Technical Product Manager, AI Enablement
New
C
CyderesCybersecurity
United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in technical product management, platform product management, developer tools, internal products, or a closely related role.
- Required Skills
- RESTful APIs
Requirements
- Have 5+ years of experience in technical product management, platform product management, developer tools, internal products, or a closely related role.
- Build working tools with AI-assisted development and be able to read, debug, and change production code.
- Have hands-on experience with LLM tool calling, model context protocols (MCP), agent orchestration, and evaluating agents or prompts.
- Have run an internal or platform capability that other teams depend on, with demonstrable adoption and impact.
- Have technical fluency with APIs, identity and permissions, events, logs, and cloud architectures.
- Have experience managing cost, latency, and quality for LLM workloads.
- Use sound judgment about privacy, permissions, auditability, and responsible automation with sensitive data.
- Bring excellent written communication across business, operations, security, and engineering audiences.
- Experience in cybersecurity, managed services, or another operationally accountable environment is a strong plus.
Responsibilities
- Own the vision, roadmap, reliability, documentation, and adoption of the agentic harness.
- Define and run the lifecycle for agents and reusable skills, including building, evaluating, versioning, releasing, observing, and retiring them.
- Build and maintain evaluations for agents and skills to identify performance, regressions, and release safety.
- Write, review, and change code in the harness and its tools, and build prototypes with AI-assisted development.
- Partner with Engineering on APIs, model context protocols, tool access, identity and permissions, data flows, observability, and failure handling.
- Own the internal AI tools portfolio and make build, buy, integrate, automate, or stop decisions.
- Conduct workflow discovery with internal users, map processes and failure modes, and quantify friction costs.
- Work with product leadership on internal skills and agent capabilities that may become customer-facing, including skills delivered through MCP services.
- Partner with UX to ensure 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.
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