Staff Product Manager, AI

<div>At Navan, “It’s all about the user. All of them.” We’re passionate about creating seamless, personalized travel experiences for business travelers around the globe.<br><br>We are looking for an <strong>AI Product Manager</strong> for our <strong>Navan Edge team</strong> in Palo Alto. Your mission is to evolve Navan Edge into a <strong>proactive AI travel agent</strong>. You won't just be building features; you’ll be designing the autonomous systems that anticipate traveler needs before they even arise.<br><br><strong>What You’ll Do</strong></div> <ul> <li><strong>Architect Agentic Experiences:</strong> Design and scale AI-driven "agentic" workflows that handle end-to-end travel logistics</li> <li><strong>Define the AI Strategy:</strong> Lead the vision for how Generative AI, RAG, and personalized LLM fine-tuning can create a "hyper-personalized" experience for every traveler.</li> <li><strong>End-to-End Life Cycle Orchestration:</strong> Map the traveler’s journey, Pre-trip, During-trip , and Post-trip into a single, invisible AI thread.</li> <li><strong>Predictive Problem Solving:</strong> Define the logic for "Ghost-Concierge" moments, where the AI detects a missed connection and has three alternative options ready for a one-tap confirmation before the traveler even lands.</li> <li><strong>Data-Driven Navigation:</strong> Use data not just for reporting, but to identify patterns where AI can reduce "travel friction." You’ll define KPIs around <strong>autonomous task completion</strong> and <strong>AI-to-human handoff efficiency</strong>.</li> <li><strong>Cross-Functional Orchestration:</strong> Partner with AI Research and ML Engineering to balance model performance with latency and cost. Collaborate with Design to rethink how to merge conversation with UI components.</li> <li><strong>Champion Trust Safety:</strong> Ensure that AI-driven travel recommendations are unbiased, secure, and compliant with global data privacy standards.</li> </ul> <div><br><strong>What We’re Looking For</strong></div> <ul> <li><strong>5+ Years of PM Experience:</strong> Proven success in a high-growth SaaS environment, with at least <strong>2+ years specifically focused on AI/ML products</strong>.</li> <li><strong>Technical Foundation:</strong> A Computer Science degree or equivalent. You should be comfortable discussing token limits, vector databases, and the trade-offs between different foundation models (e.g., GPT-4o, Claude, Gemini).</li> <li><strong>The Modern Generalist:</strong> You don’t just use AI; you think in AI, constantly seeking ways to augment your capabilities and stay ahead of the curve in a rapidly evolving digital landscape.</li> <li><strong>Strategic Prioritization:</strong> You are a "prioritization hero" who knows how to balance long-term model RD with the immediate need for shipping user value.</li> <li><strong>Iterative Execution:</strong> A track record of moving fast in an environment where the AI landscape changes weekly.</li> <li><strong>The "Traveler’s Heart":</strong> A genuine love for travel and an obsession with solving the messy, real-world problems of business trips.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.<br><br>For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.</p></div><div class="title">Pay Range</div><div class="pay-range">< ... (truncated, view full listing at source)