Hiring: Sr. Product Manager - Recommendation Systems Company: VeSync Location: Tustin, CA Job Posted Time: 2026-09-16 13:46:17 Target Skills & Keywords : A/B Testing, Product Management, Product Strategy About the job 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. •Solid functional working knowledge of ranking, collaborative filtering, contextual bandits, or content-based recommendation approaches, and familiarity with personalization at scale. •Comfort with A/B testing, experiment design, statistical significance, and metric frameworks; ability to define, defend, and prevent drift on KPIs. •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. •Track record of driving ambiguous, cross-functional initiatives end-to-end — from problem framing through strategy to shipped outcomes. Required Skills: •This is a high-leverage, intellectually demanding role for a senior product manager who combines strong technical fluency in ML/recommendation systems with genuine curiosity about behavior change, and who is comfortable operating at an industry pace across a system that is still being built. •Define and own the product strategy and roadmap for personalization and recommendation deliver, prioritizing bets that move engagement, retention, and health-behavior outcomes. •Partner with AI/ML and Behavioral Science to turn decision-logic outputs, ontology structure, and model capabilities into a coherent, shippable recommendation experience. •Evaluate new personalization and recommendation opportunities across the app and user journey — and build a prioritized pipeline tied to company-level goals. Qualifications: •Write clear requirements, specify tailoring and delivery constraints (cadence, cooldowns, sequencing) and set success criteria for every initiative. •Strategically drive recommendation system toward launch, sequencing dependencies across Engineering, ML, Science, and Product, ensuring instrumentation and guardrails are in place before release. •Propose primary and supporting metrics for every initiative, and prevent metric drift by proactively aligning stakeholders on what “working” means. •Partner with Behavioral Science on micro-randomization, adaptive trial designs and in-product experimentation; ensure every test is tied to a concrete product decision. •Turn experiment results into roadmap changes, not just readouts — ensuring rigor doesn’t come at the expense of shipping speed. •Track recommendation quality and engagement in production, flag regressions or drift, and work with ML and Science to correct course quickly. •Cross-Functional Leadership •Work directly with ML engineers on ranking, retrieval, and recommendation architecture, engaging meaningfully in technical trade-off discussions. Compensation: •100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents! Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!