Technical Product Manager, AI Enablement

Cyderes

1d•Hybrid

About The Position

The Technical Product Manager, AI Enablement owns the agentic platform Cyderes uses to put AI to work inside its own teams. This involves managing an agentic harness where agents and reusable skills perform product and delivery tasks, alongside a growing suite of internal AI tools. The role is suited for a hands-on product manager experienced in building with AI daily, aiming to transform a rapidly evolving capability into a trusted and extensible platform for other teams. The individual will be responsible for the harness from roadmap to adoption, defining the lifecycle for agent and skill development, evaluation, release, and retirement, and making decisions on building, buying, integrating, or discontinuing internal AI tools. Collaboration with Engineering, Security, UX, and product leadership is key, with success measured by actual usage and operational improvements.

Requirements

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.

Responsibilities

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.