
AI Product Manager
Lowell, MAJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The AI Product Manager will use AI across product requirements, user stories, analysis, and prototyping, and deliver AI capabilities from concept to production. The role focuses on learning systems, self-healing design, evaluation and governance, and transforming implementation or customer-onboarding workflows through automation. It also requires measuring delivery outcomes, making build-versus-buy decisions, and aligning senior leaders and delivery teams around a credible roadmap.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
AI-native operator: Uses AI daily across requirements, user stories, analysis, and prototyping, with clear examples of measurable impact. Proven AI product delivery: Has taken AI capabilities—LLMs, agents, copilots, or intelligent automation—from concept to production, not just pilots. Sound AI judgment: Understands where AI adds value and where it creates risk, and can define requirements, guardrails, and success metrics accordingly. Learning-systems mindset: Builds closed-loop AI that improves from outcomes, user corrections, and consultant overrides, making each delivery faster than the last. Self-healing design: Has built or scoped systems that detect failures or drift, automatically correct, retry, or escalate, and use those fixes to strengthen future performance. Evaluation discipline: Treats evals, quality scorecards, monitoring, and governance as core product capabilities so learning loops remain clean, auditable, and trustworthy. Delivery transformation experience: Has worked on platforms or tooling for implementation, professional services, or customer onboarding, with the ability to map end-to-end delivery, identify bottlenecks, and redesign workflows around automation. Outcome-driven: Measures success through cycle time, effort hours, and time-to-value, with quantified results to demonstrate impact. Strategic and practical: Stays current on the AI landscape and can make sound build, buy, or partner decisions. Executive presence: Can translate an ambitious goal into a credible roadmap, influence senior leaders, and align delivery teams.
Skills and Requirements
AI Expert; fundamentally understand and have gone through a robust program recently Former Full Stack Dev or a Product Manager at a SAAS company with AI experience Would be okay with a green candidate that has modern AI experience Trigger words: model development Heavy Machine Learning Experience Strong process understanding, the why,
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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