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Sr. Product Manager - Recommendation Systems

Vesync.com· H - Business – H - Business
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Hybrid (Tustin, CA)$140kFull-timePosted 2mo ago

About the role

Senior Product Manager responsible for owning the product strategy and roadmap for Recommendation Systems and the engine that determines what guidance, coaching, and content each user sees. Partners with Behavioral Science, Decision Science, and AI/ML Engineering to translate models and behavioral outputs into a trusted, actionable recommendation experience that drives engagement, retention, and health-behavior change.

Responsibilities

  • 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.
  • Lead KPI Definition and Defense: Propose primary and supporting metrics for every initiative, and prevent metric drift by 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.
  • Monitor Production Performance: Track recommendation quality and engagement in production, flag regressions or drift, and correct course quickly.
  • Partner with AI/ML Engineering: Work directly with ML engineers on ranking, retrieval, and recommendation architecture, engaging in technical trade-offs.
  • Align Engineering, Design, and Content: Maintain lockstep with partner teams on scope, sequencing, and timelines; communicate progress, risks, and blockers with options and recommendations.

Qualifications

  • BS/MS in a quantitative field (Computer Science, Engineering, Statistics, or related); MBA a plus.
  • 7+ years in product management, with ownership of recommendation, ranking, personalization, search, or feed products in consumer tech, health tech, or wellness.
  • Working knowledge of ranking, collaborative filtering, contextual bandits, or content-based recommendation approaches; familiarity with personalization at scale.
  • Experience with A/B testing, experiment design, statistical significance, and KPI frameworks; ability to define and defend KPIs.
  • Technical depth to work with ML engineers and data scientists on model performance, feature engineering, and system architecture; ability to make product trade-offs from technical constraints.
  • Proven track record of driving ambiguous, cross-functional initiatives end-to-end.
  • Strong cross-functional leadership to influence engineering, data science, design, and content/behavioral teams.
  • Excellent written and verbal communication; ability to present strategy and trade-offs to technical and non-technical audiences.
  • Industry knowledge in health tech, digital health, wellness, wearables, or consumer subscription products preferred.

Skills

Required:Recommendation & Personalization Systems

Benefits

  • 100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents
  • 401K with 4% employer match (eligible after 90 days) 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
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Vesync.com

smart homeconnected lifestylessmarter products
Company profileWebsite

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