Top Tech Jobs & Startup Jobs in Raleigh-Durham, NC

Lead the company-wide enablement strategy across Revenue, Marketing, Professional Services, Customer Success, Support, and AI teams. Build and manage the BuildOps Academy, oversee Docebo LMS governance, develop enablement programs, embed AI into content workflows, manage enablement staff, and establish KPIs tracking ramp time, certification, productivity, customer adoption, and time to value. Partner with executives and prepare progress and investment communications for leadership and board audiences.

Serve as the technical bridge between Engineering, Product Management, and field teams. Translate cloud requirements into product requirements, validate enterprise architectures and workflows, and conduct hands-on feature and integration testing. Enable post-sale implementations through documentation, solution briefs, demos, and technical guides. Advise customers and partners on cloud architecture and integrations while supporting sales engineering and professional services teams.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Design, implement, test, and maintain enterprise security architectures across data center and cloud; assess risks, identify gaps, create repeatable controls, support compliance, conduct reviews and incident response, and mentor team members.

Support the legal team by managing the contract lifecycle: draft, review, revise, and track agreements; assist negotiations; maintain contract database and key dates; perform legal research; prepare reports; coordinate stakeholders to ensure compliance and timely execution.

Own the vision and roadmap for GitLab Dedicated’s Switchboard control plane. Partner with engineering and site reliability teams to improve infrastructure operations, upgrades, maintenance, customer configuration, networking, authentication, health visibility, migrations, and incident management. Engage directly with customers, simplify complex technical workflows, prioritize across user experience and operational efficiency, and guide product decisions in an evolving problem space.

Drive enterprise sales growth across San Francisco, focusing on AI-native organizations and strategic accounts. Build executive relationships, develop account plans, orchestrate cross-functional sales teams, guide customers through complex DevSecOps transformations, and manage the full sales cycle from discovery through negotiation and implementation. Generate pipeline, expand existing accounts, forecast performance, conduct win/loss analysis, and position GitLab as a long-term technology partner for AI and software engineering organizations.

Drives full-cycle enterprise sales for GitLab’s AI-powered DevSecOps platform across strategic financial services accounts. Responsibilities include prospecting, opportunity development, negotiation, closing, account planning, stakeholder alignment, customer adoption, expansion, forecasting, and collaboration with solutions architects, customer success, support, marketing, and channel partners.

Lead Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Own product vision, strategy, roadmap, discovery, prototyping, experimentation, launch, and iteration for new products and platforms. Analyze customer behavior, define success metrics, write product content, and coordinate engineering, design, data, risk, operations, revenue, legal, and compliance teams. This hands-on role has no direct people-management responsibilities and requires strong judgment in ambiguous environments.

Counsel II will negotiate and execute diverse vendor agreements, including technology, cloud, SaaS, marketing technology, data platform, contractor, lease, and payment processing contracts. The role partners with Procurement, Finance, Engineering, Product, Information Security, Privacy, and other teams; develops legal playbooks, templates, and training; improves contracting processes; manages high deal volume; and provides practical guidance on privacy, data protection, and commercial legal matters.

Plan, deploy, configure, and optimize the Dragos Platform in customer environments, including power plants, substations, manufacturing facilities, and refineries. Collaborate with client teams on network architecture, sensor placement, integrations, upgrades, troubleshooting, and platform monitoring. Provide training, documentation, break/fix support, release walkthroughs, and feedback collection while coordinating with sales, threat intelligence, and threat hunting teams.

Owns end-to-end quote-to-cash and renewal operations in Salesforce CPQ, including deal structuring, pricing governance, approvals, contract validation, order accuracy, and revenue alignment. Partners with Sales, Finance, Legal, Customer Success, and Revenue Operations to protect revenue integrity, reduce errors, support audits, and improve processes, integrations, and automation in a fast-paced SaaS environment.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Own product strategy and outcomes for AI-powered physical-operations solutions. Conduct customer discovery, identify high-impact problems, prototype and ship AI-enabled products, collaborate across hardware, software, and AI teams, and drive measurable customer and revenue impact.

Lead product development for AI-powered physical operations solutions. Responsibilities include identifying customer problems, prototyping and shipping AI-enabled products, collaborating across hardware, software, and AI teams, and owning customer impact and revenue outcomes. The role is remote within the United States and requires strong product judgment, commercial instincts, customer focus, ownership, and comfort adapting to rapidly evolving AI capabilities.