Senior Product Manager – Recommendation Systems

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VeSync (US)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

🛒 Retail

🛍️ eCommerce

Manufacturing • Retail • eCommerce

VeSync is a consumer electronics and technology company founded in 2011, dedicated to enhancing the lives of its customers through thoughtfully engineered products that prioritize convenience, simplicity, and practicality. Operating under brands like Levoit, Cosori, and Etekcity, VeSync offers innovative small appliances and outdoor equipment, serving a diverse e-commerce customer base globally. The company emphasizes technological sophistication in its offerings and fosters a creative work environment for its teams, while also planning to expand into physical retail markets.

📋 Description

• Own the product strategy and roadmap for recommendation systems, personalization, ranking, and recommendation delivery • Translate AI/ML model capabilities, decision logic, ontology structure, and behavioral-science outputs into a coherent recommendation experience • Identify and prioritize personalization and recommendation opportunities tied to company goals • Write product requirements, define tailoring and delivery constraints, and set success criteria • Drive launch readiness and sequence dependencies across Engineering, ML, Science, and Product • Define and defend KPIs and supporting metrics for initiatives • Lead experiment design, including micro-randomization, adaptive trials, A/B testing, and in-product experimentation • Turn experiment results into roadmap decisions and changes • Monitor production recommendation quality and engagement, flag regressions or drift, and coordinate corrective action • Partner with ML engineers on ranking, retrieval, and recommendation architecture and technical trade-offs • Align Engineering, Design, Content, Data Science, and Behavioral Science teams on scope, sequencing, timelines, risks, and blockers • Present strategy, trade-offs, and recommendations to technical and executive audiences

🎯 Requirements

• 7+ years in product management • Meaningful experience owning recommendation, ranking, personalization, search, or feed products • Experience ideally 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 • Comfort with A/B testing, experiment design, statistical significance, and metric frameworks • Ability to define, defend, and prevent KPI drift • Ability to work closely with ML engineers and data scientists on model performance, feature engineering, and system architecture • Ability to make product trade-offs based on technical constraints • Track record driving ambiguous, cross-functional initiatives from problem framing through shipped outcomes • Ability to influence and align engineering, data science, design, content, and behavioral teams without direct authority • Excellent written and verbal communication • Ability to write clear product specifications and present strategy and trade-offs to technical and non-technical audiences • Experience in health tech, digital health, wellness, wearables, or consumer subscription products strongly preferred

🏖️ Benefits

• 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