Product Engineer (Security) - AI Control Plane
Speakeasy · San Francisco, CA · 1 mo ago
On-siteEngineeringFull-time
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.
Responsibilities
- Design and ship features that enforce enterprise security policies around MCP usage and access.
- Improve and fine-tune our risk policy system, including 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.
Requirements
- 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, pick up new frameworks, and can work across the stack from backend to frontend.
- You have the ability to participate in on-call rotation and respond to production incidents.
- You are able to work in person in our San Francisco Office.
Qualifications
- Experience with enterprise identity systems and securing access to MCP servers.
- Understanding of AI usage within an organization, including tool use, token spend, and complete agent sessions.
- Exceptional problem-solving skills and a passion for crafting intuitive solutions.
Skills
- Strong understanding of enterprise security policies and their implementation.
- Experience with LLM-as-a-judge techniques for policy enforcement.
- Ability to work effectively in a fast-paced, collaborative environment.
Benefits
- Opportunity to work with a talented and diverse team of ex-founders and domain experts.
- Flexible work arrangements to accommodate personal and professional life.
- Competitive compensation package including equity options.
- Access to cutting-edge technology and tools in the AI space.
- Regular opportunities for professional development and learning.
Pay
Commensurate with experience and qualifications.
Schedule
Full-time, remote option available.
Benefits
- Health insurance coverage.
- Retirement savings plan.
- Flexible vacation and sick leave.
- Professional development opportunities.
Contact
To apply, please visit our careers page and submit your resume and cover letter.