{"schemaVersion":"jobsearcher.job.v1","id":"49bfe4afbbc99de14be6b9d7","url":"https://jobsearcher.com/jobs/49bfe4afbbc99de14be6b9d7","canonicalUrl":"https://jobsearcher.com/jobs/49bfe4afbbc99de14be6b9d7","title":"Engineering Manager, Data Foundations","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\nFortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.\nAn overview of this role\nAs Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab.\nWe are looking for a leader who can leverage AI to drive non-linear productivity gains across the platform, accelerating our ability to deliver value to our customers.\nWe’re looking for someone with deep distributed systems knowledge. You’ll need to be comfortable going well beyond people management and into the architecture of high-throughput, multi-component data systems: ingestion, buffering, enrichment, replication, storage, querying, backpressure handling, isolation, and production operations across multiple deployment models.\nYou’ll partner closely with Product, Design, Infrastructure, Data, and other Engineering teams to evolve a platform that lives inside the product, keeps external services to a minimum, and runs across GitLab.com, Dedicated, Self-Managed, and Cells-based deployments.\nIn addition to Data Insights Platform, this role will take on classic search scope as the team joins the Data Foundations organization. You’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact.\nYou’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact.\nIn this role, you’ll balance technical guidance with people management. You’ll hire, coach, and develop engineers while also helping drive architecture and execution across a platform built around stateless ingesters, Siphon CDC replication, NATS/JetStream buffering, enrichment pipelines, ClickHouse-backed storage, and a Query API that interfaces with the GitLab Rails monolith.\nIn Data Foundations, we build the engineering systems that make platform data reliable, scalable, and available to product teams across GitLab, and you’ll help guide that work.\nWhat you’ll do\nHire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results.\nPartner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives such as Siphon, Query API integrations, classic search initiatives, and self-service reporting foundations.\nOwn delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness, with clear accountability for roadmap milestones and delivery outcomes.\nGuide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying, and shape architecture choices on sharding, partitioning, component-specific scaling, failure recovery, and tenant isolation across SaaS, Dedicated, self-managed, and Cells deployments, with a strong focus on reliability, throughput, operability, and maintainability.\nHelp the team design safe and scalable integrations with the GitLab monolith, including gRPC/Protobuf-based query paths and clear ownership boundaries between DIP and product teams building user-facing GraphQL or REST endpoints.\nDrive a high bar for security, privacy, and governance in how platform data is handled, including authentication, authorization, encryption, and safe handling of data with different privacy classifications.\nImprove operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments, with a focus on improving availability, throughput, latency, and time to recovery.\nCollaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation.\nLead the design and evolution of the platform with a focus on modular architecture, ensuring systems are extensible and ready for AI-driven integrations.\nWhat you’ll bring\nExperience managing platform, infrastructure, or data systems teams at scale, with a track record of building high-performing, values-aligned teams.\nDeep distributed systems expertise, including strong judgment on service boundaries, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and operating multi-component systems in production.\nStrong technical background in backend and platform engineering, with the ability to guide architecture for high-throughput event pipelines and data systems.\nExperience with technologies and patterns relevant to this space, such as change data capture, event streaming or messaging systems, OLAP data stores, query-serving layers, and service-to-service APIs.\nAbility to hire, develop, and coach team members while still contributing technical guidance on complex architecture and delivery tradeoffs.\nStrong cross-functional collaboration skills, especially when ownership is split between platform teams and feature teams consuming common infrastructure or APIs.\nExperience building or operating systems across multiple deployment models, with sound judgment about the tradeoffs between GitLab.com, Dedicated, self-managed, and cell-based environments.\nStrong written communication skills and the ability to work effectively in an all-remote, asynchronous environment.\nFamiliarity with search, indexing, and query-serving systems is a strong plus.\nA deep passion for reliability, customer outcomes, and engineering and operational excellence, with a proven track record of instilling these values in high-performing teams.\nAbout the team\nIn Data Foundations, we enable customers to self-serve reporting with scalable architecture. Our vision is to build a comprehensive dashboards-as-a-service framework that uses AI and relies on scalable data infrastructure.\nData Insights Platform is one of our central initiatives, and we play a key role in advancing self-service reporting across GitLab. This is the foundational layer every reporting and intelligence surface at GitLab depends on — from product dashboards to Software Engineering Intelligence to the GitLab Knowledge Graph.\nIn addition to Data Insights Platform, the team’s scope will include classic search as part of the broader Data Foundations organization.This brings together foundational analytics and search capabilities that help customers generate insights from product data and find relevant information across GitLab.\nWe partner closely with product teams to turn DIP’s real-time insights, Postgres-to-ClickHouse replication, event routing, and downstream exports into dashboards, agent experiences, and customer-facing reporting.\nThe scale expectations are real: we handle very large event volumes, with current and projected usage in the hundreds of millions of events per day.\nFor more on how we work, see:\nPlatform Insights Group\nData Insights Platform architecture blueprint\nData Insights Platform Querying API\nThe base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.\nUnited States Salary Range\n$152,800 - $259,200 USD\nHow GitLab Supports Full-Time Employees\nBenefits to support your health, finances, and well-being\nFlexible Paid Time Off\nTeam Member Resource Groups\nEquity Compensation & Employee Stock Purchase Plan\nGrowth and Development Fund\nParental Leave\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.","company":"GitLab","rawCompany":"gitlab","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T14:50:39.159Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager, Data Foundations","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\nFortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.