Valence Logo

Valence

Principal Product Manager, Enterprise

Posted Yesterday
Be an Early Applicant
In-Office or Remote
2 Locations
220K-320K Annually
Senior level
In-Office or Remote
2 Locations
220K-320K Annually
Senior level
Lead enterprise engagement as Principal Product Manager, focusing on product vision and metrics for AI coaching in Fortune 1000 companies.
The summary above was generated by AI
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

  • 8+ years of relevant product management or equivalent operator/technical experience.
  • AI Fluency: Proven AI-native orientation with clear personal/professional use of AI tools, workflow automation, or productized AI practices.
  • Enterprise Impact: Direct experience building products for Fortune 1000 organizations, with ownership of adoption, retention, or scale across complex enterprise environments.
  • High Velocity Execution: Demonstrated ability to thrive in early-stage product environments, shipping with minimal process and citing high-impact outcomes.
  • Analytical Rigor: Strong analytical skills including A/B testing, build-measure-learn loops, and using data to define and measure enterprise success metrics.
  • Product Craft: Drive product excellence by presenting live walkthroughs of shipped products, unpacking decisions that achieved measurable adoption and real-world results.
  • User & Enterprise Empathy: Deep, intuitive empathy for both individual users and enterprise stakeholders — able to understand motivations and pain points across the org chart, from end-users to executives, to inform high-impact product bets.
  • Organizational Savvy: Comfort navigating enterprise processes, reviews, and change management, ensuring product delivery drives both user value and enterprise-scale outcomes.

What You'll Get

  • Ownership & Rapid Growth
  • Outsized missions from day one, with direct responsibility for company-defining projects
  • Work alongside the executive team with transparency into strategy and decision-making
  • Influence on direction through real-time customer feedback and market insights

  • AI-First Operator
  • Work directly with cutting-edge AI models and next-generation platforms
  • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
  • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale

  • Compensation
  • Competitive salary including base + bonuses
  • Comprehensive health coverage (medical, dental, vision) from day one
  • Generous PTO, company-wide R&R shutdowns, and paid parental leave
  • Retirement plan support for US and global employees

  • Equity
  • Meaningful ownership in a venture-backed company at a growth inflection point
  • Financial upside that comes from scaling fast
  • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact

  • Top-Performing Culture
  • A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together

  • Learn more about us and meet our team here

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].

Top Skills

AI
Machine Learning
Natural Language Processing

Similar Jobs

8 Minutes Ago
Remote or Hybrid
US
24-39 Hourly
Entry level
24-39 Hourly
Entry level
Information Technology
Perform technical tasks related to the operation and monitoring of managed services technologies, ensuring service delivery within SLAs, and providing tier-1 support.
Top Skills: AutomateHeatIbm Power IMS OfficeNimsoft Unified ManagementRemedySciencelogicService Desk ExpressServicenow
2 Hours Ago
Remote
United States of America
173K-223K Annually
Senior level
173K-223K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead Circle's global fraud risk management program, overseeing analytics, compliance with regulations, and investigations into fraud. Collaborate with stakeholders to assess and mitigate fraud risks.
Top Skills: AIData AnalyticsFraud Detection SystemsMachine Learning
2 Hours Ago
Remote
United States of America
30K-41K Hourly
Junior
30K-41K Hourly
Junior
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
As Guest Experience Coordinator, you will manage reception duties, provide guest services, and support special projects, ensuring a premium experience for visitors.
Top Skills: Google WorkspaceRingcentralSlack

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account