Staff Product Manager - Internal AI

Навыки

• AWS
• Azure
• Продуктовое мышление
• Data Governance
• Google Cloud
• Лидерство
• Machine Learning

О компании и продукте

• MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
• With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
• Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
• 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!

Задачи

• AI Product Strategy & Roadmap
• Define and execute the internal AI product strategy aligned with enterprise IT and business goals
• Own multiple product lines in the internal AI product space
• 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

Требования

• 10+ 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 (ZenDesk, SuccessFactors, 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

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