Job description
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model.
About the Role
We are seeking a highly skilled Senior IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering measurable impact.
Key Responsibilities
AI Product Strategy & Roadmap
- Define and execute the internal AI product strategy aligned with enterprise IT and business goals
- Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data)
- Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making)
- Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences
Product Management Execution
- Embrace the product mindset and own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production
- Define and manage product backlogs, roadmaps, and success metrics
- Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience)
Stakeholder Engagement
- Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities
- Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives
- Communicate product vision, progress, and value realization to executive leadership
Governance & Risk Management
- Ensure AI adoption complies with enterprise governance, security, privacy, and compliance standards
- Work with data teams to ensure responsible AI practices and guardrails are in place
Team Leadership & Evangelism
- Serve as a thought leader and evangelist for AI within IT, driving awareness, education, and adoption
- Mentor junior product managers and contribute to building a culture of innovation in IT
Qualifications
- 7+ years of product management experience, with at least 3 years in AI/ML, automation, or enterprise IT solutions
- Strong understanding of IT service delivery, enterprise applications, and internal operations
- Demonstrated success delivering AI or advanced analytics products at scale in a corporate environment
- Experience with AI platforms (e.g., OpenAI, Anthropic, Azure AI, AWS AI, Google Cloud AI) and integration with IT systems (ServiceNow, Workday, Salesforce, etc.)
- Excellent communication and stakeholder management skills, with ability to influence at all levels
- Familiarity with responsible AI practices, data governance, and compliance requirements
- Bachelor’s degree in Computer Science (preferred), or related field (MBA or advanced degree preferred)
Success Measures
- Delivery of high-value AI use cases that improve IT efficiency and business outcomes
- Adoption of AI solutions across IT teams and end users
- Measurable cost savings, productivity improvements, and enhanced employee experience
- Positive feedback from stakeholders on AI innovation and impact
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 3263256728
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$136,000—$266,000 USD
