{"id":722143,"url":"https://alion.io/job/vesync-sr-product-manager-recommendation-systems","title":"Sr. Product Manager - Recommendation Systems","company":{"id":686000,"name":"Vesync Co., Ltd","domain":"vesync.com","url":"https://alion.io/company/vesync","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tustin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":238000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2761},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-08-04T20:52:56Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-29T23:00:56Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"The Company:\nVeSync is a portfolio company with brands that cover different categories of health & wellness products. We wouldn’t be surprised if you have one of our Levoit air purifiers in your living room or a COSORI air fryer whipping up healthy and delicious meals for you every night.\nWe’re a young and energetic company, we’ve had tremendous success, and we are constantly growing our team. As we garner more industry attention - just check out our accomplishments and awards by CES Innovation, iF Design, IGA, and Red Dot - we also need driven and talented people to join our team.\nThat brings us to you, and what you’ll be joining. Our teams are smart and diligent and take ownership of their work - they’re confident in their work but know how to collaborate with open ears and a spirit of learning. If you’re down-to-earth, approachable, and easy to strike up a conversation with, this may be a great fit for you.\nCheck out our brands:\nlevoit.com | cosori.com | etekcity.com | pawsync.com\nThe Opportunity:\nWe are seeking a Senior Product Manager to own product strategy for Recommendation Systems for health and wellness solutions and the engine that decides what guidance, coaching, and content each user sees, and when they see it. Reporting to the Head of Behavioral Science, Coaching, and Program Design, this role sits at the center of the product: partnering with Applied Behavioral Science on decision logic, with Decision Science on causal inference, and with AI/ML Engineering on ranking, personalization, and system architecture, to turn model and behavioral-science outputs into a recommendation experience people trust and act on.\nYou will own the roadmap for ranking, personalization, and the recommendation surface end-to-end - defining product strategy, prioritizing opportunities, designing experiments, and shipping outcomes that move engagement, retention, and real health-behavior change. This is a high-ownership, high-visibility role for someone who can operate independently in ambiguity, translate technical and behavioral complexity into a clear roadmap, and align Engineering, ML, Design, Behavioral Science, and Content around a shared bet.\nThis 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.\nWhat you will do at VeSync:\nProduct Strategy & Roadmap\nOwn 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.\nTranslate 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.\nIdentify 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.\n Define Product Requirements: Write clear requirements, specify tailoring and delivery constraints (cadence, cooldowns, sequencing) and set success criteria for every initiative.\nOwn 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.\nExperimentation & Measurement\nLead KPI Definition and Defense: Propose primary and supporting metrics for every initiative, and prevent metric drift by proactively aligning stakeholders on what “working” means.\nOwn 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.\nDrive Experiments to Decisions: Turn experiment results into roadmap changes, not just readouts - ensuring rigor doesn’t come at the expense of shipping speed.\nMonitor Production Performance: Track recommendation quality and engagement in production, flag regressions or drift, and work with ML and Science to correct course quickly.\nCross-Functional Leadership\nPartner with AI/ML Engineering: Work directly with ML engineers on ranking, retrieval, and recommendation architecture, engaging meaningfully in technical trade-off discussions.\nAlign 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.\nCommunicate with Clarity: Present strategy, trade-offs, and recommendations with high signal-to-noise, in writing and in person, to both technical and executive audiences.\nWhat you bring to the role:\n Education: BS/MS in a quantitative field (Computer Science, Engineering, Statistics, or related) preferred; MBA a plus.\nExperience: 7+ years in product management, including meaningful time owning recommendation, ranking, personalization, search, or feed products, ideally in consumer tech, health tech, or wellness.\nRecommendation & Personalization Systems: Working knowledge of ranking, collaborative filtering, contextual bandits, or content-based recommendation approaches, and familiarity with personalization at scale.\nExperimentation & Causal Rigor: Comfort with A/B testing, experiment design, statistical significance, and metric frameworks; ability to define, defend, and prevent drift on KPIs.\nTechnical 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.\nOwnership and Bias to Action: Track record of driving ambiguous, cross-functional initiatives end-to-end - from problem framing through strategy to shipped outcomes.\nCross-Functional Leadership: Demonstrated ability to influence and align engineering, data science, design, and content/behavioral teams without direct authority.\nCommunication: Excellent written and verbal communication; able to write clear product specs and present strategy and trade-offs to both technical and non-technical audiences.\n Industry Knowledge: Experience in health tech, digital health, wellness, wearables, or consumer subscription products is strongly preferred.\nLocation:\nTustin, CA\nSalary:\nStarting at $140K Annually\nPerks and Benefits:\n100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents!\n401K with 4% employer match (eligible after 90 days of employment) and immediate 100% vesting\nGenerous PTO policy + paid holidays\nLife Insurance\nVoluntary Life Insurance\nDisability Insurance\nCritical Illness Coverage\nAccident Insurance\nHealthcare FSA\nDependent Care FSA\nTravel Assistance Program\nEmployee Assistance Program (EAP)\nFully stocked kitchen","description_format":"text","description_chars":7003,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Home Appliances"],"lifecycle":[{"event":"open","at":"2026-09-11T07:26:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":197500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.615,"p_room":0.28,"age_days":85,"expected_fill_days":38,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/vesync-sr-product-manager-recommendation-systems","json_url":"https://alion.io/job/vesync-sr-product-manager-recommendation-systems.json","meta":{"generated_at":"2026-10-30T02:17:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3068,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":686000},"rest":"https://alion.io/mcp/rest/get_company?id=686000"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvesync-sr-product-manager-recommendation-systems"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvesync-sr-product-manager-recommendation-systems"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvesync-sr-product-manager-recommendation-systems"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vesync-sr-product-manager-recommendation-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvesync-sr-product-manager-recommendation-systems"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":722143}},{"tool":"search_jobs","arguments":{"company":"vesync.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":722143},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}