Product Manager – Internal AI Platform

Posted 1 day ago
$180K - $225K / year

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Job Description

Senior Product Manager, AI Platform | Confidential Employer

The Tone:
This is a full-time role at Moloco, located in Menlo Park, CA. Moloco builds powerful AI advertising solutions, focused on democratizing access to advanced AI that has traditionally been reserved for large tech companies. This role is pivotal in rebuilding how the company operates around AI, owning the internal platform that serves as a shared foundation for all Moloco teams, from engineers to non-technical managers.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, Menlo Park, CA
• Pay: $180000–$225000 yearly
• Team: Business Technology Product & Engineering team
• Mission: Own the product for the shared AI platform that enables all Molocans to build and operate using artificial intelligence.
• Tech Stack: modern GenAI stack: MCPs, agents, knowledge systems, evaluation

What You’ll Actually Do
• Product Ownership: Define and lead the product strategy for Moloco’s core internal AI platform.
• Data and Model Access: Establish governed access to AI models, internal data, and company knowledge through a common platform.
• Building Block Provision: Provide essential building blocks for teams to create AI products, including agents, tool interfaces, and reusable skills.
• Platform Operations: Oversee secure hosting, observation, and control of AI solutions with built-in permissions, spend controls, and safety guardrails.
• Cross-functional Partnership: Partner with Engineering, Infrastructure, IT, and Go to Market teams to deliver a unified platform roadmap.

The Must-Haves
• Background: Senior-level professional with 7+ years of experience, including 5+ years in Product Management, specifically owning developer platforms or internal tooling.
• Experience: Proven track record owning a developer platform, infrastructure product, or internal tooling end-to-end, with a clear understanding of user adoption dynamics.
• Skills: Hands-on fluency with the modern GenAI stack (MCPs, agents, knowledge systems, evaluation); strong analytical instincts for instrumenting and assessing adoption; ability to serve non-technical builders without compromising engineering rigor; comfortable operating in highly collaborative and globally distributed teams.
• Bonus: Experience building internal platforms in a high-growth B2B company; background in ad tech or performance marketing.

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