Senior PM - Personalization & Recommendation Systems

VeSync; United States; Remoto; USD 120.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical/Dental/Vision for employee and

Dependent coverage

401K with company match

Generous PTO

Life Insurance

Disability Insurance

FSA

Travel Assistance Program

EAP

Fully stocked kitchen

Descrizione del lavoro

VeSync seeks a Senior Product Manager to own product strategy for Recommendation Systems for health and wellness solutions, shaping the engine that guides what guidance, coaching, and content each user sees. You will report to the Head of Behavioral Science, Coaching, and Program Design and partner with AI/ML, decision science, and product teams to turn models into a trusted recommendation experience.

You will own the end-to-end roadmap for ranking, personalization, and the recommendation

Competenze

• 7+ years in product management with ownership of recommendation or ranking systems.
• Experience in ML-enabled products and health tech or wellness is preferred.
• Strong collaboration skills across engineering, data science, design and content.

Mansioni

• Own the recommendation systems roadmap and define strategy.
• Translate model outputs into shippable product experiences.
• Lead experiments and drive decisions to roadmap changes.
• Collaborate with ML, data science, design and content teams.

Conoscenze

Product management

Recommendation systems

Experimentation

Cross-functional leadership

Communication

Ownership

Formazione

BS/MS in quantitative field

MBA (plus)

Descrizione del lavoro

VeSync seeks a Senior Product Manager to own product strategy for Recommendation Systems for health and wellness solutions, shaping the engine that guides what guidance, coaching, and content each user sees. You will report to the Head of Behavioral Science, Coaching, and Program Design and partner with AI/ML, decision science, and product teams to turn models into a trusted recommendation experience.

You will own the end-to-end roadmap for ranking, personalization, and the recommendation