Product Engineer (Security) - AI Control Plane

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
Mid level
Software
The Role
Build and ship security features for an AI control plane: enforce enterprise policies, improve risk policy systems (deterministic and LLM-judged), integrate identity providers, and harden platform security. Collaborate across product and engineering, participate in on-call rotations, and own features from design through production and support.
Summary Generated by Built In

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).

  • 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

Skills Required

  • Shipped features on products used by security teams
  • Experience across the full stack (backend and frontend)
  • Enforce enterprise security policies around AI usage and access
  • Integrations with identity providers (enterprise identity systems)
  • Experience with LLMs and prompt-based policy techniques (LLM-as-a-judge)
  • Participate in on-call rotation and respond to production incidents
  • Ownership of full development lifecycle: build, ship, run support, maintain infrastructure, measure impact
  • Ability to work in person in San Francisco office
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Pleasanton, CA
9 Employees
Year Founded: 2022

What We Do

Offering a self-serve API experience is far too difficult today. Developers and PMs spend way too much time manually troubleshooting integration issues, building custom tools and maintaining client SDKs. The API consumer experience is filled with repetitive boilerplate and a poor developer experience. API usage is far below where it could be and API builders are always fighting tactical fires instead of building strategic differentiators. Speakeasy is a developer-first API Ops platform that enables developers to offer best-in-class API DevEx to API consumers. Speakeasy users get access to a set of internal and customer facing embeds for request logs, customer usage, key rotation and batteries included client SDKs. These can be embedded in your own dev portals to enable self-service troubleshooting. Developers building APIs get to spend less time on customer support and building dev portals. And API consumers enjoy easier, faster integrations with less boilerplate. Interested? Join our waitlist now and we’ll reach out straight away.

Similar Jobs

Speakeasy Logo Speakeasy

Product Engineer

Enterprise Web • Information Technology • Software
In-Office
San Francisco, CA, USA
4 Employees

General Motors Logo General Motors

People Analytics Analyst

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
5 Locations
165000 Employees
98K-150K Annually

General Motors Logo General Motors

Senior/Incident Response Specialist - AV Development (GPSSC)

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Hybrid
2 Locations
165000 Employees
80K-141K Annually

General Motors Logo General Motors

Senior Machine Learning Engineer

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Hybrid
Sunnyvale, CA, USA
165000 Employees
155K-396K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account