Senior Product Manager – Recommendation Systems

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product strategy and roadmap for recommendation systems, personalization, ranking, and recommendation delivery.

• Convert AI/ML model capabilities, decision-making logic, ontology structure, and behavioral science insights into a cohesive recommendation experience.

• Identify and prioritize opportunities for personalization and recommendations that align with company objectives.

• Draft product requirements, define customization and delivery limitations, and establish success metrics.

• Ensure launch readiness and manage sequence dependencies across Engineering, ML, Science, and Product teams.

• Define and advocate for KPIs and associated metrics for each initiative.

• Lead the design of experiments, including micro-randomization, adaptive trials, A/B testing, and in-product experimentation.

• Translate experimental results into roadmap adjustments and decisions.

• Monitor the quality and engagement of production recommendations, identifying regressions or drift, and coordinating corrective actions.

• Collaborate with ML engineers on ranking, retrieval, recommendation architecture, and technical trade-offs.

• Align Engineering, Design, Content, Data Science, and Behavioral Science teams regarding scope, sequencing, timelines, risks, and blockers.

• Present strategy, trade-offs, and recommendations to both technical and executive stakeholders.

⛳️ Requirements

• A minimum of 7 years of experience in product management.

• Significant experience managing recommendation, ranking, personalization, search, or feed products.

• Preferably, experience in consumer tech, health tech, or wellness sectors.

• Working knowledge of ranking, collaborative filtering, contextual bandits, or content-based recommendation methods.

• Familiarity with large-scale personalization.

• Proficiency in A/B testing, experiment design, statistical significance, and metric frameworks.

• Ability to define, defend, and mitigate KPI drift.

• Capability to collaborate closely with ML engineers and data scientists regarding model performance, feature engineering, and system architecture.

• Skill in making product trade-offs considering technical constraints.

• Proven track record of driving vague, cross-functional initiatives from problem definition to successful outcomes.

• Ability to influence and align engineering, data science, design, content, and behavioral teams without direct authority.

• Exceptional written and verbal communication skills.

• Competence in drafting clear product specifications and presenting strategies and trade-offs to both technical and non-technical audiences.

• Experience in health tech, digital health, wellness, wearables, or consumer subscription products is highly preferred.

🏝️ Benefits

• 100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents.

• 401K with a 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.