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6sense is seeking a Senior Product Manager to own the Specialized Modeling & Verticals portfolio. This role focuses on building intelligence layers that translate core predictive signals into high-value, verticalized solutions for B2B marketing and revenue teams.
You will work closely with the PM Lead and cross-functional stakeholders to develop specialized models that address domain-specific challenges in the B2B revenue lifecycle. Your responsibilities include:
• Drive the roadmap for specialized modeling initiatives, ensuring core signals are translated into business outcomes relevant to specific verticals and use cases.
• Partner with business stakeholders, customers, and data science teams to build use-case-specific models that remain accurate and relevant across diverse enterprise scenarios.
• Own the "Applied Intelligence" roadmap, consuming core predictive engines and transforming them into specialized features that solve complex, domain-specific challenges for large enterprises.
• Maximize model utility by designing solutions that address broad classes of problems rather than one-off custom requests, ensuring scalability and leverage.
• Act as the bridge between specialized business workflows (Sales Ops, Demand Gen) and data science teams, translating complex business problems into clean modeling requirements.
• Establish performance metrics that measure not just model accuracy but real-world revenue impact and effectiveness of specialized signals.
• Drive strategic themes including Applied Precision (accurate application of core intelligence to complex B2B data models), Use-Case Focused Intelligence (optimization for specific B2B marketing scenarios), and The Last Mile of Prediction (converting raw predictive scores into high-confidence user recommendations).
6sense's platform uses Revenue AI™ to identify accounts ready to buy, craft targeted messages, and qualify meetings automatically. The company helps revenue teams uncover hidden buying signals, orchestrate multi-channel engagement, and integrate insights across the entire GTM tech stack.
REQUIREMENTS:
• Applied ML expertise: experience managing ML products and comfort discussing model inputs, logic, and validation with data scientists.
• B2B domain knowledge: understanding of the B2B revenue lifecycle including leads, accounts, opportunities, and associated complex challenges.
• (Additional requirements appear to be in an omitted section of the posting.)
