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 cutting-edge Fortune 500 companies across healthcare, financial services, manufacturing, and technology.

Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365

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 As a Senior/Staff Product Engineer, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide.

You’ll contribute to:

Full stack architecture,



development, and optimization of features spanning backend, AI/model integration, and frontend interfaces.

Designing for scale, performance, and security in enterprise environments.

Debugging across the stack - from model behavior and backend services to UI logic and client performance.

Collaborating with product, design, and operations to deliver delightful, resilient user experiences.

Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows.

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 throughAI-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 inHarvard 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, includingCoca-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 whatAI-first business transformationlooks like across every major industry.

What You'll Do

Build and extend critical backend services:

architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability.

Develop polished frontend experiences:

craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend.

Own end-to-end delivery:

from scoping requirements, writing tests, deploying code, to monitoring and observability in production.

Collaborate deeply:

work across product, design, data, and infrastructure to solve real user problems and accelerate delivery.

Drive best practices:

help shape engineering standards, CI/CD automation, observability, and performance benchmarking.

Mentor and grow:

support team members through code reviews, technical discussions, and institution of scalable practices.

What We’re Looking For

Strong full stack experience:

you have shipped production-grade systems involving both backend and frontend components, and you’re comfortable owning APIs and user experiences end-to-end.

Technical breadth/ Engineering skills:

deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue).

Frontend craftsmanship

📌 Senior Product Engineer (Winnipeg)
🏢 Valence
📍 Winnipeg