8 часов назад
Principal Product Manager, Recommendations & Discovery (AI)
265 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Product Manager, Recommendations & Discovery (AI): Own personalization across Babylist's consumer experience, including homepage feeds, product recommendations, search, and ML-powered registry-building experiences with an accent on recommendation quality, customer value, and commercial impact. Focus on setting the two-year personalization strategy, shaping retrieval, ranking, candidate generation, and evaluation systems, and partnering with ML Engineering to build scalable AI-powered products.
Location: United States; remote-first
Salary: $265,000–$330,000 annual base salary, plus a target 22.5% annual bonus and competitive equity.
Company
is a platform for expecting and new families, combining a universal registry, shopping, health, financial products, content, and expert recommendations.
What you will do
- Own personalization across homepage feeds, product recommendations, search, and registry-building experiences.
- Set the two-year product strategy, KPIs, investment priorities, and quality bar for recommendations and discovery.
- Partner with ML Engineering on modeling, data, evaluation infrastructure, and technical direction.
- Define tradeoffs between business objectives and user-perceived relevance while driving registry completion, GMV, advertising revenue, and retention.
- Build AI-enabled prototypes and analyses, and ship directly when that is the fastest path to learning.
- Mentor PMs, raise product judgment across the organization, and contribute to hiring.
Requirements
- Principal PM, GPM, Director, or comparable product leadership experience with organization-level influence.
- Experience shipping consumer-facing recommendations, search, ranking, or personalization systems at scale.
- Strong understanding of candidate generation, ranking, offline and online evaluation, cold start, exploration and exploitation, novelty effects, and responsible ML delivery.
- Technical fluency across data pipelines, feature engineering, model training, deployment, monitoring, and iteration.
- Ability to work as a peer to senior ML Engineering leaders and translate ambiguous business problems into technical direction.
- Experience with commercial ownership, customer research, unit economics, cross-functional strategy, and daily use of LLMs or AI coding tools.
Culture & Benefits
- Remote-first work environment with team members across the United States and Canada.
- Company gatherings twice a year and a focus on intentional work, recharge time, and exceptional management.
- Company-paid medical, dental, and vision insurance, plus retirement matching and flexible spending accounts.
- Paid parental leave, paid time off, and a company-wide paid week off at the end of the year.
- Remote work stipend and additional support for physical, mental, emotional, parenting, childcare, and financial well-being.
- AI tools including Claude and ChatGPT are provided for daily work.
Hiring process
- Interviews may be recorded and transcribed for evaluation with candidate consent.
- AI tools are used to support application review and assessment, while final hiring decisions are made by people.
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