Senior Product Manager, MongoDB
Artificial Intelligence
$136-266k
More information about location
Developer data platform
Job no longer available
Developer data platform
1001+ employees
Job no longer available
$136-266k
More information about location
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 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
- 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)
What the job involves
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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