Overview
Lead the roadmap for specialized modeling and vertical intelligence layers that turn 6sense's core predictive engines into use-case-specific B2B marketing and revenue outcomes.
What you'll do
- Lead the roadmap for intelligence layers that address verticalized tasks and specific B2B marketing needs, ensuring core signals are translated into high-value specialized business outcomes.
- Partner with business stakeholders, customers, and data science teams to build specialized models fed by core engines, keeping intelligence relevant and accurate across diverse business scenarios.
- Work with the Predictive Lead to consume core engines and turn them into specialized features that solve complex, domain-specific challenges for large enterprises.
- Ensure specialized models are built with a leveraged mindset, solving a broad class of problems rather than one-off custom requests.
- Act as the bridge between specialized business workflows (such as Sales Ops or Demand Gen) and data science teams, translating complex business problems into clean modeling requirements.
- Establish performance metrics that go beyond model accuracy to measure how effectively specialized signals drive real-world revenue outcomes.
What you'll need
- Experience managing ML products and comfort discussing model inputs, logic, and validation with data scientists.
- Understanding of the B2B revenue lifecycle, including leads, accounts, opportunities, and the challenges that come with them.
- Proven ability to work with other PMs and leverage foundational platforms to build specialized value.
- Excellence at turning a high-level capability into a specific, shipped feature that solves a concrete user pain point.
- 4-6+ years in Product Management, with a focus on Data Products, AI/ML, or B2B SaaS applications.
Details
- Full-time employee benefits include health coverage, paid parental leave, paid time off and holidays, quarterly self-care days off, and stock options.
- Equipment and support are provided to work at home or in one of the offices.
Read the full description and apply on the company’s own careers page.