Senior Product Manager, Specialized Modeling – Verticals

6sense

Senior Product Manager for specialized modeling at 6sense, driving AI-based solutions for B2B marketing challenges. Collaborating with teams to enhance predictive intelligence and deliver market-specific models.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $144,506 - $211,942 per yearWebsite

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Hard Skills

Applied MLData ProductsAI/MLB2B SaaSModel ValidationPerformance MetricsModel UtilityDomain-Specific RequirementsUse-Case Specific ModelsPredictive Modeling

Soft Skills

Strategic PartneringExecution RigorCollaborationStakeholder ManagementLeadershipCommunicationProblem SolvingInterpersonal SkillsOrganizational SkillsAdaptability

Industry Keywords

B2B Revenue LifecycleBusiness WorkflowsData ScienceModel InputsUser Pain PointsRoadmap DevelopmentIntelligence LayersVerticalized TasksPerformance MeasurementStakeholder Engagement

About the role

Key responsibilities & impact

Drive Specialized Modeling Initiatives by leading the roadmap for intelligence layers addressing verticalized tasks
Develop Use-Case Specific Models by partnering with stakeholders for specialized models
Own the 'Applied Intelligence' Roadmap, working with the Predictive Lead
Maximize Model Utility by ensuring models are leveraged to solve broad problems
Define Domain-Specific Requirements to act as a bridge between business workflows and data science teams
Measure Impact in Context with performance metrics focused on real-world revenue

Requirements

What you’ll need

4-6+ years in Product Management, with a focus on Data Products, AI/ML, or B2B SaaS applications
Applied ML Expertise: experience managing ML products and discussing model inputs, logic, and validation
B2B Domain Knowledge: understanding the B2B revenue lifecycle—leads, accounts, opportunities
Strategic Partnering: proven ability to work with other PMs
Execution Rigor: ability to turn high-level capability into specific features that solve user pain points
Strong collaboration skills with business stakeholders and data science teams

Benefits

Comp & perks

Generous health insurance coverage
Life and disability insurance
401K employer matching program
Paid holidays
Self-care days
Paid time off (PTO)
Paid parental leave
Stock options
Equipment support for remote/hybrid work
Wellness programs, including quarterly wellness education sessions