
Stripe · Remote
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most a...
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the
most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission
is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented
opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
We are a brand new team working quickly to accelerate Stripe's engineering productivity by effectively deploying LLM agents and
tools to automate large swaths of the engineering workflow. We're a cross-continent team spanning North America and Europe, filled
with high-agency engineers with strong product perspectives.
What you'll do
We are looking for a hands-on Engineering Manager who can effectively lead a team of high-agency engineers to move quickly in a
rapidly evolving technology space. You'll help set product direction in a field with a nearly endless solution space. People
passionate about great products, user experience, and with strong opinions about how engineers do their best work will excel in
this role. Prior experience deploying AI developer tools isn't required, but is a plus.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you
are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
difficult decisions and trade-offs
Preferred qualifications
forums
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. The 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. *Fortune 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. AN OVERVIEW OF THIS ROLE The Engineering Manager on the Duo Chat team helps shape the core AI capabilities behind GitLab Duo Chat, so customers can work faster and more securely across the GitLab DevSecOps platform. In this role, you will manage a team of engineers building AI-powered product experiences that span the software development lifecycle, while staying close to the technical work that informs strong engineering judgment. You will play a key role in how the team delivers scalable, reliable, and high-quality AI features, from roadmap execution to stronger testing, performance, and developer clarity. Some examples of our projects: * Extend capabilities of the Duo Agent Platform agentic chat regarding agentic capabilities, UI and context management * Integrate new agentic generative AI models and providers into GitLab Duo Chat to expand capabilities and improve answer quality * Improve debugging, observability, and test coverage for AI-powered chat workflows to maintain reliability at scale WHAT YOU’LL DO * Manage a team of experienced frontend, backend, and AI engineers to deliver GitLab Duo Chat roadmap commitments across the DevSecOps lifecycle. * Partner with product and UX teams to define requirements and deliver AI features that address customer needs and improve answer quality. * Participate in technical architecture and development work for systems that run AI agents at scale, with a focus on reliability, performance, and maintainability. * Guide day-to-day execution by setting clear direction, tracking progress against milestones, and removing blockers to keep delivery on schedule. * Coach engineers through feedback, guidance, and development conversations that foster each engineer's growth and overall team performance. * Promote a team culture grounded in curiosity, inclusion, accountability, and steady delivery against team goals. * Improve quality, testing, and performance practices that increase coverage, strengthen observability, and keep AI-powered chat workflows reliable in production. WHAT YOU’LL BRING * Experience managing engineering teams in a distributed environment and enabling strong team execution. * Strong software engineering foundation with the ability to contribute to technical discussions and evaluate engineering tradeoffs. * Hands-on familiarity with agentic AI or generative AI applied to software development workflows. * Ability to work effectively through ambiguity, changing requirements, and fast-moving product development. * Clear communication and collaboration skills across engineering, product, design, and other stakeholders. * Dedication to coaching engineers and creating an inclusive, constructive team environment. * Comfort balancing people management with technical involvement in day-to-day development. * Openness to transferable experience from different technical backgrounds if it aligns with managing AI-powered product teams. ABOUT THE TEAM We are part of GitLab's AI Engineering organization and own the AI-powered chat experience embedded across the GitLab platform. We include backend, frontend, and AI specialists who work asynchronously across time zones using issues, merge requests, and documentation as core collaboration tools. Our focus is to expand generative AI capabilities, improve the performance and reliability of chat workflows, and strengthen the debugging and testing foundations needed to enable AI features safely at scale. For more on how we work, see the Team Handbook Page. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please 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. ---------------------------------------------------------------------------------------------------------------------------------- Country 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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab 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.
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. The 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. *Fortune 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. AN OVERVIEW OF THIS ROLE As 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. We 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. We’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. You’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. In 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. You’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact. In 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. In 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. WHAT YOU’LL DO * Hire, 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. * Partner 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. * Own 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. * Guide 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. * Help 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. * Drive 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. * Improve 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. * Collaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation. * Lead the design and evolution of the platform with a focus on modular architecture, ensuring systems are extensible and ready for AI-driven integrations. WHAT YOU’LL BRING * Experience managing platform, infrastructure, or data systems teams at scale, with a track record of building high-performing, values-aligned teams. * Deep distributed systems expertise, including strong judgment on service boundaries, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and operating multi-component systems in production. * Strong technical background in backend and platform engineering, with the ability to guide architecture for high-throughput event pipelines and data systems. * Experience 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. * Ability to hire, develop, and coach team members while still contributing technical guidance on complex architecture and delivery tradeoffs. * Strong cross-functional collaboration skills, especially when ownership is split between platform teams and feature teams consuming common infrastructure or APIs. * Experience building or operating systems across multiple deployment models, with sound judgment about the tradeoffs between GitLab.com, Dedicated, self-managed, and cell-based environments. * Strong written communication skills and the ability to work effectively in an all-remote, asynchronous environment. * Familiarity with search, indexing, and query-serving systems is a strong plus. * A deep passion for reliability, customer outcomes, and engineering and operational excellence, with a proven track record of instilling these values in high-performing teams. ABOUT THE TEAM In 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. Data 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. In 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. We 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. The scale expectations are real: we handle very large event volumes, with current and projected usage in the hundreds of millions of events per day. For more on how we work, see: * Platform Insights Group * Data Insights Platform architecture blueprint * Data Insights Platform Querying API The 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. United States Salary Range $152,800—$259,200 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please 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. ---------------------------------------------------------------------------------------------------------------------------------- Country 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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab 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.
