Valence
Principal Product Designer
New York, New York · Principal
Sponsorship not specifiedDetected 180 days ago
Full-Stack DevelopmentMachine LearningNLPLLMsA/B TestingFigmaDesign SystemsProduct StrategyLeadershipCollaborationMentoring
About the role
- This is a rare opportunity to define what consumer-grade AI coaching experiences look like at enterprise scale.
- Redefine the paradigm: Conversational and LLM-driven interfaces are still early.
- You'll challenge existing patterns and establish new standards for AI-native product experiences.
Responsibilities
- Design features that evolve Nadia from 1:1 coaching into a multiplayer collaboration platform, including context-sharing, team dynamics, and manager tooling
- Establish and evolve our design system to maintain craft and consistency as we scale
- Collaborate intensively through working sessions, critiques, and paired design work
- Proven experience building and maintaining design systems that enable team velocity
- A track record of shipping quickly on small, scrappy design teams (not large orgs with specialized roles)
- Design Exercise
- Work through a design problem with members of our PDE team
- Discuss your approach to design leadership, feedback, and collaboration
- Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
Requirements
- 8+ years of product design experience with a strong portfolio demonstrating consumer-grade craft
- Experience at a high-growth startup, helping scale from early stage to meaningful traction
Compensation
- Competitive salary including base + bonuses
Benefits
- 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
Company info
- We operate as a tight, collaborative team with intentional practices that make distributed work effective and energizing.
- 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.
- 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 https://www.youtube.com/watch?v=VGYZ59n_x-c
- Location and Work Environment
- This can be a remote or hybrid role.
- NYC based candidates will be 3 days a week in office in Union Square.
Equal opportunity
- 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 jobs@valence.co.
Visa & Work Authorization
- Candidates must have valid ID/passport and must not have any restrictions on their travel abilities due to work authorization or permits.
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This listing is sourced directly from Valence's careers page and normalized into a canonical job model.