AI Product Manager Mid Level - USA

We're hiring a mid-level Product Manager to own and grow AI-driven features and products. You'll work across engineering, design, data science, and business stakeholders to identify problems worth solving with AI, define what "good" looks like, and ship products that actually work in production, not just in a demo.

This isn't a research role. You won't be building production models yourself. But we're not looking for someone who just writes PRDs and hands them off. We want someone who has actually gotten their hands dirty: built a prototype, chained some prompts together, used AI to automate a real workflow, or shipped a scrappy internal tool. If your AI experience is limited to writing requirements for a team that built the thing, that's not what we're looking for.

• Own the roadmap for one or more AI-powered product areas from problem definition through launch and iteration

• Translate ambiguous business problems into clear product requirements and success metrics

• Partner with engineering and data science teams to scope what's feasible, what's expensive, and what's a bad idea

• Use AI tools yourself in your day-to-day work (research, drafting specs, analyzing data, prototyping) rather than treating AI as something other people build

• Define and track metrics that matter: accuracy, latency, cost per query, user trust, adoption, not just "did we ship it"

• Run structured experiments (A/B tests, phased rollouts) to validate whether AI features are actually improving outcomes

• Manage tradeoffs between model quality, cost, latency, and user experience

• Communicate clearly with both technical teams and non-technical stakeholders about what the AI is doing, why, and where it fails

• Own the uncomfortable conversations when an AI feature underperforms or needs to be pulled back

• 3-5 years of product management experience, with at least 1-2 years working on AI/ML-powered products or features

• A concrete example of something you built or shipped using AI, not just specced. This could be a side project, an internal tool, a prototype using an LLM API, a workflow you automated, or a feature you personally prototyped before handing off for productionization. Be ready to walk through it in detail: what you built, what tools you used, what broke, what you changed

• Working knowledge of how ML/AI systems are built and evaluated: enough to have informed conversations with data scientists and engineers, not enough that you need a CS degree

• Strong written and verbal communication; you can explain a confusion matrix to an exec and a business requirement to an engineer

• Track record of shipping products and owning outcomes, not just writing requirements for someone else to own

• Comfortable with ambiguity. AI product work has a lot of "we don't actually know yet"

• Retail or e-commerce experience (merchandising, personalization, search/recommendations, inventory, or customer service AI applications)

• Experience with LLM-based products specifically (chatbots, copilots, agents, RAG systems)

• Familiarity with prompt engineering, evaluation frameworks, or model fine-tuning concepts

• Experience working with responsible AI, fairness, or safety review processes

• You've shipped or meaningfully improved at least one AI feature and can speak to its metrics with confidence

• Engineering and data science trust your judgment on scope and tradeoffs

• You've killed or paused at least one bad idea before it wasted engineering time

• Stakeholders come to you for a straight answer on what the AI can and can't do

• $130,000 - $170,000

• Own high-visibility engagements end to end, with direct exposure to Fortune 100 and global enterprise leadership.

• A rare career path that combines deep technical ownership with genuine business and executive impact.

• Work across diverse industries, technologies, and problem domains. No two engagements look the same, because no two solutions are the same.

• Be part of building the playbook for a new category of technical role, not just executing an existing one.

• Unlimited PTO.

• Please ask us about our very generous parental leave, much above industry standards!

• Entrepreneurial culture where pushing limits and taking risks is everyday business.

• Open communication with management and company leadership.

• Small, dynamic teams = massive impact.

• Medical, Dental and Vision coverage for employees.

• Access to Disability & Life insurance.

• Mental health and wellbeing support.

• Annual bonus program.

• Employer Stock Purchase Program (ESPP).

• Yearly team building experiences.

• Mentorship and sponsorship opportunities.

• Manager resources and support.

Cogniify is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic