Forward Deployed Product Engineer at Valence

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Engineering, Prompt Design, Stakeholder Management, Modularity, AI Systems, Quality Assurance, Collaboration, Growth Mindset, Enterprise Craft, Evaluation Frameworks, Customization, Implementation, Iteration, Coaching, Communication, Safety

Industry

Data Infrastructure and Analytics

Description

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 This role will lead enterprise customizations for Nadia—our AI coach—adapting and deploying tailored solutions for complex customer environments. You’ll design, implement, and evaluate high-impact workflows (prompts, memory/knowledge patterns, coaching flows), balance bespoke vs. reusable architectures, and build the tooling and evaluation muscle that helps us scale enterprise AI deployments. You’ll collaborate cross-functionally with Product, AI Research/Applied AI, and Engineering, ensuring our most advanced enterprise AI systems are safe, performant, and aligned with user outcomes. This is a hybrid role combining product sense, technical grounding, and delivery instinct—ideal for someone who loves to build, ship, and iterate. You’ll thrive if you can translate between client needs and AI system design, and operate comfortably in ambiguity while pushing toward real-world results. 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, ServiceNow, 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. \n What You'll Do Own end-to-end customizations: Lead discovery → design → implementation → evaluation → iteration cycles for enterprise-grade workflows. Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability. Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients. Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly. Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact. Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training. Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains. What We’re Looking For 5+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast. LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails. Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering. Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship. Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact. Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism. Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape Startup DNA: Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution. 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 \n Location and Work Environment This role is 3 days a week (Tues - Thursday) minimum in office in Union Square. 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. #LI-HYBRID

Responsibilities

Lead enterprise customizations for Nadia, adapting and deploying tailored solutions for complex customer environments. Collaborate cross-functionally to ensure advanced enterprise AI systems are safe, performant, and aligned with user outcomes.