Staff Product Manager, Recommendations & Discovery
hackajob · United States
- Hybrid
- Full-time
- $235,000 / year
- United States
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Job highlights
- Lead personalization and discovery at Babylist.
- Own ML-powered recommendations and feed systems.
- Partner closely with ML Engineering team.
- Drive strategy for an AI-native company.
- Impact millions of families' journeys.
About the role
Staff Product Manager, Recommendations & Discovery at Babylist
Babylist is seeking an exceptional Staff Product Manager to lead personalization and discovery initiatives across their consumer experience. This role is crucial for enhancing the homepage feed, product recommendations, and the ML-powered systems that streamline the registry-building journey. As a key product leader, you will leverage Babylist's extensive first-party data and AI capabilities to deliver personalized experiences to millions of families.
About Babylist
Babylist is the leading platform for expecting and new families, offering a comprehensive ecosystem including a universal registry, shop, health, and money services. With over 10 million users annually and generating $750M in revenue in 2025, Babylist is a major player in the $235B kids and baby market. They operate as a remote-first, AI-forward tech company committed to innovation and positive impact.
Our Ways of Working
- Remote-first with team members across the U.S. and Canada.
- AI is an integrated part of daily work, not an experiment.
- Regular in-person meetups twice a year to foster team relationships.
- Hiring individuals who are passionate about possibilities and demonstrate it through action.
What The Role Entails
You will own the strategy and execution for recommendations and discovery, acting as the foremost expert in the company. This involves:
- Defining the one-year horizon for product personalization.
- Partnering closely with the ML Engineering team, influencing model behavior and technical direction.
- Setting the quality bar for ML-powered experiences and making critical tradeoffs.
- Raising the company's understanding and judgment of ML investments.
- Operating as an AI-enabled builder, leveraging AI tools for prototyping and analysis.
- Mentoring and developing other Product Managers, contributing to hiring and team growth.
Who You Are
You are a seasoned product leader with significant experience in ML-powered consumer products, specifically owning recommendation, personalization, or discovery surfaces at scale. You have held Senior PM, Staff PM, GPM, or comparable Lead roles and are motivated by the opportunity to shape an early-stage ML journey.
What You Bring
- Deep B2C ML product experience with shipped recommendation, search, ranking, or personalization systems.
- Strong technical fluency with the full ML lifecycle (data pipelines, feature engineering, training, deployment, monitoring).
- A builder's instinct for early-stage ML, understanding when rules or guardrails are appropriate.
- Strategic foresight to articulate and execute on a personalization maturity curve.
- Deep customer expertise, regularly engaging with users to inform decisions.
- Commercial ownership, understanding business drivers like GMV, ad revenue, and retention.
- Extreme clarity in communication and thought.
- Daily practice with AI tools for prototyping, analysis, and data querying.
- Adaptability, humility, and a bias for action.
Preferred Qualifications:
- Background in e-commerce or marketplaces.
- Experience building or scaling an ML personalization function from scratch.
Compensation & Benefits
The starting salary range for this role is $214,057 to $256,885, based on location, experience, and qualifications. Babylist offers a comprehensive benefits package including:
- Competitive pay and equity.
- Company-paid medical, dental, and vision insurance.
- Retirement savings plan with company matching.
- Generous paid parental leave and PTO.
- Remote work stipend.
- Perks for physical, mental, and emotional well-being.
Key Skills/Competency
- Product Management
- Machine Learning (ML)
- Personalization
- Recommendations Systems
- Discovery
- E-commerce
- AI/ML Strategy
- Data Analysis
- User Experience (UX)
- Technical Leadership
Skills & topics
- Product Management
- Machine Learning
- Recommendations
- Discovery
- Personalization
- E-commerce
- AI
- Staff Product Manager
- Consumer Products
- B2C
How to get hired
- Tailor your resume: Highlight your experience with ML-powered personalization, recommendations, and discovery systems, emphasizing end-to-end ownership and scale.
- Showcase AI fluency: Detail your daily use of AI tools for prototyping, analysis, and faster workflows.
- Quantify impact: Use metrics to demonstrate your commercial ownership and how your product decisions drove business outcomes like GMV or retention.
- Prepare for technical depth: Be ready to discuss ML lifecycles, model tradeoffs, and AI-native PM craft.
- Understand the mission: Articulate why Babylist's focus on expecting and new families resonates with you.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for the Staff Product Manager role at Babylist?
- The starting salary range for the Staff Product Manager, Recommendations & Discovery role at Babylist is $214,057 to $256,885 annually. Your final salary will depend on factors such as your location, experience, and qualifications.
- Is this a remote position? What are Babylist's work arrangements?
- Yes, Babylist operates on a remote-first model, with team members located across the U.S. and Canada. While the team comes together twice a year for in-person events, the day-to-day work is fully remote.
- What is Babylist's approach to AI and Machine Learning?
- Babylist is an AI-forward company where AI is intentionally embedded in daily work, not treated as an experiment. The Staff Product Manager role specifically focuses on leveraging ML for personalization and discovery using rich first-party data.
- What kind of experience is most valued for this Staff Product Manager role?
- Babylist seeks a product leader with meaningful experience in ML-powered consumer products, specifically owning recommendation, personalization, or discovery surfaces at scale. Technical fluency with the ML lifecycle and a builder's instinct for early-stage ML are highly valued.
- How does Babylist approach compensation and benefits for this role?
- Babylist offers competitive pay with equity and bonus opportunities, alongside comprehensive benefits. This includes company-paid health insurance, a retirement savings plan with matching, generous parental leave, and a remote work stipend.
- What does 'commercial ownership' mean in the context of this Staff Product Manager job?
- Commercial ownership means you understand and are accountable for the business impact of your product decisions. For this role, it involves fluency in how recommendations and discovery drive key metrics like registry completion, GMV, ad revenue, and retention.
- Will interviews be recorded for this Staff Product Manager position?
- Yes, Babylist uses an interview recording tool for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. This is part of their AI-native approach to operations.
- What is the primary focus of the Staff Product Manager role at Babylist?
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