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Bond Sports in New York City is seeking an AI-native Product Manager who will own features from discovery to production. You will talk directly with customers, design workflows, and prototype using AI tools to ship production features across APIs, data, payments, and scheduling.
You’ll work closely with the Chief Product Officer and push the boundaries of AI-enabled product design, shipping fast while maintaining usability and impact for sports facility management customers.
About Bond Sports
Bond Sports is a fast growing SaaS company that helps power the youth & recreational sports market. We help any owner or operator of sports facilities improve their business operations and better manage their turf, courts, fields, diamonds, pools, gyms, or other athletic spaces.
Our customers range from independent facilities to large, multi-location sports organizations and franchises, that also includes NBA, MLS, NHL and USL facilities. Our product combines both a strong breadth and depth, requiring an eventual understanding of our workflows around registration, rental/events, payments, scheduling accounting, reporting and more.
We're a growing team, we ship frequently, and we're investing heavily in AI to improve how we build software and agentic products for our customers.
I. The Role
We're hiring a Product Manager who is really a product builder to join our team in NYC. This role needs someone who talks to customers, works with internal stakeholders, and then actually builds things by prototyping, coding with AI tools, and shipping features into production.
This isn't a role where you write a spec and hand it off. You'll own features end to end. You will identify problems by talking to customers, decide what to build, design the workflow, and then build, test, ship and measure it yourself moving fluidly across product, design and engineering rather than waiting on additional team members.
You'll work directly with our Chief Product Officer and have real autonomy over what you build and how fast you move.
You should be someone who lives in AI tools and is already testing new models and frameworks, understanding what they're actually good for, and using that edge to ship faster than a traditional product team could.
II. What You'll Do
III. What We're Looking For
IV. Bonus Points
V. What Success Looks Like
Compensation & Logistics