Staff Technical Program Manager jobs at Mongodb in United States, San Francisco

• Be a part of and mentor agile teams as a senior developer, focusing on end-to-end migration of enterprise-grade Java applications using SQL-based databases to modern, cloud-based MongoDB architectures
• Pioneer the use of GenAI technologies to overcome complex migration challenges, bringing creativity to adopt the latest tools and approaches for each unique project
• Analyze existing SQL-based architectures, including extensive work with stored procedures, system design, and enterprise integration, and design optimal solutions to modernize and streamline applications
• Collaborate with stakeholders across technical and business units, serving as a strategic advisor for enterprise clients
• Guide and mentor junior team members, providing direction and fostering a collaborative team environment
• Showcase advanced debugging skills, identifying and resolving technical issues promptly, even in high-stakes environments

• 7-10 years of software development experience, with strong proficiency in Java, including multithreading, AOP, and enterprise-grade frameworks such as Spring Boot and/or Quarkus.
• Previous direct exposure to enterprise grade systems is a must
• Expertise in relational databases, particularly in SQL, stored procedures, and ORM tools like JPA and Hibernate
• Extensive experience with system design, microservices architectures, and Domain-Driven Design approaches
• Demonstrated history of delivering high-cadence applications through Agile methodologies, TDD, CI/CD pipelines, and Git version control
• Excellent skills in stakeholder management, with proven success leading teams and collaborating cross-functionally
• Familiarity with Python and JavaScript (Node.js) is a plus

• Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization and orchestration tools like Docker and Kubernetes
• Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects

• Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences
• Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations
• Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices

You will be joining a globally distributed team with a significant presence in both Europe and North America. While this role is based in the EMEA region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our European hubs like Dublin and Barcelona, as well as remote work in several countries (including the Netherlands, Great Britain, Italy, Germany, Spain, and France).

This role will be based remotely in Spain.

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

• Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
• Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility, co-ordinating initiative-level strategy and personally writing well-tested, production-ready C++ code
• Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
• Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features. You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems.
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

• 7+ years experience working in a Customer Success, Account Management, Client Services or other similarly customer-centric role
• A background and passion for advocating on behalf of your customers - this role should act as an extension of our customers team within MongoDB
• A mind for technology - we’ll teach you about MongoDB and databases, but our customers and product are inherently technical and you should have an aptitude and curiosity to learn about those concepts
• The ability to act with a high level of autonomy, you will be expected to take full ownership of your customer portfolio and make key decisions to drive effective customer outcomes; including deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict and advocating to internal teams including sales, professional services, etc
• An entrepreneurial mindset - you will be required to both deviate from established procedure and often build entirely new process or practices to ensure we best serve this customer segment
• Team player and passion for collaboration - this role will work with some of our most strategic growth customers so must align closely to Sales, Professional Services, Tech Services, and the broader MDB ecosystem
• Prior exposure to database, cloud, and infrastructure technology is a plus

• Work as a strategic advisor to your customer providing them with guidance on MongoDB best practices and their overall technology strategy; this could include running enablement sessions alone or with another internal MongoDB team members, advising the customer on strategies to optimize their technical environment or current spend with MongoDB, positioning and recommending product features and best practices to accelerate customers time to value and growth
• Collect feedback and identify roadblocks from customers to inform internal teams including Product, Professional Services, and Leadership on how MongoDB can build a stronger product and go to market organization
• Act as the link between our customers and product engineering to develop new innovative solutions. You will be key in building the future roadmap of our product by acting as the Product team’s eyes and ears in this field
• De-escalate and resolve critical customer issues and complaints by finding the best possible solution for both the customer and MongoDB; this could include anything from navigating a customer outage that has a financial impact on their business, to helping an application team devise a custom MongoDB solution or implementation for their critical application, no day is the same
• Build and execute account plans to mitigate risk and drive growth 3+ quarters out across your portfolio
• Lead in-person executive business reviews for strategic customers in your portfolio, including interfacing with C-suite executives and other technical leaders to align to business objectives and agree to a mutual success plan
• Work on strategic internal projects to help build the Customer Success program; our expectation is that anyone in this role has strong business acumen and the ability to create and teach best practices, new process, and enablement to the broader organization
• Document all customer interactions in internal systems, including Gainsight and Salesforce.com
• Provide feedback and guidance to leadership on key signals within MongoDB Atlas that indicate healthy or unhealthy customer accounts; as our product evolves, we’ll need to be constantly adjusting our engagement strategies based on these signals, which you’ll be in the best position to identify and share back with internal teams
• Manage the relationship with Sales Leadership and Account Executives in your territory, including reporting on business performance, training on best practices, and rolling out program updates to ensure sales people and leaders are abreast of best practices for interacting with Customer Success
• Forecast expected churn and growth to your senior leadership team
• Help interview, onboard and ramp new team members - as a more senior team member you will have an immediate role in who joins the team
• Act as a leader amongst your peers, running enablement sessions, product certifications and being vocal in team meetings to ensure those around you grow

