Instacart17 дней назад

Senior Product Manager, Catalog

Зарплата не указана

РЫНОК

16 250 ₽медиана по профессии

Data Scientist · 212 вакансий с указанной зарплатой

5 000половина предложений: 13 084–21 768120 000

Работодатель не указал зарплату — сравните с рынком сами.

United States - Remote

Обязанности

01Own the end-to-end strategy and roadmap for catalog attributes — aligning cross-functional partners around clear outcomes, success metrics, and milestones, and maintaining a roadmap process transparent enough that every side of the marketplace can depend on it
02Translate ambiguous, complex problems into structured plans and drive execution from discovery and prioritization through launch, iteration, and scale, spanning a development process that includes Ops, Engineering, ML, Legal, and commercial partners
03Use data and customer insights to run experiments, understand root causes, and design solutions that balance speed and accuracy across the attribute lifecycle — defining KPIs, interpreting results, and making sound tradeoffs between precision and recall
04Build strong relationships and feedback loops across Product, Engineering, Design, Analytics, Operations, Machine Learning, Sales, Ads, Search, Legal, Brand, and Support — communicating transparently to drive clarity, commitment, and shared ownership of attribute quality
05Establish and continuously improve mechanisms for operational excellence — owning governance rituals, quality dashboards, postmortems, and platform investments that make attribute quality defensible at scale and compound over time

015+ years of product management experience, with meaningful time spent in catalog, data platforms, content systems, or ML/AI-adjacent products — including ownership of complex, cross-functional programs with measurable impact
02Proven ability to set strategy, prioritize ruthlessly, and deliver high-quality outcomes in fast-paced, dynamic environments — including building governance structures and quality systems, not just shipping features
03Demonstrated proficiency using data to drive decisions — defining KPIs, partnering with Analytics, interpreting experiments, and reasoning about precision/recall and ML model tradeoffs — with comfort navigating ambiguity to find clarity
04Exceptional written and verbal communication skills, with a track record of building trust and alignment across high-stakeholder-count environments where no single team controls all the inputs

01Flex First team with flexibility to choose where to work — from home, an office, or a coffee shop
02Regular in-person events to stay connected and build community
03Highly market-competitive compensation and benefits
04This role is remote