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Product Engineer (Security) - AI Control Plane

Speakeasy

San Francisco, CA · Posted May 28, 2026

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This listing does not state pay. Across 32 open product engineer listings that state pay, the middle half runs $175,000 to $253,000 and the median is $205,000.

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How AI is used in this kind of work

AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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Speakeasy provides the AI control plane for enterprises.

We help companies securely scale usage of AI with a platform to centrally manage MCPs, Skills, and Assistants your whole company can use, with fine-grained permissions, threat detection, and full observability.

We are a fast growing venture backed team based out of San Francisco and London. We have a track record of building developer tools and infrastructure widely used from Fortune 500 to well known startups.

Working at Speakeasy as an engineer means being a product owner, collaborating closely with GTM and owning product decisions from inception to customer success. We care deeply about craft, quality and execution.

About the AI control plane

Our platform enables enterprises and fast-moving startups to get the most out of Claude, Codex, Cursor and other providers by

- Leveraging enterprise identity systems to secure access to MCP servers

- Securing agent sessions to ensure sensitive data and enterprise policies are respected.

- Providing easy to use primitives to build new mcps, skills and assistants (secure claw)

- Deeply understand AI usage within an organisation from tool use, token spend, and complete agent sessions.

About the Role

This is a unique, high-impact opportunity to join a passionate team about an intuitive craft to enable solving green field and hard product problems. You’ll be working on an early product with a fast moving team that’s done this before and collaborating with founders (and customers) directly on a daily basis.

You will collaborate closely with the rest of the product and engineering team to

- Design and ship features that enforce enterprise security policies around MCP usage and access.

- Improve and fine tune our risk policy system. This includes both deterministic and prompt based policies using LLM-as-a-judge techniques.

- Deepen our integrations with identity providers and stay up to date on the latest developments in agent identity.

- Collaborate on hardening our own security posture.

You’re a good fit if...

- You want to join a talent-dense team made up of ex-founders and domain experts across various developer tools, languages, and infrastructure (in fact over a quarter of the team https://x.com/benln/status/1990086675096064379?s=20).

- Ownership excites you in the full lifecycle of development: building, shipping, running support, maintaining infrastructure and measuring impact.

- You have shipped features on products used by security teams

- You have an exceptional ability to learn, pickup new frameworks, and can work across the stack from backend to frontend.

- Ability to participate in on-call rotation and respond to production incidents.

- Ability to work in person in our San Francisco Office