Job Details

Role: Engagement Manager - Product Analytics

Location: San Francisco, CA (Hybrid: 2-3 days from office/ week)

Compensation: $160k - $180k + 15% Bonus

Role and Responsibilities:

As the Product Analytics Engagement Manager, you will lead the design, implementation, and optimization of product analytics strategies, focusing on instrumentation, experimentation, and actionable insights across digital products. Acting in a consulting capacity, you will partner with senior stakeholders to translate business goals into measurable outcomes, build reliable data foundations, and scale analytics solutions that drive product growth and user engagement.

• Serve as the primary analytics partner for product teams, engaging with senior stakeholders across Product, Engineering, and Data.
• Design and optimize product analytics frameworks (funnels, cohorts, retention, feature adoption, content tests) to drive clear business outcomes.
• Define and implement tracking plans, event taxonomies, and oversee instrumentation for accurate and scalable data collection.
• Ensure data quality, governance, and reliability across analytics pipelines and reporting systems.
• Establish and manage test-and-learn frameworks for product features (A/B, incrementality, lift) with rigorous measurement and analysis.
• Build and refine forecasting models (time‑series, causal) for product usage, engagement, and growth metrics.
• Create executive‑ready dashboards and KPIs for product performance, health, and growth levers; recommend data‑driven actions.
• Partner with engineering and data teams to operationalize analytics solutions (segmentation, triggers, journeys, personalization).
• Lead analytical projects with on/offshore teams; ensure quality, timeliness, and smooth productionization of solutions.
• Stay abreast of industry trends in product analytics, instrumentation, and experimentation; recommend innovative approaches.

Candidate Profile:

• 7+ years of experience in product analytics, consulting, solution design, and client management.
• Advanced proficiency in analytics tools and programming languages (SQL, Python, R, or similar).
• Deep expertise in product instrumentation, event tracking, and data engineering for digital products.
• Experience designing and analyzing experiments (A/B testing, multivariate, incrementality).
• Strong understanding of digital product metrics (activation, engagement, retention, feature adoption).
• Demonstrable leadership ability, superior problem‑solving and people‑management skills.
• Excellent communication, presentation, and story‑building skills in a consulting setup.
• Masters degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas; candidates with BA/BS degrees in the same fields from top‑tier academic institutions are also welcome to apply.