Data Engineering Lead

Gitlab

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 GitLab is seeking a VP of Data and Insights to lead the strategic vision, architecture, and execution of our enterprise data platform and analytics capabilities. Reporting to the CIO, you'll oversee a distributed team spanning data platform and engineering, analytics engineering, data governance, and data analysts embedded across business functions. This role represents a transformational opportunity to move GitLab beyond traditional dashboard development toward a truly AI-enabled, self-service data organization where stakeholders access insights on demand and data analysts focus on high-value strategic work. You'll be a trusted advisor to the executive team and a key driver of GitLab's AI journey, building the certified data foundations that power intelligent, consumption-aware decisions across the business. What You'll Do * Data Platform Strategy and Roadmap - Define and execute a multi-year strategy for GitLab's data platform, prioritizing certified datasets, clean schema architecture, and the infrastructure needed to support AI-native consumption and self-service access across the enterprise. * AI-Enabled Self-Service Analytics - Lead the transformation from analyst-dependent reporting toward AI-powered self-service models, enabling business stakeholders to perform analysis and access insights independently while freeing the data team to focus on deeper strategic work. * Data Platform Engineering Leadership - Oversee the architecture and evolution of GitLab's data engineering foundations, ensuring the team moves beyond reactive pipeline work toward scalable, AI-ready infrastructure that business functions can confidently build on. * Analytics Engineering and Semantic Layer - Drive analytics engineering practices that produce governed, well-documented, and reusable data models. Champion the shift from ad hoc dashboard production to curated data products that serve as a single source of truth. * Consumption and Usage-Based Data Strategy - Build deep expertise in GitLab's consumption and usage-based business model, ensuring the data organization can surface the metrics, trends, and signals that matter most to Revenue, Finance, and Product stakeholders. * Data Governance and Quality - Establish and maintain enterprise-wide data governance frameworks, including data quality standards, access policies, lineage documentation, and accountability structures that instill trust in GitLab's data assets. * Executive and Cross-Functional Partnership - Serve as a strategic thought partner to leaders across Sales, Finance, Product, and People, translating complex data questions into scalable answers. Build strong relationships across the e-group while ensuring the data team earns appropriate recognition for its contributions. * Team Leadership and Development - Inspire and develop a high-performing distributed team across data platform, analytics engineering, governance, and analyst functions. Foster async-first culture, set clear expectations, and build a team that is proactive, strategic, and deeply engaged with the business. * AI and Emerging Technology Adoption - Stay ahead of the curve on evolving data tooling, AI agents, and vibe-coded or curated analytics applications. Identify where emerging approaches can accelerate GitLab's data maturity and bring a point of view on what the future of data consumption looks like at scale. What You'll Bring * 12+ years of progressive data leadership experience, with 5+ years managing multi-functional data teams at high-growth SaaS companies * Deep expertise in modern data platform architecture, including experience with database schemas, certified datasets, and the tooling and practices that enable AI-ready data infrastructure * Proven track record driving self-service analytics transformation, moving organizations away from analyst bottlenecks toward scalable, AI-enabled data consumption models * Strong understanding of consumption and usage-based business models and the data complexity they introduce, including usage tracking, metered billing, and the metrics that drive recurring revenue businesses * Experience leading analytics engineering functions, including dbt, semantic layers, or similar approaches to building governed, reusable data models at scale * Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and People functions, with strong executive presence and business acumen * Track record of developing and retaining high-performing distributed teams in fully remote, async-first environments * Strategic thinker with an unconventional point of view on where data and AI are heading, and the technical depth to distinguish signal from noise when evaluating new approaches   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.

Ziprecruiter

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission:  To actively connect people to their next great opportunity.  Who We Are:  ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. About the Team: Jobs change lives - ask any one of our millions of job seekers we serve and you’ll no doubt get a similar answer. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. Our team works on applications at scale, serving millions of job seekers. We’re building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we’re adding software engineering leaders to our team.  Our business is complex and we’re looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team’s/tech stack’s health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. About the Job: * Own the mission, execution, morale, and code quality of your team * Partner effectively with product managers to maintain and execute against the product roadmap * Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively * Actively build community and culture throughout the engineering organization * Continually develop, coach, motivate, and improve your team, leading by example * Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas Minimum Qualifications: * 6+ years of experience in a fast-paced software development environment at scale * Experience leading or managing a software engineering team * Hands-on coding experience in a professional setting * Experience developing high traffic full stack web or data applications Preferred Qualifications: * BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field * 3+ years of engineering management experience  * Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you’ll enjoy: * Competitive compensation * Exceptional benefits package * Flexible Vacation & Paid Time Off * Employer-matched 401(k) plan  The US base salary range for this full-time position is $180,000 - $250,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Gitlab

