Technical Product Manager, AI Enablement

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.

Own the vision, roadmap, reliability, documentation, and adoption of Cyderes’ agentic harness for AI-delivered product and delivery work. Define and run the lifecycle for agents and reusable skills: build, evaluate, version, release, observe, and retire, with cost and latency controls and human approval where it matters. Build and maintain evaluations for agents and skills so teams know what works, what regressed, and what is safe to release. Write, review, and change code in the harness and its tools, and build working prototypes with AI-assisted development when they reduce uncertainty. Partner with Engineering at a technical level on APIs, model context protocols, tool access, identity and permissions, data flows, observability, and failure handling. Own the internal AI tools portfolio, with a transparent intake and prioritization model and clear build, buy, integrate, automate, or stop decisions. Conduct workflow discovery with internal users, map current processes and failure modes, and quantify the cost of friction to shape priorities. Work with product leadership where internal skills and agent capabilities become customer-facing, including skills delivered through our MCP services. Partner with UX so the harness produces work that follows Cyderes’ design system and standards. Define product and operational metrics, plan rollouts, enable users, and retire or consolidate tools that do not create enough value. Improve product management operations through better evidence capture, decision records, portfolio visibility, and reusable templates.

5+ years of experience in technical product management, platform product management, developer tools, internal products, or a closely related role. Hands-on building experience: you create working tools with AI-assisted development and can read, debug, and change production code. Hands-on experience with LLM tool calling, model context protocols (MCP), agent orchestration, and evaluating agents or prompts. A record of running an internal or platform capability that other teams depend on, with adoption and impact you can show. Technical fluency with APIs, identity and permissions, events, logs, and cloud architectures. Experience managing cost, latency, and quality for LLM workloads. Sound judgment about privacy, permissions, auditability, and responsible automation in environments with sensitive data. Experience in cybersecurity, managed services, or another operationally accountable environment is a strong plus. Excellent written communication across business, operations, security, and engineering audiences.

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