Engagement Manager
1 day ago
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.
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