Product Manager

Ajaia is an AI implementation consultancy and product studio. We help organizations move from AI experimentation to measurable return on investment across four practices: AI Strategy and Advisory, Workforce Training and Enablement, Process Optimization, and Custom AI Development. Our work sits with executives and the people who do the work, and it is judged on whether something changed in production, not on whether a pilot looked good in a deck.

• Talk to users and customers every week. Not a quarterly survey. Real conversations, real usage.
• Turn messy, sometimes contradictory signal, usage data, support tickets, sales requests, and what people say in interviews, into a ranked call on what gets built next.
• Say plainly what does not get built, including a well-funded customer's request, when the evidence does not support it.
• Write specs an engineer can build from without a follow-up meeting: the outcome, what is in and out of scope, where a human stays in the loop, and acceptance criteria someone could test.
• Prototype the core flow yourself, wireframes, a clickable mock, or a working demo, when that settles the argument faster than a deck would.
• Contribute to the code and the design directly: ship a small feature or fix with AI tools, mock the screen yourself, and hand engineers something running instead of something described.
• Partner with the design team on what the solution should be and how it holds up for the people using it.
• Partner with the delivery team and engineers on how the build runs and the date it ships by.
• Present the roadmap and the tradeoffs to the people who fund it, including when a client or a salesperson is unhappy with the call.
• Hold a priority decision under real pushback, or change it, and say why either way.
• Ship it, then watch the number after launch and act on what it says.

• Highly organized across multiple priorities and open questions at once.
• Sharp judgment on what to build next, and clear about what not to build.
• Strong plain writing: specs and decisions other people can act on without a follow-up meeting.
• AI fluent: you use AI daily to sort signal, draft specs, and prototype, and you can tell good output from slop.
• Comfortable contributing to code and design directly, with AI tools making you faster at both.
• Comfortable holding a priority call under pushback, or changing it for stated reasons.
• 1 or more years in product management, or work that proves the same skill.
• On-site in New York.
• A bachelor's degree is preferred and is not a requirement.

• Competitive benefits.