Lead how data, analytics, and experimentation are applied to test assumptions and inform product decisions across digital products.
Translate company and product objectives into clear, measurable outcomes and leading indicators.
Establish standards for how product bets are framed, instrumented, measured, and evaluated.
Proactively identify measurement gaps and define plans to close them.
Own the design and execution of validation strategies across major product initiatives, selecting appropriate methods based on risk, confidence, and impact.
Drive rigorous assumption testing, including prototypes, behavioral analysis, feature experiments, and A/B testing where appropriate.
Define clear success criteria, guardrails, and decision frameworks before experiments launch.
Lead analysis and interpretation of results, translating findings into clear product recommendations and next steps.
Ensure experimentation efforts remain focused on meaningful customer and business outcomes.
Independently write complex SQL queries to answer high-impact product and business questions.
Conduct deep exploratory analyses to identify growth opportunities, engagement drivers, and areas of friction.
Design, build, and maintain dashboards that provide trusted visibility into product performance and user behavior.
Standardize metric definitions and ensure alignment across teams.
Elevate measurement rigor across initiatives, ensuring every meaningful product bet has a clear evaluation plan.
Partner with Product, Engineering, and Design to embed validation and measurement into discovery and delivery workflows.
Work closely with Engineering and Data teams to define instrumentation requirements and improve data quality.
Serve as the subject matter expert for experimentation and product analytics within the tech team.
Coach peers on hypothesis framing, success metrics, and interpreting results.

Requirements

6–10 years of experience in product management, product analytics, or data-focused roles.
Strong hands-on experience querying data (SQL required).
Experience building dashboards and data visualizations using modern analytics tools.
Deep experience leading experimentation and validation efforts, with demonstrated ownership of designing, executing, and interpreting assumption testing and experiments across multiple product initiatives.
Proven ability to translate data insights into product decisions and measurable outcomes.
Strong problem-solving skills with the ability to work through ambiguity.
Excellent written and verbal communication skills.
Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
Ability to remain organized and detail-oriented while managing multiple initiatives simultaneously.
Experience supporting consumer-facing digital products.
Familiarity with experimentation and event-based analytics platforms.
Experience working in media, streaming, or content-driven applications.
Exposure to outcome-based product practices or hypothesis-driven development.

Benefits

medical/dental/vision
insurance
401(k) plan
paid time off
other benefits in accordance with applicable plan documents

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata visualizationA/B testingbehavioral analysisprototypingexperimental designdata analysisdashboard creationmetric standardizationhypothesis testing

Soft Skills

problem-solvingcommunicationorganizational skillsdetail-orientedleadershipcollaborationcoachinganalytical thinkingadaptabilitycritical thinking