Product Manager, AI Builder

Position: Staff Product Manager, AI Builder Experience
The Role
AI Builder Experience (ABX) is the company's front door for the agentic era. We help human developers and coding agents discover, evaluate, and choose the company, and we make the company work naturally inside the AI-native tools, frameworks, and platforms where software is being built.

We are looking for an outstanding Staff Product Manager to own the Partner Platform: the products, experiences, and operating model that allow ecosystem partners to build trusted, high-quality the company experiences for their users. This includes the Partner API and the broader path toward self-serve integrations, partner onboarding, enterprise controls, marketplace/discovery, and partner-managed experiences.

This is a role at the intersection of humans, machines, and partners. Human builders increasingly work through AI agents; AI agents need reliable interfaces, context, permissions, and tools; and partners determine where those experiences are discovered and adopted. You will make those three parts work together so the company becomes the obvious database choice wherever AI-native software is created.

The role is highly cross-functional and highly visible. You will work with engineering, design, IAM, billing, security, documentation, analytics, product marketing, partnerships, field teams, and strategic customers and partners. You will be expected to operate as both a strategic product leader and a hands-on builder who can turn an ambiguous ecosystem opportunity into a clear product vision, strategy, and an executable roadmap.

What You'll Do
Own the vision, strategy, and roadmap for the the company Partner Platform, starting with the Partner API and evolving toward a scalable, self-serve industry leading partner experience

Turn partner and customer needs into clear product bets, sequencing near-term delivery against a compelling long-term platform strategy

Build the next phases of the Partner API, including self-serve onboarding, enterprise and administrator controls, partner-managed account creation and billing, partner discovery, and a high-quality integration bar

Establish a repeatable operating model for partner intake, design-partner engagement, integration support, launch readiness, documentation, incident response, and post-launch learning

Partner deeply with the Partner team, IAM, Billing, Security, Engineering, Design, Docs, Analytics, Product Marketing, Sales, and Technical Services to align all towards the cross-functional outcomes required

Work directly with strategic AI-native partners, cloud platforms, and similar to understand their users, business models, technical constraints, and adoption levers

Ensure the platform works for both human and agentic developers: APIs and tools must be understandable to people, usable by agents, observable, secure, and resilient under automation

Define the metrics that show whether the platform is creating value, e.g. partner activation, time to first successful integration, integration quality, end-user adoption, successful agentic workflows, cluster growth, and partner-influenced revenue

Create clear product narratives and communicate strategy to executives, engineering teams, partners, customers, and field stakeholders

Represent ABX and the company externally as a credible voice on AI-native product development, developer ecosystems, and partner platforms

What We're Looking For
8+ years of product management or equivalent experience, including ownership of complex technical products, platforms, APIs, developer tools, ecosystems, or partner integrations

Demonstrated success taking a product or platform from ambiguous opportunity through launch, adoption, and continued evolution

Deep technical fluency: you can reason about APIs, authentication and authorization, distributed systems, platform boundaries, integrations, data flows, reliability, and security trade-offs

Experience building products for developers, technical users, AI-native workflows, or platform ecosystems. Direct experience with AI agents, MCP, agent frameworks, agentic coding tools, or agentic developer platforms is strongly preferred

A clear point of view on the difference between building for human developers and building for AI agents, including implications for APIs, documentation, tooling, evaluation, observability, and quality

Strong partner and customer instincts, with experience translating external needs into a product strategy without becoming a collection of one-off feature requests

Ability to navigate complex and…