Staff Product Manager, AI
Navan INC - Palo Alto, CA
Posted Mar 6, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $134K-$297K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
110% above the BLS role benchmark for product management aggregate.
Matched to SOC 11-1021 - Product Management aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff Product Manager, AI Palo Alto, CA 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. What You'll Do 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.
Read the full description at navan.com. FewerJobs shows a preview and links to the original posting.
Apply link verified; last checked Aug 3, 2026.
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