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. About the role Senior Engineering Managers at GitLab own outcomes for a defined engineering domain, build and grow the team that delivers them, and are trusted to operate with significant autonomy against a clear mandate. This Senior Engineering Manager role focuses on driving non-linear productivity by building and leading a small, hand-picked team of engineers who find and fix the highest-leverage friction points in GitLab's own SDLC. Rather than incremental team management, this is a 0 to 1 team-building mandate. You will personally recruit 4 exceptional engineers, define how they work, and drive them through a root-cause, shift-left approach to engineering productivity, measured in system-level metrics (MRPM, pipeline success rate, pipeline latency), not story points or activity. You will act as a bridge between the pilot squad, engineering managers whose teams are affected by friction points, and leadership, ensuring the team's fixes deliver durable, measurable value before any of it is proposed as a permanent function. This role reports to a VP-level engineering leader. What you'll do Vision & Strategy * Define and continuously refine the operating model for the non-linear productivity pilot: what "friction" means, how it's diagnosed, and how fixes are prioritized against the three system-level metrics. * Identify and prioritize non-linear productivity opportunities (step-change fixes rather than incremental gains) across the SDLC, including flaky tests, review latency, pipeline reliability, tooling gaps, and context loss for both human and agentic contributors. * Translate an intentionally broad, ambiguous mandate ("find the friction, fix it at the root") into a concrete, time-boxed roadmap with defined milestones for a 3-month pilot window. Team Building & Leadership * Personally source, evaluate, and select 4 exceptional engineers for the pilot squad. You own this hiring bar directly rather than delegating it to a pipeline. * Negotiate allocation models (100% vs. partial/dual-hat) with each engineer's current EM, balancing team commitments against the pilot's needs. * Set the technical direction and working norms for a small, fast-moving team: how work is scoped, how decisions get made, and how progress gets reported. * Mentor the engineers on this team in root-cause diagnosis and shift-left thinking, raising the bar for rigor versus reaching for the nearest patch. Deep Technical Exploration & Experimentation * Lead hands-on investigation to instrument and baseline the three top-level metrics (MRPM, pipeline success rate, pipeline latency) so the org has an honest starting point before any fix is proposed. * Diagnose the highest-leverage friction points dragging each metric down, and validate hypotheses with real data before committing team time to a fix. * Design and implement fixes that compound, including shift-left quality changes, tooling investment, and better context and interfaces for both humans and agents, rather than one-off patches. * Stay hands-on enough to review architecture, dig into pipeline internals, and unblock the team on hard technical problems directly. Internal Adoption & Non-Linear Productivity * Own a small set of high-impact friction areas as pathfinders, driving each from diagnosis through fix to measurable metric movement. * Work directly with affected engineering teams to ensure fixes are trusted, adopted, and don't quietly get reverted or worked around. * Track and report metric movement honestly, including when a bet didn't pay off. * Capture and codify reusable patterns and playbooks so that fixes validated by this team can be adopted org-wide with minimal friction. Operations, Risk & Enablement * Set a cadence for reporting impact back to EM peers and leadership, framed around metric movement rather than activity. * Ensure the pilot's fixes degrade gracefully and don't introduce new reliability risk into CI/CD systems that other teams depend on. * Help define what "graduation" from pilot to permanent function looks like, and build the case (or the honest counter-case) based on results. What you'll bring General * Track record leading small, high-autonomy engineering teams, ideally in developer productivity, CI/CD, platform, or infrastructure reliability, measured on system-level outcomes rather than feature delivery. * Deep comfort with CI/CD and build systems. You understand why pipelines flake, why they're slow, and what actually moves success-rate and latency numbers versus what just feels like progress. * Demonstrated root-cause instinct and a bar for talent over headcount: you'd rather run understaffed than fill a seat with someone good-enough. * Comfort operating under metrics-driven accountability, including publicly baselining a number and reporting honestly against it. * Strong executive-level communication. This pilot has direct visibility to engineering leadership. Nice to have * Experience with agentic or AI-assisted development workflows, and a view on where human/agent friction shows up differently than pure human friction. * Prior experience running a defined-window pilot or 0 to 1 initiative with explicit success criteria. * Familiarity with GitLab's own CI/CD internals, or equivalent depth on another large-scale build/test system. 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 $190,000—$245,000 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.