Staff Product Manager, AI

Navan • Palo Alto, CA

7h

About The Position

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.

We are looking for an AI Product Manager for our Navan Edge team in Palo Alto. Your mission is to evolve Navan Edge into a proactive AI travel agent. You won't just be building features; you’ll be designing the autonomous systems that anticipate traveler needs before they even arise.

Requirements

• 5+ Years of PM Experience: Proven success in a high-growth SaaS environment, with at least 2+ years specifically focused on AI/ML products.
• Technical Foundation: 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).
• The Modern Generalist: 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.
• Strategic Prioritization: You are a "prioritization hero" who knows how to balance long-term model R&D with the immediate need for shipping user value.
• Iterative Execution: A track record of moving fast in an environment where the AI landscape changes weekly.
• The "Traveler’s Heart": A genuine love for travel and an obsession with solving the messy, real-world problems of business trips.

Responsibilities

• Architect Agentic Experiences: Design and scale AI-driven "agentic" workflows that handle end-to-end travel logistics
• Define the AI Strategy: Lead the vision for how Generative AI, RAG, and personalized LLM fine-tuning can create a "hyper-personalized" experience for every traveler.
• End-to-End Life Cycle Orchestration: Map the traveler’s journey, Pre-trip, During-trip , and Post-trip into a single, invisible AI thread.
• Predictive Problem Solving: 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.
• Data-Driven Navigation: Use data not just for reporting, but to identify patterns where AI can reduce "travel friction." You’ll define KPIs around autonomous task completion and AI-to-human handoff efficiency.
• Cross-Functional Orchestration: 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.
• Champion Trust & Safety: Ensure that AI-driven travel recommendations are unbiased, secure, and compliant with global data privacy standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level