Staff Product Manager, AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

85% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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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 source-linked preview and links to the original posting.