Top Tech Jobs & Startup Jobs in Charlotte, NC

Drive enterprise sales growth across California by managing strategic accounts, generating pipeline, and expanding GitLab’s AI-powered DevSecOps platform. Lead consultative sales cycles from discovery through negotiation and implementation; build C-level relationships, develop account plans, coordinate cross-functional and channel partners, forecast pipeline, analyze wins and losses, and communicate customer value through presentations and proposals.

Lead complex, end-to-end technical programs across product, engineering, data, and security teams. Translate strategic priorities into roadmaps, manage risks and dependencies, coordinate distributed teams, and align executive stakeholders. Drive AI platform, data, infrastructure, security, reliability, and enterprise adoption initiatives from inception through launch and continuous improvement while ensuring predictable execution and transparent communication.

Lead corporate endpoint security architecture with a focus on macOS, designing secure-by-default controls, automation, patching, software distribution, and security baselines across macOS, iOS, Windows, and Linux. Manage configurations through Terraform, GitOps, version control, CI pipelines, and automated rollouts. Partner with IT and security teams to improve telemetry, detection, response, auditability, and operational efficiency. Mentor engineers and serve as a senior escalation point for complex endpoint security issues in a fully remote environment.

Own preparation, review, and filing of SEC reports (10-Q, 10-K, 8-K, S-1); drive quarterly and annual reporting calendar; lead earnings release process; manage disclosure checklist and XBRL review; improve and automate reporting processes; prepare/review journal entries, reconciliations, equity rollforwards, and EPS; ensure U.S. GAAP and SOX compliance; research technical accounting issues and implement new accounting pronouncements.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Provide advanced technical support for GitLab’s largest customers, troubleshooting complex Linux, GitLab, CI/CD, infrastructure, and integration issues. Build customer relationships, resolve critical incidents, collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams, create reusable support documentation, share knowledge, and participate in hiring. The role requires strong Linux systems expertise, scripting ability, debugging skills, and familiarity with Kubernetes and serverless technologies.

Lead customer migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo. Plan replication, cutovers, network connectivity, and post-migration validation while debugging synchronization issues. Build repeatable automation, runbooks, and infrastructure validation using Terraform, Ansible, Kubernetes, and cloud platforms. Manage multiple customer engagements, advise stakeholders, communicate technical plans, and collaborate with Professional Services, Product, and Engineering teams.

Drive enterprise growth in the Seattle territory by leading complex B2B SaaS sales cycles for GitLab's AI-powered DevSecOps platform. Build C-level relationships, develop strategic account plans, coordinate cross-functional teams, manage full sales lifecycle from discovery to implementation, and drive net ARR and account expansion while contributing to forecasting and go-to-market improvements.

Lead the field organizations AI adoption by defining enablement roadmaps, identifying and piloting high-impact field use cases, driving operational scale, building field champions, and owning governance for safe, compliant AI tool adoption. Partner with product, engineering, ops, and analytics to measure impact and embed AI into day-to-day sales workflows.

Maintain an inventory of AI tools, index field use cases, track adoption and utilization, manage access requests and provisioning, ensure AI data hygiene, produce simple reporting, and create communications and micro-enablement to drive field AI adoption.