Senior Software Engineer, AI

Valence • New York, NY

50d • Hybrid

About The Position

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 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.

Requirements

• 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.
• 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.
• You’ve architected and shipped production-grade systems - ideally in AI, distributed infrastructure, or high-velocity B2B environments. You balance speed with scalability.
• You move fluidly between crafting clean abstractions and deploying scrappy experiments when speed to insight matters most.
• You write reliable code and care as much about how your work performs in the hands of customers as how it performs in CI.
• You thrive in ambiguity, value momentum over perfection, and happily wear multiple hats when it means unblocking the team.
• You think in experiments, validate with data, and believe that observation beats assumption every time.

Nice To Haves

• JS, Vue, React are nice to haves.

Responsibilities

• 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 frontend 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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees