• Manage and oversee multiple capital projects from their inception through their completion simultaneously • Assist in developing capital project plans • Focus on building construction and infrastructure improvement projects • Experience in multiple trade management on large construction sites • Coordinate and develop a clear project scope and cost estimate in conjunction with the proper teams • Communicate effectively with Operations, Quality, Tech Services and other internal teams to ensure that project design and layout is satisfactory and timelines are met • Source, develop and maintain strong working relationships with contractors, vendors and suppliers • Create and read Process and Instrumentation Drawings for projects • Provide awareness of new processes and equipment in order to reduce cost and promote efficiencies within the operation • Provide assistance to the operations group when directed in the area of Repairs and Maintenance costs and preventative maintenance programs • Assist and provide technical support in the area of energy savings and effluent reduction within the plants • Understand federal, state and local regulations pertaining to the dairy industry, which covers equipment, structural requirements and environmental (e.g. building codes and structural requirements, 3A, OSHA, NFPA) • Enforce the Company’s policies and programs with contractors and vendors • Travel will be expected up to 80% of the time • Perform other duties as required

• Lead the roadmap and execution for the Geo product serving Self-Managed customers, setting clear direction in close partnership with the team’s Product Manager. • Hire and develop a high-performing engineering team where members can thrive and deliver with quality and speed; the team is India-anchored, with EMEA backend/fullstack hiring to improve timezone overlap. • Own the reliability, correctness, and performance of Geo replication as the core layer underpinning disaster recovery for Self-Managed deployments. • Deliver bug fixes, API extensions, and new capabilities to the shared Geo codebase, maintaining relationships with the Geo SMEs embedded in the Dedicated Migrations and Resilience teams so day-to-day commits resolve quickly. • Build and maintain runbooks, guardrails, and reviews so the team operates with rigor; ensure high-quality, timely responses to Geo-related escalations from Support and internal partners. • Define, track, and report on delivery and operational metrics, using them to drive continuous improvement. • Participate in the Incident Management on-call rotation to help ensure availability goals for Geo are met, working with reliability engineers and development team members.

• Lead a team of senior and principal product managers across Continuous Integration, Artifact Management, Continuous Deployment, and Observability, providing strategic direction, coaching, and support. • Define the product strategy and long-term vision for GitLab's Agentic Software Delivery portfolio, with a clear point of view on how AI is changing software delivery workflows. • Connect portfolio decisions across build, package, deploy, and monitor experiences so the customer journey is coherent across the platform. • Collaborate with engineering leadership on platform investments, architectural direction, and trade-offs across the portfolio. • Drive pricing, packaging, and go-to-market alignment with product marketing, sales, pricing, customer success, and solutions engineering to support commercial growth across the portfolio. • Use customer insight and product data, including usage telemetry, retention signals, and adoption patterns, to guide roadmap prioritization and improve product adoption and retention. • Champion migration and adoption paths that help existing customers move from current workflows to more advanced CI/CD and AI-enabled delivery models, increasing adoption across the platform. • Model AI-native product management by using AI tools for discovery, synthesis, prototyping, roadmap exploration, and product concept development, while guiding the team to do the same.

• Define the multi-horizon roadmap for GitLab's data analytics and insights platform, balancing immediate customer needs with long-term platform investment and setting clear success measures for roadmap delivery and customer adoption. • Partner with engineering leaders to shape core platform capabilities, including data pipelines, storage, and APIs, that support analytics experiences across GitLab. • Collaborate with the Knowledge Graph product team so insight experiences are powered by connected, cross-lifecycle data rather than isolated project metrics. • Design a tiered analytics experience that meets customers where they are: conversational AI discovery for a fast answer, out-of-the-box dashboards for recurring needs, and custom dashboard creation for teams that want full control. Reduce time to insight as customers grow. • Prioritize dashboards and insight workflows for software leaders so they can measure deployment frequency, cycle time, value stream management, AI feature impact, and AI cost and ROI in GitLab. • Champion the needs of engineering leaders and executive users, translating how they actually consume data, often live in a meeting under time pressure, into product decisions and roadmap priorities. • Enable internal teams such as sales, customer success, and data engineering to build, share, and use dashboards that support customer-facing work and improve the speed and consistency of customer reporting. • Drive a clear and consistent analytics narrative across product, marketing, and analyst conversations through close cross-functional partnership, improving launch readiness and market understanding.