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Senior Product Manager, Intelligence
DataGrailSenior Product Manager overseeing Intelligence Suite at DataGrail, focusing on data privacy automation and integrating AI capabilities for enterprise applications.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for enterprise B2B SaaS, with a focus on data-heavy products and AI tool integration. Proven ability to lead cross-functional teams, conduct customer discovery, and define success metrics based on data insights.
Highest-signal resume keywords
Product Management ExperienceData-Heavy Product OwnershipCustomer Discovery ExpertiseAI Tool FluencyCross-Functional Leadership
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 StrategyRoadmap DevelopmentSuccess Metrics DefinitionPrototypingData Analysis
Soft Skills
Clear CommunicationProblem SimplificationPrioritizationStakeholder Engagement
Tools & Technologies
AI ToolsML Integration
Industry Keywords
Enterprise B2B SaaSCustomer NeedsTechnical FeasibilityCross-Functional Execution
About the role
Key responsibilities & impact- Own the full product strategy and roadmap for Live Data Map, Assessments, and Risk Management
- Make prioritization calls that balance customer needs, business goals, and technical feasibility
- Drive deep integration of Vera AI capabilities across the intelligence suite
- Run ongoing customer discovery with privacy, legal, and security stakeholders at mid-market and enterprise companies
- Lead cross-functional execution with engineering, design, and ML from problem definition through launch
- Partner with PMM and CS on positioning, enablement, and adoption
- Define success metrics and iterate based on what the data shows
- Build working prototypes using AI tools to make ideas tangible before handing off to engineering
Requirements
What you’ll need- 5+ years of product management experience in enterprise B2B SaaS
- Track record of owning complex, data-heavy products end-to-end
- Strong instincts for simplifying hard problems without losing depth
- Comfortable working directly with engineers and ML practitioners
- Experience doing real customer discovery — not just gathering requirements
- Clear communicator who can write a crisp brief, run a tight prioritization session, and present tradeoffs to leadership without hand-holding
- Fluency with AI tools and a default toward using them to move faster.
Benefits
Comp & perks- equity
- health, dental & vision insurance plans
- remote-first working environment
- 401k savings plan
- parental leave
- wellness benefits
- flexible time off
- paid holidays
- work from home stipend