As a Staff Engineer, you’ll be hands-on with design and implementation, while working with engineers across experience levels to build a robust, scalable system. The focus is on latency, availability, observability, and scalability in a multi-tenant, cloud-native environment.

• Partner with Search Platform and Voyage.ai AI engineers and researchers to productionize state-of-the-art embedding models and rerankers, supporting both batch and real-time inference
• Lead key projects around performance optimization, GPU utilization, autoscaling, and observability for the inference platform
• Design and build components of a multi-tenant inference service that integrates with Atlas Vector Search, driving capabilities for semantic search and hybrid retrieval
• Contribute to platform features like model versioning, safe deployment pipelines, latency-aware routing, and model health monitoring
• Collaborate with peers across ML, infra, and product teams to define architectural patterns and operational practices that support high availability and low latency at scale
• Guide decisions on model serving architecture using tools like vLLM, ONNX Runtime, and container orchestration in Kubernetes

• 8+ years of engineering experience in backend systems, ML infrastructure, or scalable platform development
• Expertise in serving embedding models in production environments
• Strong systems skills in languages like Go, Rust, C++, or Python, and experience profiling and optimizing performance
• Comfortable working on cloud-native distributed systems, with a focus on latency, availability, and observability
• Familiarity with inference runtimes and vector search systems (e.g., Faiss, HNSW, ScaNN)
• Proven ability to collaborate across disciplines and experience levels, from ML researchers to junior engineers
• Experience with high-scale SaaS infrastructure, particularly in multi-tenant environments

• Prior experience working with model teams on inference-optimized architectures
• Background in hybrid retrieval, prompt-based pipelines, or retrieval-augmented generation (RAG)
• Contributions to relevant open-source ML serving or vector search infrastructure

• Be part of shaping the future of AI-native developer experiences on the world’s most popular developer data platform
• Collaborate with ML experts from Voyage.ai to bring cutting-edge research into production at scale
• Solve hard problems in real-time inference, model serving, and semantic retrieval — in a system used by thousands of customers worldwide
• Work in a culture that values mentorship, autonomy, and strong technical craft
• Competitive compensation, equity, and career growth in a hands-on technical leadership role

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive-level communication related to the program.

• Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 10 years of Software development background, preferably Cloud storage and compute products
• Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Design, maintain, and improve the processes and tools that power program delivery
• Build strategic partnerships with Product and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody and

• 7+ years experience working in a Customer Success, Account Management, Client Services or other similarly customer-centric role
• A background and passion for advocating on behalf of your customers - this role should act as an extension of our customers team within MongoDB
• A mind for technology - we’ll teach you about MongoDB and databases, but our customers and product are inherently technical and you should have an aptitude and curiosity to learn about those concepts
• The ability to act with a high level of autonomy, you will be expected to take full ownership of your customer portfolio and make key decisions to drive effective customer outcomes; including deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict and advocating to internal teams including sales, professional services, etc
• An entrepreneurial mindset - you will be required to both deviate from established procedure and often build entirely new process or practices to ensure we best serve this customer segment
• Team player and passion for collaboration - this role will work with some of our most strategic growth customers so must align closely to Sales, Professional Services, Tech Services, and the broader MDB ecosystem
• Prior exposure to database, cloud, and infrastructure technology is a plus

