Cyderes
Technical Product Manager, AI Enablement
United States
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hirly's read of this role
- Role family
- Product management
- Seniority
- Lead / management
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 2 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
We Help the World Be Everyday Ready™
Today's threatscape is relentless. So are we. At Cyderes, we build practical Identity & Access Management (IAM) , Exposure Management , and risk programs, helping organizations stop active threats fast with Managed Detection & Response (MDR) that integrates with existing tools. Powering it all is Meridian , our entity fabric that connects identities, assets, and access into one trusted reality. Augmented by AI and driven by experienced operators, our tireless global team arms organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way.
🏆 Great Place to Work® Certified™
About the Role:
The Technical Product Manager, AI Enablement owns the agentic platform Cyderes uses to put AI to work inside our own teams. We run an agentic harness where agents and reusable skills do real product and delivery work, along with a growing set of internal AI tools built on top of it. This role is ideal for a hands-on product manager who builds with AI every day and wants to turn a fast-moving capability into a platform other teams trust and extend.
You will own the harness from roadmap through adoption, set the lifecycle for how agents and skills are built, evaluated, released, and retired, and decide which internal tools to build, buy, integrate, or stop. You will partner closely with Engineering, Security, UX, and product leadership, and you will measure success by real usage and operational improvement.
Who you are:
You are a builder first. You create working tools with AI-assisted development, you can read and change the code behind a platform, and you have strong opinions about how to evaluate an agent before it ships. You get close to the workflows you are improving, you push back on requests until the real problem is clear, and you care as much about safety, permissions, and cost as you do about speed.
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