Senior Product Manager

VeSync; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

VeSync is seeking a product leader to own the strategy and roadmap for its health and wellness recommendation systems. You will drive translation of complex ML-driven concepts into actionable product plans and experiments, collaborating across ML, engineering, design, behavioral science, and content teams.

You will partner with behavioral science and decision science to refine decision logic and causal inference, delivering features that boost engagement and retention while aligning with company

Qualifications

• Strong technical fluency in ML and recommendation systems.
• Ability to operate independently in ambiguous environments.
• Experience translating technical and behavioral complexity into clear product roadmaps.
• Proven track record of shipping outcomes that drive engagement and retention.

Responsibilities

• Own the product strategy for Recommendation Systems for health and wellness solutions.
• Manage the engine that determines guidance, coaching, and content delivery for users.
• Own the end-to-end roadmap for ranking, personalization, and the recommendation surface.
• Define product strategy, prioritize opportunities, and design experiments.
• Partner with Applied Behavioral Science on decision logic and Decision Science on causal inference.
• Collaborate with AI/ML Engineering on ranking, personalization, and system architecture.
• Align Engineering, ML, Design, Behavioral Science, and Content teams around shared goals.

Skills

ML expertise

Recommendation systems

Independent work

Roadmap planning

Job description

About the Company

VeSync is a portfolio company with brands that cover different categories of health & wellness products, including Levoit, COSORI, Etekcity, and Pawsync. We are a young, energetic, and award-winning company recognized by CES Innovation, iF Design, IGA, and Red Dot.

Responsibilities

• Own the product strategy for Recommendation Systems for health and wellness solutions.
• Manage the engine that determines guidance, coaching, and content delivery for users.
• Own the end-to-end roadmap for ranking, personalization, and the recommendation surface.
• Define product strategy, prioritize opportunities, and design experiments.
• Partner with Applied Behavioral Science on decision logic and Decision Science on causal inference.
• Collaborate with AI/ML Engineering on ranking, personalization, and system architecture.
• Align Engineering, ML, Design, Behavioral Science, and Content teams around shared goals.

Requirements

• Strong technical fluency in ML and recommendation systems.
• Ability to operate independently in ambiguous environments.
• Experience translating technical and behavioral complexity into clear product roadmaps.
• Proven track record of shipping outcomes that drive engagement and retention.