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Senior AI Product Manager
On-siteFull-timeProduct ManagementEnterprise SoftwareData Infrastructure
Lead core areas of a B2B AI platform, turning validated customer capabilities into scalable products. Partner directly with customers, R&D, design, sales, marketing, and customer success in a hands-on startup environment.
Responsibilities
- Own product strategy, discovery, execution, and measurement for core platform areas.
- Define success metrics and remain accountable after launch.
- Productize capabilities validated with individual customers and scale them across the customer base.
- Lead customer and prospect discovery conversations and develop evidence-based product opportunities.
- Prototype product concepts using coding agents and AI tools.
- Define quality standards and build evaluations for agent reliability, cost, and trust.
- Partner with R&D on accuracy, latency, cost, and build-versus-buy decisions.
- Collaborate with design, sales, marketing, and customer success to package, position, launch, and improve products.
- Use adoption data to inform the product roadmap.
Requirements
- At least 4 years of product experience, ideally combined with engineering, data, or analytics experience.
- Practical experience with agentic systems, including tool and context design, retrieval, orchestration, guardrails, failure modes, and evaluations.
- Ability to query and analyze data independently using SQL and Python or equivalent tools.
- Experience taking ideas from concept through prototype to product using coding agents and AI tooling.
- Strong UX judgment for complex data products and ability to create credible design proposals.
- Experience leading customer discovery and collaborating with sales and marketing.
- Startup experience and the ability to resolve ambiguity and make explicit trade-offs.
- Strong communication skills, including the ability to explain complex topics to customers and executives.
Nice to have
- Experience with data-intensive, API, or infrastructure-adjacent products.
- Data acquisition experience, including sourcing, licensing, partnerships, quality, and legal considerations.
- Enterprise B2B experience with large CPG, retail, or foodservice organizations.
- Knowledge of the food and beverage, CPG, or retail sectors.