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. The 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. *Fortune 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. AN OVERVIEW OF THIS ROLE As Engineering Manager, Growth at GitLab, you’ll focus on building and enabling a high-performing team that helps users discover, activate, and expand value in GitLab. Growth’s mission is full-funnel: linking acquisition, activation, engagement, retention, and monetization into measurable self-serve loops, while using experimentation to improve how users experience the product. Your primary focus will be to hire, coach, and develop team members, and to create an environment where they can do their best work while delivering strong results. You’ll partner closely with Product, Design, Data, and Engineering stakeholders to translate business goals, user journey insights, and experiment learnings into product improvements that help users realize value faster. You will foster a culture that challenges the status quo and leverages AI-native experimentation to find innovative solutions for our users. You and your globally distributed team will work in an agile and asynchronous way, working across GitLab to run experiments on GitLab.com, improve onboarding and discoverability, and streamline the paths that connect users to existing product value. Growth teams work iteratively, operate across product areas, and use experimentation to make data-informed product choices. In this role, you’ll balance technical guidance with people management. You’ll guide architecture and implementation discussions, help the team navigate tradeoffs, and ensure experiments and product changes are built carefully, measured well, and aligned with long-term product ownership. Because Growth often works across product boundaries, you’ll also help your team work effectively with counterpart groups and smoothly hand off or scale successful work where ongoing ownership belongs elsewhere. Some examples of our projects: * Improving signup, onboarding, and activation experiences to help new users get to value faster * Running experiments and A/B tests on GitLab.com to improve discoverability, conversion, engagement, and upgrade flows WHAT YOU’LL DO * Hire, guide, and enable a high-performing Growth engineering team, creating an environment where GitLab team members can do their best work and deliver strong results. * Partner closely with Product Managers, Product Designers, Data counterparts, and other Engineering Managers to define and deliver improvements that increase user discovery, activation, and expansion of value in GitLab. * Own delivery for your team, including planning, prioritization, and execution of work across experiments and product improvements, turning learnings into measurable gains in conversion, engagement, and upgrade flows. * Drive Growth’s operating model by guiding experiment ideation, ICE-based prioritization, hypothesis development, and review of results so the team can scale winning changes and stop low-impact work quickly. * Guide the technical design and implementation of experiments and growth-oriented product changes, ensuring they are measured well and tied to activation, conversion, and retention outcomes. * Work across Growth and other stage groups when work touches areas owned by other teams, helping your team move quickly while maintaining strong partnership and clear ownership boundaries. * Dive into technical discussions and reviews, helping unblock complex issues and translating technical and experimental tradeoffs into clear context for technical and non-technical stakeholders. * Foster strong async communication and healthy cross-functional operating rhythms with Product, Design, Analytics Instrumentation, Data, Customer Success, Sales, and other Growth counterparts to improve experiment execution and business outcomes. * Drive the adoption of AI-native experimentation and workflows, actively identifying creative opportunities to use AI to accelerate user value delivery. WHAT YOU’LL BRING * Experience managing product, growth, or development teams, with a track record of building high-performing, values-aligned teams. * Strong technical background and the ability to guide fullstack engineering work, architecture discussions, and pragmatic delivery in a product environment. Growth teams use fullstack engineering to move efficiently across frontend and backend needs. * Experience working closely with Product, Design, and Data to deliver measurable outcomes through iteration, experimentation, and continuous improvement. * Strong cross-functional collaboration skills, especially in environments where work spans multiple product areas and stakeholder groups. * Comfort working in a data-informed environment, including prioritizing opportunities, evaluating experiment results, and helping teams make clear, evidence-based choices. * Ability to deep dive into complex technical and product issues and translate them into clear, actionable language for both technical and non-technical audiences. * Experience managing remote, globally distributed teams and working effectively in an all-remote, asynchronous environment. * Experience with developer tools and product-led growth, and the ability to model GitLab’s values while contributing to an inclusive, high-performing culture. * A demonstrated ability to challenge the status quo and creatively utilize AI-driven tools to solve complex product challenges. About the team The Growth stage is focused on scaling GitLab’s business value by assessing the customer journey from acquisition through activation, adoption, and reactivation, and by identifying the highest-ROI levers to focus on at a given moment. We are a cross-functional team that works closely with Product, Design, Analytics Instrumentation, Data, Customer Success, Sales, and other product groups. Growth does not own broad product areas in the traditional sense; instead, we help users discover and unlock value throughout the GitLab application by shipping targeted improvements directly and partnering with stage groups on larger initiatives. Our engineering teams work with a strong experimentation mindset. We run experiments on GitLab.com, use common planning and operating processes, and work asynchronously to turn learnings into better user experiences and stronger business outcomes. For more on how Growth works, see the Growth engineering and product handbook pages: * Growth Stage handbook * How the Growth section works The 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. United States Salary Range $152,800—$259,200 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please 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. ---------------------------------------------------------------------------------------------------------------------------------- Country 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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab 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.