Senior Product Manager
Nutné:AISecurity
What you'll do
- Own product definition for parts of Cye's agentic platform, including Cye AI, our MCP server, and agent workflows that act in customers' native tools.
- Design closed-loop experiences: recommendation → ticket → remediation → verification. Define what "done" means when an agent is the user.
- Treat agents as first-class customers. Define the contracts, permissions, guardrails, and trust model that let third-party agents rely on CYE's decisions.
- Run discovery with CISOs, security engineers, and design partners. Turn ambiguous agentic use cases into testable experiments and shippable increments.
- Define success metrics that go beyond usage, such as decisions accepted, actions executed, and fixes verified. Tie them to revenue and retention.
- Work closely with engineering, data science, design, GTM, and integration partners to take features from idea to adoption.
What you bring
- 5+ years of B2B SaaS product management, with products you shipped and can measure.
- Hands-on experience shipping LLM or agent-based features to production, including prompt design, evaluation, failure modes, and cost/latency trade-offs.
- Fluency with APIs and integrations. You've designed products that other systems consume, not just screens humans click.
- Strong product judgment in ambiguity. You can kill an idea with data as fast as you can champion one.
- Comfort facing customers. You can explain to a CISO why an agent should be trusted to act.
- You use AI tools daily in your own work and have opinions about where they break.
Big advantages
- Experience in cybersecurity, risk quantification, or exposure management.
- Hands-on with MCP, agent frameworks, or workflow automation platforms (ServiceNow, Jira, iPaaS).
- Background in data products or analytics.
- Degree in computer science or engineering.
Why Cye?
- You'll help define the category, not follow a playbook that already exists.
- Agentic is a company-level priority with leadership backing, not a side project.
- We have real customer data, real enterprise customers, and a platform agents can act on today.