Staff Product Manager, Agentic Travel Experiences
About The Position
As a Staff Product Manager, you'll own Spotnana's agentic booking, recommendation, and personalization experiences while shaping product strategy across one of our most visible traveler-facing AI initiatives. Corporate travel is becoming conversational, and Spotnana is building the AI travel agent behind it: an assistant that books, services, and advises across every surface a traveler touches. You will own one of Spotnana's most visible traveler-facing product areas, including the agentic booking experience, the recommendation engine that decides what travelers see first, and the personalization system that makes every answer specific to the traveler. This is one of the most visible surfaces at Spotnana, with direct executive sponsorship and a clear path to revenue.
Requirements
- 10+ years of total experience, including at least 5 years in product management.
- Hands-on experience with the AI/ML product lifecycle, including framing problems for models, offline and online experimentation, and understanding when a model is ready for production.
- Experience building agentic or conversational AI products (e.g. AI assistants, copilots, LLM-based products, recommendation or personalization systems).
- Proven end-to-end customer ownership: you have run discovery, design partnerships, and launches directly with enterprise customers.
- A strong eye for user experience and product craft, especially in conversational interfaces.
- Excellent communication and presentation skills, with the ability to influence engineering, design, and executive stakeholders without direct authority.
- Strong problem-solving skills and willingness to think outside the box and roll up one's sleeves to get the job done.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice To Haves
- Experience shipping machine learning or AI-powered products is preferred.
- travel, commerce, or marketplace domain experience is a plus.
Responsibilities
- Own the agentic booking experience end to end: natural-language search, selection, payment, and post-booking servicing across web, mobile, and messaging surfaces, from discovery and PRD through launch, measurement, and iteration.
- Drive the recommendation engine with ML engineering: learning-to-rank quality, feature development, offline and online evaluation, experimentation, and explanations travelers trust.
- Build the personalization system: preference capture from explicit, conversational, and behavioral signals; persona-aware modeling; consent-first data use; and the traveler graph that powers it all.
- Lead customer discovery end to end: run discovery with enterprise customers and travel management company partners, own design partnerships and beta programs, and close the loop from customer feedback to roadmap.
- Write crisp PRDs, develop prototypes when appropriate, and drive execution with engineering, design, data science, marketing, sales, and customer success partners.
- Sweat the experience: conversational UX, trust and confirmation patterns, latency budgets, and the details that make an AI product feel dependable rather than clever.
- Define and own success metrics, including: time to book, booking completion, recommendation acceptance, personalization quality, and customer satisfaction.
Benefits
- Equity in the form of stock options
- Pre-tax and ROTH 401(k) options via Fidelity with up to a 4% company match
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Pre-tax flexible spending account options for health, dependent care, and commuter expenses
- Flexible PTO
- 10 company holidays
- End-of-year company shutdown
- Up to 26 weeks of Parental Leave
- Monthly cell phone/internet stipend
- IATAN travel membership
- Pet insurance
- Financial wellness tools
- Calm app access
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What This Job Offers
Job Type
Full-time
Career Level
Senior