\nAn overview of this role\nAs Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab.\nWe are looking for a leader who can leverage AI to drive non-linear productivity gains across the platform, accelerating our ability to deliver value to our customers.\nWe’re looking for someone with deep distributed systems knowledge. You’ll need to be comfortable going well beyond people management and into the architecture of high-throughput, multi-component data systems: ingestion, buffering, enrichment, replication, storage, querying, backpressure handling, isolation, and production operations across multiple deployment models.\nYou’ll partner closely with Product, Design, Infrastructure, Data, and other Engineering teams to evolve a platform that lives inside the product, keeps external services to a minimum, and runs across GitLab.com, Dedicated, Self-Managed, and Cells-based deployments.\nIn addition to Data Insights Platform, this role will take on classic search scope as the team joins the Data Foundations organization. You’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact.\nYou’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact.\nIn this role, you’ll balance technical guidance with people management. You’ll hire, coach, and develop engineers while also helping drive architecture and execution across a platform built around stateless ingesters, Siphon CDC replication, NATS/JetStream buffering, enrichment pipelines, ClickHouse-backed storage, and a Query API that interfaces with the GitLab Rails monolith.\nIn Data Foundations, we build the engineering systems that make platform data reliable, scalable, and available to product teams across GitLab, and you’ll help guide that work.\nWhat you’ll do\nHire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results.\nPartner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives such as Siphon, Query API integrations, classic search initiatives, and self-service reporting foundations.\nOwn delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness, with clear accountability for roadmap milestones and delivery outcomes.\nGuide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying, and shape architecture choices on sharding, partitioning, component-specific scaling, failure recovery, and tenant isolation across SaaS, Dedicated, self-managed, and Cells deployments, with a strong focus on reliability, throughput, operability, and maintainability.\nHelp the team design safe and scalable integrations with the GitLab monolith, including gRPC/Protobuf-based query paths and clear ownership boundaries between DIP and product teams building user-facing GraphQL or REST endpoints.\nDrive a high bar for security, privacy, and governance in how platform data is handled, including authentication, authorization, encryption, and safe handling of data with different privacy classifications.\nImprove operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments, with a focus on improving availability, throughput, latency, and time to recovery.\nCollaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation.\nLead the design and evolution of the platform with a focus on modular architecture, ensuring systems are extensible and ready for AI-driven integrations.\nWhat you’ll bring\nExperience managing platform, infrastructure, or data systems teams at scale, with a track record of building high-performing, values-aligned teams.\nDeep distributed systems expertise, including strong judgment on service boundaries, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and operating multi-component systems in production.\nStrong technical background in backend and platform engineering, with the ability to guide architecture for high-throughput event pipelines and data systems.\nExperience with technologies and patterns relevant to this space, such as change data capture, event streaming or messaging systems, OLAP data stores, query-serving layers, and service-to-service APIs.\nAbility to hire, develop, and coach team members while still contributing technical guidance on complex architecture and delivery tradeoffs.\nStrong cross-functional collaboration skills, especially when ownership is split between platform teams and feature teams consuming common infrastructure or APIs.\nExperience building or operating systems across multiple deployment models, with sound judgment about the tradeoffs between GitLab.com, Dedicated, self-managed, and cell-based environments.\nStrong written communication skills and the ability to work effectively in an all-remote, asynchronous environment.\nFamiliarity with search, indexing, and query-serving systems is a strong plus.\nA deep passion for reliability, customer outcomes, and engineering and operational excellence, with a proven track record of instilling these values in high-performing teams.\nAbout the team\nIn Data Foundations, we enable customers to self-serve reporting with scalable architecture. Our vision is to build a comprehensive dashboards-as-a-service framework that uses AI and relies on scalable data infrastructure.\nData Insights Platform is one of our central initiatives, and we play a key role in advancing self-service reporting across GitLab. This is the foundational layer every reporting and intelligence surface at GitLab depends on — from product dashboards to Software Engineering Intelligence to the GitLab Knowledge Graph.\nIn addition to Data Insights Platform, the team’s scope will include classic search as part of the broader Data Foundations organization.This brings together foundational analytics and search capabilities that help customers generate insights from product data and find relevant information across GitLab.\nWe partner closely with product teams to turn DIP’s real-time insights, Postgres-to-ClickHouse replication, event routing, and downstream exports into dashboards, agent experiences, and customer-facing reporting.\nThe scale expectations are real: we handle very large event volumes, with current and projected usage in the hundreds of millions of events per day.\nFor more on how we work, see:\nPlatform Insights Group\nData Insights Platform architecture blueprint\nData Insights Platform Querying API\nThe base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.\nUnited States Salary Range\n$152,800 - $259,200 USD\nHow GitLab Supports Full-Time Employees\nBenefits to support your health, finances, and well-being\nFlexible Paid Time Off\nTeam Member Resource Groups\nEquity Compensation & Employee Stock Purchase Plan\nGrowth and Development Fund\nParental Leave\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.","datePosted":"2026-08-03T14:50:39.159Z","dateModified":"2026-08-03T14:50:39.159Z","hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49bfe4afbbc99de14be6b9d7"},"url":"https://jobsearcher.com/jobs/49bfe4afbbc99de14be6b9d7"}}