Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
This role involves driving AI adoption at Coinbase by developing AI automation solutions, collaborating with teams, and managing prototypes to enhance efficiency and ROI.
Top Skills:
AIGenerative AiGoLarge Language ModelsMicroservices ArchitecturePython
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Staff Software Engineer, you will architect AI-driven systems for software development, integrating AI tools to enhance workflows and optimize engineering productivity.
Top Skills:
AIAWSCi/CdContainer OrchestrationGCPLlms
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.
Top Skills:
GoJavaLangchainOpenai SdkPython
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.
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 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
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.
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].
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.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
