Senior AI Product Manager, LLM-Powered B2B SaaS

Stanford Climate Ventures

New York, Northern (NY, KY)

Hybrid

USD 175,000 - 190,000

Full time

14 days+
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Job summary

Stanford Climate Ventures seeks a Senior/Lead Product Manager to drive AI-powered features across workstreams, starting with an MCP integration and a customer workflow builder. You will translate real-world decarbonization challenges into scalable, measurable solutions.

You will collaborate across customer success, sales, and partnerships, building a shared AI infrastructure and using data to guide decisions, including KPIs like model quality and latency.

Qualifications

  • 5+ years of product management experience, ideally in B2B SaaS.
  • 2-3 years shipping LLM-powered features to customers.
  • Strong leadership to influence cross-functional teams.
  • Excellent communication and presentation skills.
  • Data-driven decision making with KPIs and metrics.
  • Team player with collaborative working style.

Responsibilities

  • Translate decarbonization/building management challenges into scalable solutions delivering measurable value.
  • Prioritize ruthlessly to balance long-term growth with near-term impact.
  • Collaborate across customer success, sales, and partnerships for roadmap alignment.
  • Build shared AI infrastructure to enable other teams to ship features.
  • Engage with customers to inform product design and ensure a delightful user experience.
  • Leverage data analytics to inform decisions and monitor KPIs (model quality, evals, latency, cost).
  • Partner with GTM teams to develop and execute go-to-market strategies.

Skills

Product management
LLM-powered features
Leadership
Communication
Analytical skills
Team collaboration
Customer focus

Job description

Stanford Climate Ventures seeks a Senior/Lead Product Manager to drive AI-powered features across workstreams, starting with an MCP integration and a customer workflow builder. You will translate real-world decarbonization challenges into scalable, measurable solutions.

You will collaborate across customer success, sales, and partnerships, building a shared AI infrastructure and using data to guide decisions, including KPIs like model quality and latency.

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