Director, Enterprise Architecture & Intelligent Automation

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 a Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment. WHAT YOU'LL DO * Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer. * Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration. * Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value. * Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI. * Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt. * Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D. * Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions. * Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable. * Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact. WHAT YOU'LL BRING * A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them. * Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently. * AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design. * Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost. * Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when. * AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns. * Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?" * Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential. * Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. * End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently. * Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.   Preferred requirements * Experience with GitLab platform and CI/CD workflows * Background in consulting, solutions engineering, or customer-facing technical roles * Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking * Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development * Previous startup or high-growth company experience * Experience mentoring or leading technical projects with junior engineers ABOUT THE TEAM You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. 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.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. DIRECTOR, MARKETING OPERATIONS The Director of Global Marketing Operations will lead Snowflake’s global strategy, platforms, and teams that power a modern, scalable, AI-forward marketing organization. This role emphasizes scalable process design, intelligent automation, and cohesive platform architecture to deliver high-volume, world-class campaigns and stakeholder services across regions. This role requires a strong perspective on investment strategy and timing, balancing foundational system evolution with ongoing campaign execution to deliver near-term impact while building for long-term growth. The Mops Director will lead and develop a high-performing global organization and partners closely with Marketing, Sales, Finance, IT, and external agencies to ensure Snowflake’s demand engine is efficient, compliant, and built to scale. YOU’RE A GREAT FIT IF YOU: * Have 10+ years of experience in marketing operations, including 5+ years leading teams in high-growth B2B software environments * Are AI-forward, with experience applying automation, AI, and workflow orchestration to standardize processes and reduce manual effort * Have deep expertise in top-of-funnel strategy, lead lifecycle management, and conversion optimization tied directly to pipeline impact * Have managed agency and contract resources, using them strategically to extend team capacity and accelerate modernization * Have led the definition and deployment of privacy, consent, and data governance frameworks (e.g., GDPR, CCPA) * Are highly fluent in translating complex data into clear insights that drive executive decision-making * Can define global operating models, drive alignment with senior stakeholders, and land change across distributed teams * Possess proficiency and familiarity with the following systems: * Salesforce Sales Cloud administration, reporting & dashboarding * Marketo marketing automation * Outreach sales engagement administration * Snowflake * LeanData lead routing * ZoomInfo and other best-in-class data providers * Demandbase * Workato * Clay WHAT YOU’LL DO: Marketing Platforms, Data, and Agentic Marketing Practices * Own the vision and evolution of Snowflake’s marketing platforms, ensuring tools like Salesforce, Marketo, Demandbase, Clay and others operate as an integrated ecosystem * Lead the implementation of an agentic marketing ops strategy, identifying opportunities to replace manual, time-consuming work that improves the efficiency of the direct and cross-functional teams. * Audit and modernize marketing data architecture, ensuring high data quality, accessibility, and governance across all channels and regions * Partner with Marketing Intelligence to define and maintain dashboards that surface insights and inform executive decisions Process Optimization & Operational Scale * Design and standardize end-to-end processes across the lead lifecycle, from response to MQL through handoff, nurturing, and measurement. The result should be a proactive lead monitoring process that ensures lead target achievement. * Own the operational framework for Snowflake’s global email and lifecycle strategy, ensuring consistency, compliance, and scalability. Incorporate first and third party data to operationalize real-time personalization. * Drive experimentation and optimization (A/B testing, process iteration) with a focus on repeatable impact and translation of insights into deliverables. Strategic Planning and Budget Management * Manage the marketing operations budget and technology renewals, aligning resources with strategic goals and ensuring efficient use of funds. * Monitor and report on marketing performance against targets, providing insights and recommendations for improvement. * Align the marketing organization’s annual and quarterly targets with Snowflake’s sales organization, in partnership with Marketing Intelligence Team & Partner Leadership * Lead, develop, and scale a high-performing global Marketing Operations team * Manage agency and external partners as an extension of the team, with clear ownership, prioritization, and accountability to contracted agreements. * Manage change effectively, communicating and aligning on operational changes and new initiatives across the marketing organization Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com