Product Lead, Predictive Platform

Your Impact

As Product Lead, Predictive Platform, you will:

• Lead and Scale a Specialized Pod. Act as a formal people manager for a pod of Product Managers focused on specialized modeling and intelligence initiatives. You will be responsible for their growth, performance, and alignment with the broader intelligence strategy.
• Own the Core Predictive Foundation. Personally drive the strategy for our core models. You will define the roadmap for how these models are consumed by downstream applications across the entire 6sense ecosystem.
• Drive Cross-Model Initiatives. Establish the global standards and methodologies for ongoing model training, feedback loops, and accuracy measurement to ensure our predictions remain the industry benchmark.
• Maximize Model Leverage. Enforce a "build once, use everywhere" philosophy, ensuring that platform engines provide maximum value to all surface apps and specialized use cases.
• Be a Strategic Partner to Leadership. Partner directly with the Head of Intelligence Product to align the predictive roadmap with company strategy, surfacing model risks early and identifying opportunities for portfolio tradeoffs.

Strategic Themes You'll Drive

• Customer Trust and Reliability. Drive the strategy for building high-integrity intelligence that is trusted by enterprise leaders and adapts to a wide range of global business requirements.
• Leveraged Engine Strategy. Move toward an operating model where core predictive engines are seamlessly consumed by all App teams, reducing duplication and accelerating time-to-market.
• Data-to-Model Integrity. Ensure the connective tissue between our data foundation and our predictive layer is robust and high performing.

What You'll Bring

• People Leadership. Proven experience building and leading product teams. You know how to coach PMs through complex roadmaps and create a culture of high accountability.
• Predictive Product Mastery. Deep expertise in predictive modeling, machine learning lifecycles, and data science collaboration from a product perspective. You have a track record of shipping complex ML-driven products at scale.
• Operating Rigor. You build operating rhythms that turn messy data and model dependencies into clean execution. You focus on the methodologies that ensure long-term product performance.
• B2B Mindset. Strong understanding of B2B data models and how predictive scoring drives GTM outcomes.
• Experience. 8-10+ years in Product Management, with a focus on AI, ML, or Data Science products, including 3-5+ years of formal people management experience.

Compensation & Benefits

Base Salary Range: $188,997.50 - $255,863.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO).

Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.