AI Product Manager
The AI Product Manager at Confidential Client leads the definition and delivery of scalable AI products and platforms that drive measurable business value while ensuring governance and operational compliance. This role collaborates cross-functionally with technology, data, risk, and business teams to prioritize AI capabilities, optimize adoption, and continuously improve product performance through data-driven strategies and agile methodologies. The position requires balancing technical feasibility, user needs, and regulatory requirements to advance AI integration within financial services workflows.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Banking & Financial Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As the AI Product Manager you will define and drive AI/ML product strategy that delivers measurable business impact for a Confidential Client in the banking & financial services sector. You will partner closely with engineering, data science, design, compliance, and business stakeholders to bring responsible AI solutions from concept to production.
- Translate business goals into a prioritized AI product roadmap
- Define clear success metrics (business and ML performance) and monitor post-launch outcomes
- Work with data science and engineering to scope experiments, validate models, and operationalize ML pipelines
- Manage product lifecycle: discovery, requirements, delivery, launch, and iteration
- Ensure products meet regulatory, privacy, and compliance requirements relevant to financial services
- Communicate roadmap, releases, and trade-offs to stakeholders and leadership
- Advocate for user-centered design and ethical, explainable AI practices
What We’re Looking For
We seek candidates with product management experience (or related experience) who can operate at the intersection of business, data, and engineering. Early-career candidates with strong technical curiosity and relevant exposure to AI/ML are encouraged to apply.
- Experience shipping software products or AI-based features (product, engineering, data science, or similar)
- Familiarity with machine learning concepts and ML lifecycle (training, validation, deployment, monitoring)
- Strong analytical and problem-solving skills; ability to define metrics and interpret model performance
- Experience working cross-functionally with engineers, data scientists, designers, and compliance/legal teams
- Excellent written and verbal communication skills; ability to present complex ideas to non-technical stakeholders
- Bachelor’s degree in a relevant field, or equivalent practical experience
Preferred Qualifications
- Prior experience in financial services, banking, or regulated industries
- Experience with model monitoring, A/B testing, feature engineering, or MLOps practices
- Familiarity with privacy-preserving and explainable AI techniques
- Product management certification or advanced degree (MBA, MS in CS, Data Science) is a plus
Location & Work Arrangement
This position is based in Minneapolis, MN (Hennepin County). Candidates should be able to work on-site or participate in hybrid arrangements as required by the Confidential Client. Specific work arrangement details will be discussed during the interview process.
What We Offer
- Competitive compensation and benefits package (details provided by the Confidential Client)
- Opportunities to work on high-impact AI products in financial services
- Collaborative, cross-functional teams and strong mentorship
- Professional development and training resources
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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