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# Principal Product Manager, AI Platform

- **Company:** Wintermeyer Ventures
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $250,000 - $320,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Information Engineering, Azure Machine Learning, Software Engineering, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Model Validation, Agentic-AI, AI Platforms
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/858c7f1f-89e6-4ea2-8377-c28ebc5fd886/principal-product-manager-ai-platform

## About the Role

* 8 to 15 years of product management experience, including recent Staff or Principal-level ownership at a Series A to Series D startup.
 * Experience taking a product from concept to launch and owning a multi-component platform used by multiple product teams.
 * Background in AI, fintech, or enterprise platforms, with experience in AI/ML platform capabilities such as LLM orchestration, RAG, agents, fine-tuning, and model evaluation.
 * Experience governing APIs, versioning, deprecation, and migration across platform consumers.
 * Hands-on experience building AI agents, scripts, or workflows beyond prompting, with a background in software engineering, data engineering, or a related technical discipline.
 * A bachelor's degree and a track record of sustained product ownership.

## Description

Own the agentic AI platform that supports products across a fintech business serving banks and credit unions. This hands-on, zero-to-one role will set platform direction while working closely with engineering and guiding a team of product managers.

What You'll Do

 * Set platform priorities and direction in close partnership with engineering leadership and product peers.
 * Balance requests across voice, chat, contact center, collections, and fraud products to determine what to ship first.
 * Assess the platform to identify capabilities to consolidate, build, or sunset across product lines.
 * Own platform contracts, including APIs, versioning, deprecation, and migration strategies for consuming teams.
 * Stay hands-on by partnering with engineers on outcomes and building with AI tools and workflows.