About the Team

Join our MongoDB Search product team to build production-grade APIs that give customers access to industry-leading Voyage AI models and capabilities. Our mission is to deliver a world-class API and developer experience for our best-in-class models and AI-native information retrieval solutions.

As a Product Manager for model APIs, you will drive the development and adoption of our API offerings among developers and enterprises. You will work at the intersection of AI models, developer platforms, and cloud services, partnering closely with engineering, design, UX research, go-to-market, and cloud platform teams. In this role, you will dive deep into customer challenges, formulate hypotheses, and validate them through innovative solutions.

• We are looking to speak to candidates who are based New York or San Francisco (Hybrid)
• Role Responsibilities

Cross-Functional Execution: Work closely with engineering to translate customer needs into clear product requirements and prioritized roadmaps. Partner with design, analytics, and UX research to understand user behavior and continuously improve the API experience. Collaborate with GTM, sales, docs, technical support, and developer relations to ensure successful launches and adoption

• Atlas Integration: MongoDB Atlas is an enterprise, multi-cloud data developer platform. Shape deep integration with Atlas, including billing, usage analytics, permissions, observability, and UI experiences

AI Stack Collaboration: Partner with model infrastructure, serving and platform teams, and AI researchers as upstream stakeholders to align on delivery priorities. Provide customer insights to inform platform and research requirements and strategic direction Developer Experience Leadership: Champion a best-in-class developer experience across API design, SDKs, documentation, onboarding flows, and enterprise readiness and compliance. Ensure fast time-to-first-success for developers through clear quickstarts, sample code, and reference architectures Customer & Market Insight: Engage directly with customers and prospects to understand real-world AI workloads and developer workflows. Conduct competitive analysis of AI API providers and developer platforms. Identify barriers to adoption and opportunities for expansion Product Roadmap and Strategy: Own the roadmap for the API service in Atlas, covering capabilities such as embeddings, reranking, fine-tuning, and batch inference. Develop a clear point of view on how AI model APIs should evolve for enterprise and developer use cases

• Experience: At least two to four years of product management experience, with significant time in developer platforms, APIs, or AI/ML products
• Education: Bachelor’s degree in a related field (computer science, engineering) or equivalent experience
• Communication: Excellent written and verbal communication skills. Able to translate complex technical ideas for diverse audiences. Strong product storytelling and documentation skills
• Customers: Demonstrated ability to build strong relationships with technical customers and translate their needs into product features
• Developer Experience: Strong understanding of APIs, SDKs, and cloud services. Deep appreciation for developer workflows and pain points
• Data Proficiency: Ability to use metrics and experimentation to inform product decisions. Comfortable defining and analyzing usage, funnel, and retention metrics
• Artificial Intelligence: Familiarity with AI/ML concepts such as embeddings
• Nice to Have
• Advanced AI Proficiency: Formal academic training and/or hands-on experience with AI/ML concepts and technologies, such as model training, model deployment/inference, and fine-tuning
• About MongoDB
• 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.

• Collaboration: Effective at influencing across engineering, design, GTM, and leadership. Comfortable operating in a fast-moving, ambiguous environment

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.

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: 1273380448 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: $118,000 — $231,000 USD