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MongoDB

Builds document databases for software teams

Senior Product Manager - Technical Services Engineering

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Eight or more years of Product Management experience in enterprise SaaS or cloud platforms.
  • Proven experience modernizing Technical Support and Customer platforms and developer tooling, including knowledge sharing, workforce planning, and workflow automation for support engineers.
  • Strong understanding of the end-to-end support journey, including case creation and management, omni-channel routing, prioritization, system integrations, and AI-driven proactive engagement.
  • Deep knowledge of Salesforce Sales Cloud and Service Cloud, and integration patterns across support portals, developer tooling, and analytics platforms.
  • Understanding of post-sales milestones across Professional Services, Technical Support, and Solution Architects, with the ability to design solutions that improve the end-user experience.
  • Experience building custom workflow applications, automation platforms, or AI-powered tools, including building and deploying agents for developer and technical support workflows.
  • Experience with telemetry, analytics, and customer health data, and using product metrics to guide decisions.
  • Track record leading large-scale digital transformations and delivering creative solutions to complex business challenges.
  • Ability to partner effectively with engineering, operations, and business stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

  • Own the product strategy and roadmap for Technical Services platforms and tools.
  • Partner with Technical Services and Engineering leaders to define product vision, prioritize investments, and deliver scalable solutions that improve end-customer experiences, drive operational efficiency, and support business growth.
  • Translate business strategy, stakeholder needs, and operational priorities into scalable, platform-based product capabilities on a product roadmap.
  • Partner with business and engineering leaders to guide product investments in alignment with enterprise architecture, security, governance, and platform standards.
  • Develop product requirements, prioritize features, define measurable outcomes, and drive adoption through data-driven decision-making.
  • Balance short-term business priorities with long-term platform strategy to maximize customer value, operational efficiency, and business impact.
  • Incorporate stakeholder feedback, operational insights, and market trends into product evolution.
  • Partner with Technical Services and Post Sales leaders to identify opportunities and improve how the organization works.
  • Represent the voice of the user and ensure solutions address operational challenges.
  • Communicate priorities, trade-offs, timelines, and progress to stakeholders and leadership.
  • Build partnerships with engineering teams, architects, and external vendors.
  • Own and maintain the product backlog and roadmap, prioritizing work based on business impact and technical feasibility.
  • Work with engineering in an Agile environment to plan and deliver product releases.
  • Balance new feature development with platform improvements and technical debt.
  • Manage cross-team dependencies and align stakeholders to ensure smooth delivery.
  • Partner with enablement and change management teams to drive adoption of new capabilities.
  • Communicate product changes and new features, and collaborate with the Communications team to develop messaging for customers and partners when appropriate.
  • Monitor KPIs and support incident or problem management when issues arise.

About the Company

MongoDB

Builds document databases for software teams

MongoDB builds databases for software teams that need to store and retrieve application data without fitting every record into fixed rows and columns. Its flagship Atlas service runs the database in the cloud and combines it with tools for search, real-time analytics and AI retrieval. Data is stored as flexible documents, letting developers change an application's structure while keeping related information together. Customers pay for cloud resources and usage, or buy Enterprise Advanced subscriptions to run the software themselves with monitoring, management tools and technical support. MongoDB was founded in 2007 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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