Staff Product Manager

We are looking for a Staff Product Manager to own and drive our Platform — the foundational infrastructure layer powering our Application Modernization Platform (AMP). This is a high-impact, technically demanding product leadership role that sits at the intersection of platform engineering, cloud infrastructure, and next-generation AI.

You will be responsible for standing up the platform from the ground up — or significantly evolving an existing foundation — covering service hosting, API gateways, identity and access management, observability stacks, telemetry pipelines, and error-logging frameworks.

The ideal candidate has walked in the shoes of an SRE, built or scaled a SaaS or application modernization platform, or served as a product manager for platform, infrastructure, or DevOps products at a leading enterprise technology company.

This role will be based remotely in India.

• 8+ years of overall professional experience; 4+ years in a product management role focused on platform, infrastructure, observability, or SRE domains
• Deep technical fluency in cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines
• Hands-on familiarity with API gateway configuration, service mesh patterns, and microservices architecture
• Working knowledge of authentication protocols (OAuth 2.0, OIDC, SAML) and authorization models (RBAC, ABAC)
• Experience with at least one full observability stack: metrics collection, distributed tracing, and centralized log management
• Proven ability to define and track reliability metrics (SLIs/SLOs/error budgets) and drive engineering teams toward measurable reliability goals
• Strong written and verbal communication skills — can translate complex infrastructure concepts for both technical and executive audiences
• Comfortable operating in high ambiguity; able to define product scope and priorities with incomplete information

• Prior experience evaluating or deploying LLM orchestration layers or AI/ML platform tooling
• Familiarity with AI observability tooling
• Experience with multi-agent system design patterns (tool use, memory, planning loops, guardrails)
• Background at a company with an India engineering hub — experience working within a globally distributed engineering organization is a strong plus

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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!

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 is an equal opportunities employer.

Req ID - 2273443964