Lead Product Manager
Nubank
AI Product Manager
First American
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Colorado, Florida, Tennessee • 🇺🇸 United States
Visit company websiteSalary
💰 $145,000 - $193,000 per year
Job Level
SeniorLead
Tech Stack
AzureCloudPythonSQL
About the role
- Define and execute the enterprise AI roadmap, aligning with business strategy and compliance.
- Evaluate and prioritize AI use cases across operations, IT, risk, and legal.
- Serve as the strategic and technical lead for AI platforms like Microsoft CoPilot, Appian, ChatGPT, Fabric, MLflow, and more.
- Design and implement AI governance frameworks for testing, validation, and deployment.
- Oversee development and deployment of AI solutions using Python, MLflow, and cloud-based ML services.
- Manage and mentor AI talent, starting with a senior data scientist, while building organizational AI literacy.
- Champion responsible AI adoption, leading education and enablement programs for business users.
- Track emerging AI technologies and recommend adoption strategies.
Requirements
- Bachelor’s in Computer Science, Data Science, or related field; advanced degree preferred.
- 10+ years in product management, with 3–5 years focused on AI/ML platforms.
- Proven experience managing AI/ML model lifecycle and governance in regulated environments.
- Expertise in LLMs, RAG systems, predictive analytics, and AI agents.
- Fluency with Python, SQL, MLflow, and enterprise ecosystems like Azure, CoPilot, Appian.
- Exceptional leadership, stakeholder management, and communication skills.
- Strategic thinker who balances innovation with compliance.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision coverage.
- 401(k) with company match.
- Flexible work arrangements, including remote options.
- Generous PTO and professional development opportunities.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLMLflowAI governance frameworkspredictive analyticsAI model lifecycle managementlarge language models (LLMs)retrieval-augmented generation (RAG) systemsAI agentscloud-based ML services
Soft skills
leadershipstakeholder managementcommunicationstrategic thinkingmentoringorganizational AI literacyeducation and enablementinnovation balancingresponsible AI adoptionteam management
