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.
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 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
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/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale.
Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large, distributed environments.
Builder at Heart: you’ve architected and shipped production-grade, user-facing systems. You balance polish with speed, knowing when to prioritize craftsmanship and when to push scrappy experiments to learn fast.
Versatility and pragmatism: you balance sound architectural decisions with a willingness to prototype and iterate quickly when needed.
Customer-Centered & Product-Focused: you care as much about usability, accessibility, and adoption as you do about code quality. You think beyond “does it work” to “does it work for the user, at scale, and in enterprise environments.”
Startup fluent: you thrive in ambiguity, value momentum over perfection, and enjoy wearing multiple hats.
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
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 jobs@valence.co.
Employment Verification & Commitment
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.
Valence takes candidate fraud seriously. We verify identity, LinkedIn profiles, employment history, and references; any misrepresentation during the hiring process is grounds for withdrawing an offer or ending employment. All offers are contingent on successful completion of these checks.
