Senior Product Manager Data jobs at Mongodb in United States, New York

• Build and design new features for MongoDB Atlas
• Contribute to and lead complex technical projects
• Work closely with product and design teams, considering the user’s perspective while building technical solutions
• Work with customers and support engineers to fix issues
• Collaborate with team members to develop our codebase, best practices, and design principles
• Learn from and mentor other team members

• Has at least 5 years of professional software development experience
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Is comfortable working across the stack of a modern web application (e.g. React, TypeScript)
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has led the launch of a new module and maintained it in production
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

• In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
• In 6 months, you'll have contributed to a large project
• In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

• Overall Program Planning
  • Establishing program objectives and goals
  • Establishing inter and intra dependencies to complete the program on-time
  • Developing a detailed program management plan that integrates scope, schedule, budget, risk, communication, quality, and integration strategies
• Contract and Finance Management
  • Expertise in creating, meticulously tracking, and strictly controlling a large, fixed budget. This includes accurate forecasting, variance analysis, and proactive cost optimization
  • Thorough understanding and effective management of the contractual terms such as scope, change control, milestone deliverables, quality and performance, financial payment terms and penalties
  • Program Delivery and Governance
  • Developing and maintaining a highly detailed and integrated master schedule that accounts for all integration activities, critical milestones, and interdependenciesIdentifying the critical path with precision and proactively managing activities along this path to ensure on-time delivery of the integrated system
  • Actively enforcing adoption of MongoDB’s Agentic AI platform for automating all aspects of legacy application modernization. This will be a key metric for the overall success of the program
  • Diligently monitoring progress against the established schedule, proactively identifying potential delays, and implementing effective mitigation strategies to stay on track
  • Managing resources and optimizing the allocation of resources with the right number, at the right time from the right geographies to meet demanding schedules without causing over or under utilization
  • Managing stakeholders communicating effectively to ensure customers and MongoDB’s objectives are met and to communicate program status on a weekly, monthly, and quarterly basis to various levels of customer organizations
  • Program status reporting to ensure all program metrics are tracked and reported to ensure programs are running on-time, on-budget while meeting customer expectations
  • Ensure delivery processes are followed, which includes timely and accurate feedback to engineering teams to improve the Agentic AI platform as part of its on-going development and evolution
• Team Leadership and Management
  • Providing leadership to a matrixed team spanning different geographies and cultures to operate as one cohesive unit to achieve overall program objectives

• 10+ years of program management experience leading enterprise-scale technology transformation programs
• Excellent customer interaction and presentation skills (ability to present to different audiences and bring the message across in a concise, professional manner)
• Demonstrated belief in the power of stakeholder management and communications; track record of affecting change through stakeholder engagement
• Services delivery experience with diverse teams that span geographies and cultures
• Ability to travel to customer sites to actively engage and build trusted partner relationships across the customer organisation

• Agentic AI driven integrated development Platform
• Legacy Modernization Methodologies
• Document Database
• Delivery Excellence

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

We’re also investing in , a specialized backend service for building AI agents to help engineers debug tasks. Written in TypeScript, Sage is part of our push to bring AI-powered tooling to the heart of our developer productivity ecosystem.

• Design, build, and optimize web applications in React, GraphQL, and TypeScript, focusing on performance and user experience
• Lead development on Spruce and Parsley, delivering data-rich, highly interactive experiences that scale to massive CI workloads
• Collaborate with backend engineers working in Go and TypeScript to build seamless integrations between frontend and backend services
• Contribute to Sage, developing AI-powered agentic flows that help engineers debug tasks more effectively
• Ensure best practices in testing (Cypress), monitoring, and reliability
• Mentor team members and help shape the technical and cultural direction of our team

• 5+ years of strong experience in React and TypeScript
• Experience working with backend systems (experience in a statically typed compiled language like Go is a plus)
• Interest in developing agentic services and working with AI-powered developer tooling
• Track record of designing and implementing performant, large-scale web apps
• Familiarity with end-to-end testing frameworks such as Cypress or playwright
• Strong fundamentals in software engineering, including algorithms, data structures, and systems design
• Ability to thrive in environments with high impact and uncertainty, driving projects from 0→1 and beyond

• In three months, you’ll have contributed to Spruce or Parsley, shipping improvements in performance or user experience. You’ll understand the architecture and be in discussions about Sage’s AI-driven services
• In six months, you’ll have led development on a substantial feature in Spruce or Parsley, and contributed to Sage’s AI agentic workflows. You’ll be recognized as a go-to person for frontend performance and developer experience
• In twelve months, you’ll be initiating and leading projects that shape the future of developer productivity at MongoDB, across frontend, log analysis, and AI agentic services. You’ll mentor teammates and influence architectural direction on new greenfield projects.

We’re seeking a Lead Engineer for the Atlas Stream Processing team to provide technical direction, direct architecture decisions, and implement core parts of the new stream processing architecture that GA’d in the summer of 2024. enables processing streams of complex data using the same data model and Query API used in Atlas databases.

• Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
• Make coding contributions to the team’s projects
• Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
• Take responsibility for the planning and execution of major features, raise delivery risks
• Own the monitoring, operations, and maintenance of the systems your team develops
• Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
• Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

• 5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
• 2+ years of experience managing a team of 3+ engineers and providing technical leadership
• Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
• Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
• Have led the launch of new features and maintained them in production
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

• In the first month, you’ll have understood the surface area, the high level architecture of the Atlas Stream Processing. You’ll have initiated one-on-one’s with your team members.
• In three months, you’ll have on-boarded onto the team and contributed to the design and development of a feature
• In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
• In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you’ll have contributed to the vision for the future of the Atlas Streams team and helped develop a plan to achieve that vision

• Product Strategy and Ownership: Drive the complete lifecycle of the product, from defining vision and strategy to roadmap creation and execution; Align product direction with business priorities, IT architecture, and stakeholder needs; Define the "art of the possible," balancing quick wins with long-term improvements, and advocate for strategic innovation in data products
• Requirements Gathering and Use Case Definition: Partner closely with stakeholders, including analysts, engineers, and product managers, to collect and document detailed business requirements; Interview diverse personas to determine use cases, user stories, and actionable solutions, ensuring stakeholder pain points are accurately captured
• Stakeholder Collaboration and Advocacy: Serve as the voice of the user, gathering feedback and championing their needs; Develop and maintain strong partnerships across business units, engineering teams, and executive leadership. Provide clarity and transparency to the business on product progress, prioritization decisions, and roadblocks
• Agile Product Management: Lead and drive agile ceremonies, from backlog grooming to sprint planning and retrospectives; Collaborate closely with technical teams to ensure timely and high-quality product delivery; Balance addressing tech debt while driving innovation and new feature development in sprints
• Enablement and Long-Term Discoverability: Build user-friendly documentation and guides to drive product adoption and longevity; Communicate complex concepts in a manner easily understood across multiple audiences, ensuring discoverability and literacy of data products
• Performance and Market Analysis: Define measurable product outcomes and success metrics. Continuously analyze data signals to inform innovation, roadmap prioritization, and product delivery; Conduct market research to stay up-to-date with industry trends and guide strategic direction for products and the Internal Data Platform
• Product Marketing & Adoption: Announce product features and datasets through effective product marketing strategies and evangelization efforts, driving adoption across MongoDB teams; Re-launch features as needed to invigorate usage and showcase core capabilities
• Change Management: Partner with change management and training teams to promote adoption of features and capabilities; Communicate product changes effectively and track KPI metrics for success

• Experience: 5+ years of experience in product management, preferably in data products, or equivalent work experience with a proven ability to define product scope and collaborate with technical teams to deliver impactful solutions
• Strategic Thinking: Demonstrated ability to align product roadmaps with business priorities, operational needs, and technical feasibility. Skilled at making trade-off decisions between scope, resources, and timelines
• Stakeholder Empathy: Strong stakeholder-focused mindset, with a track record of understanding pain points, building partnerships, and translating insights into actionable requirements and solutions
• Technical Strength: Deep understanding of data engineering, analytics, and UX fundamentals. Experience working with analysts, data scientists, engineers, product managers, and operators, with the ability to step into their shoes and anticipate their needs
• Agility in Execution: Proficient in leading agile teams and ceremonies, managing technical dependencies, and driving continuous improvement of product processes and user experiences
• Effective Communication: Exceptional written and verbal communication skills, enabling collaboration across diverse company audiences, both technical and non-technical
• Growth Mindset: Adaptable, eager to take on challenges beyond the defined scope, highly organized, and detail-oriented to ensure thorough execution and delivery
• Outcome-focused Approach: Strong focus on measurable product outcomes and iterative improvement, with the ability to define and monitor success metrics
• Educational Background: B.Sc. in Computer Science or a related field preferred, or equivalent work experience in technology and product domains

• Data Analytics Expertise: Experience with BI, data engineering, or analytics tools; enjoys digging into data for insights, progress validation, and new opportunities
• Market Awareness: Keeps up-to-date with market trends in databases, data science, and software development, influencing product strategies accordingly
• User Enablement: Skilled in creating guides, documentation, and onboarding materials for stakeholders, driving long-term stakeholder productivity
• Evangelization Passion: Demonstrates enthusiasm for promoting, re-launching, and driving adoption of products, datasets, and features
• Metadata Management Knowledge: Understands the importance of metadata creation and documentation for long-term discoverability and literacy of data products

Hands-on experience designing and implementing paid digital programs is a must, ABM experience is required. The right candidate will be a strong program manager, have excellent collaboration and communication skills, and have experience working within paid digital platforms.

This role will be based remotely in New York.

1. Partner with marketers from across the Global Demand Center, Regional Marketing, and Product Marketing to fine-tune existing processes and programs, and design new workflows as needed
2. Act as the digital acquisition team point of contact for global paid digital ABM campaign planning and execution
3. Take lead on the programs you manage by working with our media agency to launch new paid digital campaigns, and communicating key milestones and learnings back to your stakeholders
4. Ensure that we have the right reporting dashboards in place for the programs you oversee, and manage conversations with our Marketing Operations and Analytics teams to design new dashboards as needed
5. Leverage digital platforms and analytics tools to gather data, extract insights, design experiments, and make informed recommendations to help progress your programs
6. Work with your manager to develop budget plans and forecasts, and determine spend allocations across programs

• B2D or B2B marketing experience, ideally in SaaS/Self-Serve. 2+ years of experience in marketing to a technical audience preferred
• 4+ years of experience managing programs across paid digital channels, including experience building ABM digital programs
• Exceptional project management experience, with experience keeping track of multiple projects at once and prioritizing work based on business impact. Experience working with project management tools like Wrike a plus
• Effective communication skills, with experience communicating processes and best practices to stakeholders. Ability to be flexible as needs change across teams and programs
• Critical thinker, with the ability to quickly ascertain cross-functional needs, understand how these needs ladder up to marketing and company objectives, and make informed recommendations to non-analytical audiences
• Direct experience managing campaigns across Meta, LinkedIn, and Google
• Experience working with and managing relationships with digital agencies
• Strong track record of achieving program goals and business objectives