• Work as a strategic advisor to your customer providing them with guidance on MongoDB best practices and their overall technology strategy; this could include running enablement sessions alone or with another internal MongoDB team members, advising the customer on strategies to optimize their technical environment or current spend with MongoDB, positioning and recommending product features and best practices to accelerate customers time to value and growth
• Collect feedback and identify roadblocks from customers to inform internal teams including Product, Professional Services, and Leadership on how MongoDB can build a stronger product and go to market organization
• Act as the link between our customers and product engineering to develop new innovative solutions. You will be key in building the future roadmap of our product by acting as the Product team’s eyes and ears in this field
• De-escalate and resolve critical customer issues and complaints by finding the best possible solution for both the customer and MongoDB; this could include anything from navigating a customer outage that has a financial impact on their business, to helping an application team devise a custom MongoDB solution or implementation for their critical application, no day is the same
• Build and execute account plans to mitigate risk and drive growth 3+ quarters out across your portfolio
• Lead in-person executive business reviews for strategic customers in your portfolio, including interfacing with C-suite executives and other technical leaders to align to business objectives and agree to a mutual success plan
• Work on strategic internal projects to help build the Customer Success program; our expectation is that anyone in this role has strong business acumen and the ability to create and teach best practices, new process, and enablement to the broader organization
• Document all customer interactions in internal systems, including Gainsight and Salesforce.com
• Provide feedback and guidance to leadership on key signals within MongoDB Atlas that indicate healthy or unhealthy customer accounts; as our product evolves, we’ll need to be constantly adjusting our engagement strategies based on these signals, which you’ll be in the best position to identify and share back with internal teams
• Manage the relationship with Sales Leadership and Account Executives in your territory, including reporting on business performance, training on best practices, and rolling out program updates to ensure sales people and leaders are abreast of best practices for interacting with Customer Success
• Forecast expected churn and growth to your senior leadership team
• Help interview, onboard and ramp new team members - as a more senior team member you will have an immediate role in who joins the team
• Act as a leader amongst your peers, running enablement sessions, product certifications and being vocal in team meetings to ensure those around you grow

As a Staff Engineer on the Atlas Data Federation and Archiving team, you will lead the design, optimization, and scalability of our storage and federated query systems. This role focuses on high-performance distributed storage, data lifecycle management, and efficient data retrieval at scale.

This role can be based in New York City, Austin, San Francisco, Seattle, or remotely in the United States.

Storage & Data Processing Performance

• Architect and optimize large-scale storage solutions for federated data access, ensuring efficient retrieval, indexing, and query performance
• Optimize data archival pipelines for high-throughput ingestion, durability, and cost-efficiency
• Improve data tiering and lifecycle policies for moving and querying data efficiently across hot, warm, and cold storage tiers
• Reduce operational costs through intelligent storage layout, compaction strategies, and query execution optimizations

Distributed Query & Execution Engine

• Improve and scale our distributed query execution engine, optimizing it for multi-source federated queries and data lake processing
• Enhance query performance across object storage (e.g., S3, GCS, Azure Blob) by optimizing indexing, partitioning, and compaction techniques
• Implement workload-aware autoscaling for query execution and data processing
• Reduce incident rates by improving system resilience, failover mechanisms, and observability

Technical Leadership & Mentorship

• Guide architectural decisions and lead design reviews across engineering teams
• Mentor engineers in distributed systems, data storage optimization, and operational excellence
• Partner with Product Management to define the technical roadmap for storage and data federation solutions
• Participate in on-call rotation, providing senior oversight for incident response and postmortem retrospectives

• 10+ years experience in software engineering, with a focus on backend and distributed storage systems
• Expertise in large-scale storage systems, such as distributed databases, cloud object storage (S3, Azure Blob, GCS), or data lake technologies (Iceberg, Delta Lake, Hudi, etc.)
• Strong background in designing and optimizing storage layers, indexing, and data lifecycle management
• Experience optimizing query engines for high-volume, low-latency federated data access
• Track record of improving system reliability, observability, and cost-efficiency
• Experience with Kubernetes-based deployment of distributed storage or query systems
• Proficiency in Go or Java (preferred, but not required)
• Deep understanding of query optimizers, storage formats (Parquet, ORC), and indexing strategies
• Experience with disaggregated storage and cloud-native data lake solutions
• Proven ability to lead technical initiatives as an individual contributor while mentoring senior engineers and driving technical excellence within a team.