into clear components, create practical plans, and execute efficiently.
• You are highly comfortable with numbers and can quickly perform estimates and back-of-the-envelope calculations.
• You prioritize work rigorously and avoid analyses or projects that are unlikely to influence decisions or outcomes.
• You are willing to challenge assumptions and encourage product teams to quantify the expected impact of roadmap decisions.
• You pay close attention to metric definitions, statistical validity, data consistency, logging quality, and unexpected results.
• You can move comfortably between detailed analysis and high-level strategic thinking.
• You take a systems-oriented approach and continuously improve tools, workflows, and processes.
• You are proactive, resourceful, and comfortable working with a high degree of autonomy.
• You take end-to-end accountability and address problems without waiting for extensive direction or approval.
• You are evidence-driven, low-ego, and willing to revise your opinions when new data becomes available.
• You care more about finding the correct answer than receiving credit for an idea.
• You demonstrate strong ethical judgment, positive energy, and a collaborative approach to working with teammates.
• You are deeply motivated by the opportunity to create meaningful products and deliver high-impact work.

What You’ll Do

• Company Strategy: Partner directly with the CEO to shape company strategy and determine how data can support product growth, business performance, and long-term priorities.
• Growth Optimization: Identify the product features most likely to accelerate growth and build systems that continuously measure, evaluate, and optimize their performance.
• Revenue Strategy: Collaborate with the CFO to use data and analysis to support revenue growth and improve business decision-making.
• Data Function Ownership: Own the data function end to end, including strategy, infrastructure, analytical standards, operating processes, reliability, hiring, communication, and team development.
• Data Infrastructure: Strengthen and expand the systems that support product decisions, system health, company performance, and progress toward organizational goals.
• Modern Data Stack: Build on an established technology stack that includes BigQuery, dbt, Mode, Eppo, and Dust, using product data from millions of users.
• Data Pipelines: Architect, build, and improve robust data pipelines that provide accurate, dependable, and timely information.
• Experimentation Infrastructure: Develop and maintain reliable experimentation systems that support statistically sound testing and clear decision-making.
• Metrics and Dashboards: Establish precise metric definitions and build dashboards and monitoring tools that make product and business performance easy to understand.
• Experiment Analysis: Personally review complex experiments, evaluate results, identify limitations, and ensure readouts meet a high standard of statistical quality.
• Decision Forums: Own the forums where teams align on performance, including experiment readouts, post-launch reviews, and discussions of weekly metric movement.
• Cross-Functional Alignment: Serve as the connection point across product decisions by helping teams understand what is working, what is not working, and what actions should follow.
• Product Recommendations: Translate detailed analysis into clear recommendations about what to build, how to measure success, and where the organization should focus.
• AI-Enabled Workflows: Explore and implement advanced AI tools that improve data workflows and increase the speed and quality of execution.
• Automation: Help develop a closed-loop operating system in which data increasingly automates important work, including feature prioritization, bug detection, and performance monitoring.
• Hands-On Leadership: Personally lead the highest-impact investigations, experiment readouts, data audits, and analytical projects while establishing the quality standard for the team.
• Tool Development: Prototype and build new AI-powered tools that create leverage for product, data, and business teams.
• Team Building: Hire and develop a small, high-performing team of data professionals.
• Mentorship: Mentor high-potential Data Scientists and help them strengthen their technical, analytical, product, and communication skills.
• Data Culture: Build a culture centered on accuracy, practical decision-making, continuous improvement, accountability, and high-quality execution.
• Process Improvement: Regularly review completed work, identify lessons, and improve systems and processes based on those findings.
• Product Impact: Help develop social products that create meaningful connections and introduce new ways for people to communicate and build relationships.

Qualifications

• Approximately 10 years of relevant experience, preferably within high-growth consumer companies.
• Experience leading a data function and building and managing a data team.
• Ability to operate as a player-coach, combining leadership responsibilities with hands-on technical and analytical work.
• Experience architecting and building robust data pipelines, experimentation infrastructure, metrics dashboards, and monitoring tools.
• Strong SQL skills and the ability to independently investigate complex data and business questions.
• Experience reviewing complex experiments and ensuring that results and conclusions are statistically sound.
• Experience defining precise metrics and maintaining high standards for data quality, logging, reliability, and monitoring.
• Ability to present detailed metrics, findings, and recommendations to executive leaders and Board-level stakeholders.
• Strong product and business judgment, with the ability to use data to guide product development, growth, and revenue decisions.
• Experience hiring, mentoring, and developing Data Scientists.
• Ability to evaluate and adopt emerging AI tools for data workflows, automation, and internal systems.
• Excellent written and verbal communication skills, with the ability to simplify complex information into clear, structured, and actionable recommendations.

Benefits

• Comprehensive health benefits for employees and their dependents.
• Meaningful company equity.
• 401(k) retirement plan.
• Company-sponsored trips.
• More than $10,000 in additional perks and stipends.
• Substantial investment in professional development and long-term career growth.
• Opportunity to work directly with senior leadership and contribute to major product and business decisions.
• Autonomy to focus on high-impact work while building the data function, team, systems, and culture.