5 дней назад
Senior Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI): Building zero-to-one grocery retail and CPG products from customer discovery through MVP, launch, and first revenue with an accent on food intelligence, data-driven product experiences, and AI/LLM-powered features. Focus on validating willingness to pay, leading retail and CPG pilots, defining success metrics, and aligning science, data, engineering, and commercial teams.
Location: Remote in the United States
Company
develops an AI-driven food intelligence platform using a comprehensive product dataset and scientific logic engine to help families, retailers, and CPG brands make better food-related decisions.
What you will do
- Own new grocery retail and CPG product development from customer discovery and concept validation through MVP, launch, and first revenue.
- Run structured discovery with retailers, CPG brands, category managers, and merchandisers to identify valuable problems and validate willingness to pay.
- Define lean MVP scope, write requirements, and deliver early product versions to real customers.
- Translate food data assets, scoring systems, and ingredient intelligence into products that retail and CPG customers adopt and pay for.
- Lead pilot engagements, coordinate scope and timelines, and convert successful pilots into repeatable products.
- Work with Science, Data, Engineering, sales, and commercial teams on prioritization, agile delivery, demos, RFPs, and customer follow-ups.
Requirements
- 6+ years of product management experience with personally shipped software products as the PM of record.
- Required experience developing software products for grocery retail or the consumer packaged goods industry.
- Demonstrated ability to take a product from concept to first release and first revenue in ambiguous, zero-to-one environments.
- Strong customer discovery, structured interviewing, product validation, and willingness-to-pay assessment skills.
- Technical fluency with data, APIs, and AI/LLM-based systems sufficient to scope work and evaluate build plans.
- Strong stakeholder management, documentation, facilitation, and written communication skills.
Nice to have
- Background or genuine interest in food, nutrition, or health data.
- Scientific literacy and experience working with complex data-driven products.
Culture & Benefits
- Remote work within the United States with a distributed team.
- Collaboration across Science, Data, Engineering, executive, and commercial functions.
- Early-stage startup environment focused on products shipped and customers won.
- Culture centered on transparency, creativity, collaboration, inclusion, and individual contribution.
- Mission focused on improving health and well-being through better food intelligence.
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