Principal Product Manager, Enterprise

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.

Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.

And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel "done," and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.

The Role

We're hiring a Principal Product Manager to lead enterprise engagement at Valence. You'll act as the GM for our enterprise product surface, owning context, customizations, and features required by the world's largest organizations. This is not a consumer-facing role - your mandate is to ensure adoption, retention, and expansion at organizational scale.

This role demands someone who can operate at the intersection of product vision, customer empathy, and enterprise execution. You'll take holistic ownership of enterprise metrics, driving the success of our Fortune 500 deployments while shaping how AI coaching scales across the most complex organizations in the world.

About Valence

We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.

What You'll Do

• Act as GM for enterprise engagement, setting the vision for enterprise adoption and retention at organizational scale.
• Lead strategic product direction and roadmap development in close partnership with product and technical leadership.
• Own success metrics end-to-end, including activation, engagement, and long-term retention across large enterprise deployments.
• Personally define, prioritize, and validate hypotheses via fast, data-driven experiments; craft programs to test, learn, and iterate quickly.
• Spend substantial time in discovery - from enterprise buyer journeys and process reviews to user interviews and segmentation - ensuring both enterprise empathy and user insight shape product direction.
• Translate the complexity of Fortune 1000 customer needs into scalable platform features, balancing customization with product cohesion.
• Collaborate across engineering, design, and customer-facing teams to ensure enterprise processes, change management, and product execution align for successful deployments and expansion.
• Own and execute creative product marketing experiments, including messaging and AI-assisted approaches, to drive enterprise adoption.
• Lead product teardowns and retrospectives to surface lessons, articulate trade-offs, and uphold a high bar for product judgment and craft.

What We're Looking For

What You'll Get

Learn more about us and meet our team here >

$220,000 - $320,000 a year

Additional Information

The base pay range reflects what our company, in good faith, believes we would offer for this position at the time of posting. Actual offers within this range depend on factors including experience, skills, market competitiveness, and internal equity. Other benefits may apply depending on location and eligibility.

Our salary range is intentionally broad to accommodate both high-potential individuals stepping up into this role for the first time and candidates with significant, relevant experience. This flexibility allows us to recognize and reward both emerging and established talent according to contribution, readiness, and fit within our broader compensation philosophy

Location and Work Environment

This role can be remote or hybrid. If in NYC role is 3 days a week (Tues - Thursday) minimum in office in Union Square. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions for North America and Europe.

Diversity and Inclusion

We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.