In this role, you'll be hands-on shaping the technical foundation of our LLM-powered product used by leaders at Fortune 500 companies. You'll work closely with our VP Engineering and Tech Leads to ship real features fast, debug hard problems, and scale systems that redefine how enterprises approach learning and leadership. This is not an incremental build. It's a ground-floor opportunity to create and own something category-defining.

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

• Architect, build, and optimize core components of our LLM-driven coaching engine
• Collaborate with product, design, and infrastructure to deliver delightful, resilient user experiences
• Own end-to-end systems: from model integration to Front End delivery, evaluation and observability
• Design for scale, security, and performance across enterprise environments
• Influence and evolve our engineering culture, roadmap, and technical bar
• Debug across the stack-from model behavior to data infra to UI
• Help shape hiring, tooling, and internal processes as we grow

What We're Looking For

• Engineering Skills: You've got significant experience in a combination of scaling startups and best-in-class engineering organizations, with Python, Ruby, Go, C# or similar language. JS, Vue, React are nice to haves.
• AI Fluid: You've got hands-on experience from ML roles, coursework, side projects, and/or LLM applications-bonus points for running evals or demonstrating a great grasp of model quality/performance tradeoffs
• Builder at Heart: You've architected and shipped production-grade systems - ideally in AI, distributed infrastructure, or high-velocity B2B environments. You balance speed with scalability
• Versatile and Pragmatic: You move fluidly between crafting clean abstractions and deploying scrappy experiments when speed to insight matters most
• Product Focused: You write reliable code and care as much about how your work performs in the hands of customers as how it performs in CI
• Startup Fluent: You thrive in ambiguity, value momentum over perfection, and happily wear multiple hats when it means unblocking the team
• Data-Driven Operator: You think in experiments, validate with data, and believe that observation beats assumption every time

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 either remote or hybrid from our offices in New York or Toronto. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

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 hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at (see below)

We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a Full time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent Full time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.

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.