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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in B2B SaaS product management, focusing on agentic platforms and AI-driven features. Proficient in defining success metrics, collaborating across teams, and engaging with customers to ensure product trust and effectiveness.
Highest-signal resume keywords
B2B SaaS Product ManagementLLM Feature ShippingAPI Design and IntegrationCybersecurity ExperienceWorkflow Automation Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product DefinitionSuccess Metrics DefinitionPrompt DesignEvaluation of FeaturesFailure Modes AnalysisCost/Loss Trade-offsData ProductsAnalytics
Soft Skills
Strong Product JudgmentCustomer EngagementCommunication with CISOs
Tools & Technologies
Cye AIMCP ServerServiceNowJiraIPaaS
Industry Keywords
CybersecurityRisk QuantificationExposure ManagementAgent Frameworks
Tech Stack
Tools & technologiesCyber SecurityServiceNow
About the role
Key responsibilities & impact- Own product definition for parts of Cye's agentic platform, including Cye AI, the MCP server, and agent workflows in customers' native tools
- Design closed-loop experiences from recommendation through ticketing, remediation, and verification
- Define completion criteria when an agent is the user
- Define contracts, permissions, guardrails, and trust models for third-party agents using CYE's decisions
- Conduct discovery with CISOs, security engineers, and design partners
- Turn ambiguous agentic use cases into testable experiments and shippable increments
- Define success metrics including decisions accepted, actions executed, and fixes verified, connecting them to revenue and retention
- Collaborate with engineering, data science, design, GTM, and integration partners to move features from idea to adoption
Requirements
What you’ll need- 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; experience designing products that other systems consume
- Strong product judgment in ambiguity
- Comfort facing customers and explaining to a CISO why an agent should be trusted to act
- Daily use of AI tools and opinions about where they break
- Experience in cybersecurity, risk quantification, or exposure management is advantageous
- Hands-on experience with MCP, agent frameworks, or workflow automation platforms such as ServiceNow, Jira, or iPaaS is advantageous
- Background in data products or analytics is advantageous
