About the role
What will you do at Spotnana?
Who: You! And the rest of the Product Engineering department & their
cross-functional partners.
What: 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.
When: We're looking to hire as soon as we find the right person.
Where: Hybrid: New York, NY; you will be required to be in office 1+ days per
week in alignment with our office work policy. Exceptional candidates in other
locations may be considered.
Why: 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.
How (to land the job!): The process typically begins with an introductory call
with a member of our Talent Acquisition team to discuss your background, career
aspirations, and what makes Spotnana a great fit. From there, you'll meet
virtually with engineers, product leaders, and hiring managers, including a
product case study as part of the interview process.
THE DAY-TO-DAY
* 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.
SKILLS & QUALITIES WE VALUE
* 10+ years of total experience, including at least 5 years in product
management. Experience shipping machine learning or AI-powered products is
preferred.
* 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); travel, commerce, or marketplace domain experience is a plus.
* 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.
Let’s talk compensation
Spotnana strives to offer fair, industry-competitive, and equitable
compensation. Our total compensation package includes base salary, an annual
performance bonus, company equity, and comprehensive benefits. We use trusted
third-party market data to establish compensation ranges that are competitive
for the role, industry, company size, and geographic market, while maintaining
internal equity across our team.
Compensation
is determined based on a variety of factors, including skills,
experience, qualifications, and work location. The anticipated annual base
salary hiring ranges for this role are:
* New York Metro Area, San Francisco Bay Area, Seattle Metro Area:
$192,000–$212,000
* California, New Jersey, Washington, New York, Washington, D.C.,
Massachusetts, Connecticut: $183,000–$203,000
* Hawaii, Alaska, Maryland, Illinois, New Hampshire, Oregon, Colorado,
Virginia, Delaware, Minnesota, Rhode Island, Pennsylvania, Texas:
$174,000–$194,000
* All other U.S. states: $166,000–$185,000
Actual compensation may vary based on individual qualifications and the
applicable geographic market.
We care for the people who make everything possible - our benefits offerings
include:
* Equity in the form of stock options, which provides partial ownership in the
company, so you can share in the success of the company as it grows
* 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 effective on your hire date. We cover 100% of your employee
premiums and 85% of your eligible dependents
* Pre-tax flexible spending account options for health, dependent care, and
commuter expenses
* Flexible PTO in addition to 10 company holidays and an end-of-year company
shutdown
* Up to 26 weeks of Parental Leave
* Monthly cell phone/internet stipend
* Extra perks — IATAN travel membership, pet insurance, financial wellness
tools, Calm app access, and more
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Technical Product Manager - Enterprise AI & IT - Austin
Redis · Austin, Texas, United States
Staff Technical Product Manager (Platform)
Zeitview · Boston, Massachusetts, United States
Technical Product Manager - AI Infra Resilience
NVIDIA · Santa Clara, California, United States
Staff Technical Product Manager (Platform)
Zeitview · Mountain View, California, United States
Product Manager Insurance Services
Southland Steel Fabricators, Inc. · New Orleans, Louisiana, United States
Senior Technical Product Manager, Applied AI - Mattel Digital Studio
Mattel, Inc. · El Segundo, California, United States
Role information can change. Confirm current details on the original application page.
