Sr. Product Manager - Recommendation Systems

Product Strategy & Roadmap

• Own the Recommendation Systems Roadmap: Define and own the product strategy and roadmap for personalization and recommendation deliver, prioritizing bets that move engagement, retention, and health-behavior outcomes.
• Translate Model & Behavioral Outputs into Product: Partner with AI/ML and Behavioral Science to turn decision-logic outputs, ontology structure, and model capabilities into a coherent, shippable recommendation experience.
• Identify and Prioritize Opportunities: Evaluate new personalization and recommendation opportunities across the app and user journey — and build a prioritized pipeline tied to company-level goals.
• Define Product Requirements: Write clear requirements, specify tailoring and delivery constraints (cadence, cooldowns, sequencing) and set success criteria for every initiative.
• Own Launch Readiness: Drive the recommendation system toward launch, sequencing dependencies across Engineering, ML, Science, and Product, ensuring instrumentation and guardrails are in place before release.

Experimentation & Measurement

• Lead KPI Definition and Defense: Propose primary and supporting metrics for every initiative, and prevent metric drift by proactively aligning stakeholders on what “working” means.
• Own Experiment Design End-to-End: Partner with Behavioral Science on micro-randomization, adaptive trial designs and in-product experimentation; ensure every test is tied to a concrete product decision.
• Drive Experiments to Decisions: Turn experiment results into roadmap changes, not just readouts — ensuring rigor doesn’t come at the expense of shipping speed.
• Monitor Production Performance: Track recommendation quality and engagement in production, flag regressions or drift, and work with ML and Science to correct course quickly.

Cross-Functional Leadership

• Partner with AI/ML Engineering: Work directly with ML engineers on ranking, retrieval, and recommendation architecture, engaging meaningfully in technical trade-off discussions.
• Align Engineering, Design, and Content: Maintain lockstep with partner teams on scope, sequencing, and timelines, and keep stakeholders informed of progress, risks, and blockers with clear options and recommendations.
• Communicate with Clarity: Present strategy, trade-offs, and recommendations with high signal-to-noise, in writing and in person, to both technical and executive audiences.

• Education: BS/MS in a quantitative field (Computer Science, Engineering, Statistics, or related) preferred; MBA a plus.
• Experience: 7+ years in product management, including meaningful time owning recommendation, ranking, personalization, search, or feed products, ideally in consumer tech, health tech, or wellness.
• Recommendation & Personalization Systems: Working knowledge of ranking, collaborative filtering, contextual bandits, or content-based recommendation approaches, and familiarity with personalization at scale.
• Experimentation & Causal Rigor: Comfort with A/B testing, experiment design, statistical significance, and metric frameworks; ability to define, defend, and prevent drift on KPIs.
• Technical Depth: Proven ability to work closely with ML engineers and data scientists on model performance, feature engineering, and system architecture, and to make sound product trade-offs from technical constraints.
• Ownership and Bias to Action: Track record of driving ambiguous, cross-functional initiatives end-to-end — from problem framing through strategy to shipped outcomes.
• Cross-Functional Leadership: Demonstrated ability to influence and align engineering, data science, design, and content/behavioral teams without direct authority.
• Communication: Excellent written and verbal communication; able to write clear product specs and present strategy and trade-offs to both technical and non-technical audiences.
• Industry Knowledge: Experience in health tech, digital health, wellness, wearables, or consumer subscription products is strongly preferred.

• 100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents!
• 401K with 4% employer match (eligible after 90 days of employment) and immediate 100% vesting
• Generous PTO policy + paid holidays
• Life Insurance
• Voluntary Life Insurance
• Disability Insurance
• Critical Illness Coverage
• Accident Insurance
• Healthcare FSA
• Dependent Care FSA
• Travel Assistance Program
• Employee Assistance Program (EAP)
• Fully stocked kitchen