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Product Manager
Tech Holding. Own the product roadmap for assigned areas of the AI-powered risk intelligence platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI-powered solutions, with a focus on B2B SaaS products. Proficient in writing product specifications, user stories, and acceptance criteria while leveraging data analytics for informed decision-making.
Highest-signal resume keywords
Product Management ExperienceAI and ML Feature DevelopmentAgile MethodologySpec-Writing SkillsCustomer Discovery
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 Roadmap OwnershipUser Story DevelopmentAcceptance Criteria DefinitionData-Driven Decision MakingFeature Success Metrics
Soft Skills
Excellent CommunicationStakeholder Presentation
Tools & Technologies
JiraLinearAmplitudeMixpanelFigma
Industry Keywords
B2B SaaSRisk ManagementCybersecurityThreat IntelligenceData-Heavy Workflows
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Own the product roadmap for assigned areas of the AI-powered risk intelligence platform
- Write detailed product specifications, user stories, and acceptance criteria for engineers and AI coding agents
- Work with ML and engineering teams to define, ship, and improve AI and LLM-powered features and their evaluation methods
- Run customer discovery with enterprise users to understand workflows and pain points
- Prioritize the backlog and run sprint planning, grooming, and release coordination
- Define feature success metrics and use product data and customer feedback to guide changes
- Partner with design to deliver intuitive experiences for complex, data-heavy workflows
- Communicate roadmap, progress, and trade-offs to client leadership and stakeholders
Requirements
What you’ll need- 5+ years of product management experience, mainly on B2B SaaS products
- Experience shipping AI, ML, or data-driven product features, including defining success for probabilistic or model-driven outputs
- Strong spec-writing skills: clear PRDs, user stories, and acceptance criteria
- Experience working directly with engineering teams in an Agile environment
- Experience running customer discovery and turning insights into prioritized requirements
- Data-informed decision making using product analytics, metrics, and experimentation
- Excellent written and verbal communication, with comfort presenting to senior stakeholders
- Applicants must be authorized to work for any employer in the U.S.
- Employment visa sponsorship is unavailable
- Nice to have: experience in threat intelligence, cybersecurity, trust and safety, risk management, or media monitoring
- Nice to have: experience selling or building for enterprise buyers such as CISOs, CSOs, or communications leaders
- Nice to have: hands-on familiarity with LLM tools and AI-assisted or spec-driven development workflows
- Nice to have: experience with data-heavy dashboards, alerting, or analytics products
- Nice to have: familiarity with Jira, Linear, Amplitude, Mixpanel, or Figma
Benefits
Comp & perks- Equal Opportunity Employer committed to fostering a diverse and inclusive workplace
- Application process accommodations available
- Remote work arrangement