Software Engineer, AI

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.

From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.

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 Technical Lead and CEO (also our product visionary) 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 a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Citi, Prudential, CVS and Bristol Myers Squibb.

• 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

• Engineering Skills: You've got significant experience in a combination of scaling startups and best-in-class engineering organizations, with deep Python expertise (Django preferred) and confidence querying databases independently to build your own datasets.
• 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.

• Ownership of projects and strategic priorities regardless of seniority.
• Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.
• Options from day one, which means you will be on the ownership track right away.
• Competitive salary and equity packages.
• Comprehensive health coverage (medical, dental, and vision) from day 1.
• Provision of anything you need to be successful - learning tools, hardware, office equipment, software.
• Generous PTO, company-wide R&R shutdowns and paid leave for parents.
• A WFH stipend, phone stipend and support to work in a We Work or other space as preferred.

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.

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] .