Who We Are

• The Growth team at MongoDB sits at the intersection of product, engineering, and go-to-market execution, with a singular mission: help developers and businesses discover, adopt, and scale effectively with MongoDB.

We own critical moments across the customer journey; from first touch and activation to expansion and long-term success. The work we do includes identifying high-impact opportunities, running experiments, and building experiences that measurably improve activation, engagement, and retention.

• This role follows a hybrid working model in our New York City office, or can be performed remotely in the United States.

As a Product Manager on the Growth team at MongoDB, you’ll own a squad focused on improving the developer experience across MongoDB Atlas. You’ll turn ambiguous growth opportunities into clear product bets and measurable business outcomes through high-impact, data-informed initiatives that help developers succeed at every stage of their journey.

• We’re hiring Product Managers aligned to a Growth problem spaces: Activation

Activation focuses on enabling builders with intent to ship an application to find success on MongoDB as quickly and effectively as possible by reducing time to value, removing friction from the registration-to-activation funnel, and setting the standard for how developers onboard to Atlas.

• You’ll partner closely with Engineering, Design, Data, Marketing, Sales, and Developer Relations, and you’ll be accountable for moving the metrics that matter most to MongoDB’s growth.
• In this role, you will:
• Own the product strategy and roadmap for your Growth squad, defining target segments, end-to-end journeys, and experimentation plans that drive scalable, sustainable growth
• Identify and optimize key conversion moments across the Atlas lifecycle, including registration, activation, free-to-paid conversion, and multi-application adoption
• Lead the delivery of friction-reducing product experiences that accelerate developer success (e.g., streamlined onboarding, intelligent upgrade paths, developer tool integrations, improved organization/project management)
• Design, build, and iterate on digital growth mechanisms including in-app experiences, upgrade surfaces, contextual guidance, lifecycle messaging, and journey orchestration
• Define and instrument end-to-end measurement frameworks (events, funnels, cohorts) and provide ongoing insights into conversion, engagement, and retention performance
• Partner with Marketing on lifecycle campaigns and scaled programs such as Office Hours, webinars, and nurture journeys
• Collaborate with Sales and Customer Success to align digital-led growth with enterprise motions and enable seamless customer handoffs
• Drive AI-native product experiences, including integrations with AI coding assistants, agentic workflow improvements, and LLM-powered discovery and guidance
• Partner with Analytics and Data Science on targeting strategies, propensity models, experimentation design, and impact measurement

Champion high-quality, scalable solutions with reliability, security, permissions, compliance, and organizational best practices in mind

• Background in engineering (computer science, electrical, software)

Requires engineering-level instrumentation and data pipeline knowledge — The role explicitly calls for end-to-end journey instrumentation, including defining event schemas, conversion funnels, and cohort views. This requires the ability to architect analytics data flows and work directly with data science and engineering teams on targeting models and propensity scoring — skills rooted in a technical/engineering background Involves NoSQL database architecture and migration pattern expertise — MongoDB explicitly lists understanding of NoSQL databases and relational-to-NoSQL migration patterns as a role requirement. Evaluating and guiding these architectural decisions for enterprise customers requires the kind of systems-level database knowledge gained through engineering education and practice

• Experience with developer platforms, data infrastructure, or cloud services
• Understanding of MongoDB, NoSQL databases, or relational-to-NoSQL migration patterns
• About MongoDB
• With offices worldwide and nearly 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.
• 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.

• 3+ years in product management for B2B SaaS (ideally PLG), with a track record of driving activation, conversion, monetization, retention, or expansion

Requires deep technical fluency in distributed database systems — The role demands hands-on understanding of MongoDB Atlas, a globally distributed, multi-cloud database architecture spanning AWS, Google Cloud, and Azure. The candidate must be able to evaluate engineering tradeoffs in areas such as database scalability, multi-region deployments, and cloud-native infrastructure — knowledge that requires a formal engineering foundation Demands expertise in backend systems and API-driven product development — The position involves defining and shipping features such as project cloning, user role management, org-to-project patterns, and workload templates. These are deeply technical, backend-oriented product decisions requiring the candidate to work fluently alongside software engineers on APIs and system architecture Leads a cross-functional engineering squad in a product-led growth (PLG) environment — The candidate will own and direct an engineering squad responsible for building growth infrastructure, including in-app messaging systems, lifecycle automation, and conversion optimization tooling. Prior software engineering experience or technical education is listed as a preferred qualification precisely because the role requires the ability to assess technical feasibility, scope engineering work, and maintain credibility with engineering peers

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.

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, 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: 3263258253 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: $98,000 — $193,000 USD