The AI Product Manager defines product strategies, collaborates with engineering and data teams, and oversees AI product development and performance evaluation.
Responsibilities
- Define and execute product strategies and roadmaps for AI-powered products and features.
- Collaborate closely with Engineering, Data Science, Design, Risk, Compliance, and Business teams to deliver scalable AI solutions.
- Translate business requirements into clear product specifications, user stories, and technical requirements.
- Work with AI/ML teams on LLM applications, AI agents, automation tools, recommendation systems, or data intelligence products.
- Conduct market research, competitor analysis, and user feedback analysis to identify product opportunities.
- Prioritize product features based on business impact, user needs, and technical feasibility.
- Monitor product performance, user engagement, and operational metrics to drive continuous improvements.
- Coordinate product launches and support cross-functional execution across stakeholders.
Requirements
- Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or related field.
- 2–3 years of experience in Product Management, preferably in AI, SaaS, fintech, or technology companies.
- Strong understanding of AI/ML concepts, LLMs, prompt engineering, or AI workflows.
- Experience working with cross-functional technical teams in agile development environments.
- Strong analytical thinking and problem-solving skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Familiarity with product management tools such as Jira, Confluence, Figma, or similar platforms.
- Excellent communication and project coordination skills.
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Staff Product Manager will lead the strategy and execution of AI-powered financial products, collaborating with various teams to ensure innovation and compliance while mentoring other product managers.
Top Skills:
AIMlSQL
Artificial Intelligence • Fintech • Software • Financial Services
Lead the AI product strategy, balancing technical feasibility with user needs, while collaborating closely with engineers for effective execution and quality control.
Top Skills:
AIAlgorithmsData StructuresMlSystem Design
Blockchain • Software • Cryptocurrency
The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.
Top Skills:
AILlmsPython
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
