This role pays more than
75%
of similar roles. Most pay
$181,553–$244,250
— the shaded band above.
At the midpoint, this role pays about
$244k
versus about
$213k
for comparable roles.
Based on 238 similar postings.
Employer
About MongoDB
MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.
MongoDB currently has
287 open roles
on FindRole.
Listed pay typically runs
$126,500–$209,000
across 104 roles with salary data.
The Staff IT Product Manager for Internal AI will lead the strategic development and deployment of AI-driven solutions within our enterprise IT environment at MongoDB. This role involves crafting a comprehensive product strategy that aligns with both business and technical goals, overseeing multiple internal AI initiatives from conception to production, and ensuring seamless integration across various IT functions such as helpdesk, infrastructure, security, and applications. The ideal candidate possesses extensive experience in managing large-scale AI/ML products and has a deep understanding of enterprise IT landscapes. Key responsibilities include driving product execution, engaging with stakeholders to identify opportunities for AI implementation, and fostering a culture of innovation while adhering to governance standards. Candidates should have at least 10 years of product management experience, including significant involvement in AI projects, proficiency with major AI platforms like OpenAI and Azure AI, and strong communication skills to influence decision-makers across the organization.
AI
ML
Data Science
Engineering
APIs
Platform Products
Responsible AI
Metrics
Model Performance Data
Communication
Influence
LLMs
Embeddings
Agentic Systems
Fintech
Identity
Risk
AI
ML
Datacenter
Cloud
Product Management
Systems Thinking
Competitive Analysis
GenAI
ML Accelerators
Hardware
Software
Infrastructure
Performance Analysis
System Layers
End-to-End System Behavior
Problem Solving
Technical Analysis
Customer Workloads
Product Roadmap
Engineering Priorities