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Product Lead, Predictive Platform

AI Summary
This senior Product Lead role owns the predictive platform that powers 6sense's intelligence products and B2B buyer-intent capabilities. The position combines hands-on product strategy for machine-learning models with formal people management of a specialized Product Management pod. Key priorities include predictive-model roadmaps, model training standards, feedback loops, accuracy measurement, and reusable platform capabilities across applications. The successful candidate will partner with intelligence leadership and data science teams to improve model reliability, scale, and customer trust. It requires extensive experience delivering ML-driven products and leading product managers in a high-accountability environment.
Remote from
USA
Salary
USD 188,998–255,863 / yr
Employment
Full Time
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
27
Application actions
1
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Opportunity details

About this role.

Our Mission:

6sense‘s mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.

Product Lead, Predictive Platform

Are you a strategic thinker with a deep background in predictive modeling and a passion for leading teams? At 6sense, our differentiation is built on our ability to accurately predict intent and buyer behavior. We are looking for a Product Lead to own our Predictive Platform—the foundational engine that powers our entire intelligence layer and defines how the world’s leading B2B brands identify their next customers.

This is a Player/Coach role. You will be the primary driver of our core predictive foundation and cross-model initiatives while simultaneously serving as the people manager and program leader for a specialized pod of Product Managers. You will oversee the roadmap for how we train, measure, and scale the models that power everything from Fit and Intent to Engagement and Triage.

Why 6sense?

  • AI That Builds Pipe, Not Hype: Our Revenue AI™ identifies accounts ready to buy, crafts the right message, and qualifies meetings automatically. We don’t just surface data—we deliver intelligence and action.
  • Crack the Dark Funnel™: Less than 3% of buyers engage early. We uncover hidden buying signals, decode the “breadcrumb trails,” and help revenue teams connect with buyers in ways they never could before.
  • Orchestrate the Full Journey: From dynamic audience creation to multi-channel engagement, we empower marketers to reach the right accounts, at the right time, with the right message—across advertising, email, web, and sales.
  • Arm Operations Teams: Integrate insights, centralize audience creation, and maximize impact by connecting 6sense with your tech stack. We’re the single canvas for your entire GTM strategy.

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.

Why You’ll Love This Role

  • Impact: Your work creates the Predictive Core for the entire company, ensuring our foundational modeling engines remain the most accurate and trusted in the B2B market.
  • Innovation: You will define the Predictive Lifecycle Strategy, building the architectural leverage that allows our modeling teams to move from discovery to platform-wide deployment with high velocity.
  • Growth: Join a rocket ship, learn every day, and accelerate your career in a collaborative, high-energy environment.
  • Fun: We take our work seriously, but not ourselves. Expect GIFs, puns, and the occasional ABM meme.

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). #Li-remote

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Our Benefits:

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.

Equal Opportunity Employer:

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-impact leadership role requiring deep product judgment across predictive modeling, data foundations, and platform strategy. It also demands people leadership and the ability to align complex technical dependencies with company-wide business outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$222,430.25
US market range (per year)$190k–$270k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of $188,997.50 to $255,863.00 USD. The posting does not explicitly state a cadence, but yearly pay is inferred from the senior US full-time product leadership context and salary magnitude. The midpoint is $222,430.25 per year. A reasonable estimated US market range for a senior product leader overseeing ML and predictive-platform products is $190,000 to $270,000 per year, excluding bonus, commission, and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you define a product strategy for a shared predictive platform used by multiple application teams?

I would begin by identifying the common prediction use cases, model consumers, data dependencies, and measurable business outcomes. I would establish a platform roadmap centered on reusable model capabilities, clear APIs or consumption patterns, quality standards, and prioritization criteria that balance shared leverage with customer impact.

What metrics would you use to assess the health of predictive models in production?

I would track predictive quality metrics such as precision, recall, calibration, and drift alongside operational measures such as latency, coverage, freshness, and reliability. I would also connect model performance to product adoption, customer trust signals, and downstream GTM outcomes to ensure technical quality translates into business value.

Describe how you would manage tradeoffs between a specialized customer request and a reusable platform capability.

I would evaluate the request against customer value, strategic relevance, implementation cost, and reuse potential. If the need is broadly applicable, I would prioritize a configurable platform capability; if it is highly specific, I would seek a lightweight extension while protecting the core platform from unnecessary fragmentation.

How do you lead product managers working on technically complex AI products?

I set clear outcomes, decision boundaries, and operating cadences while coaching PMs to develop strong technical fluency and customer judgment. I use regular roadmap reviews, metric reviews, and stakeholder feedback to support growth, maintain accountability, and unblock cross-functional execution.

How would you address declining accuracy in a production intent-scoring model?

I would first validate the issue through segmented performance analysis, checking for data quality problems, behavior changes, feature drift, and shifts in customer populations. I would then coordinate data science, engineering, and product stakeholders on mitigation, such as retraining, feature changes, monitoring improvements, or calibrated customer communication, while measuring recovery against agreed quality thresholds.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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