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

Design, build, and optimize AI-driven customer success automations using no-code/low-code tools and LLM APIs. Identify use cases across the customer lifecycle, integrate solutions with enterprise platforms, apply prompt engineering and RAG patterns, monitor performance, and collaborate cross-functionally to scale AI-enabled workflows while maintaining responsible AI practices.

Create and maintain knowledge bases and context pipelines, build and ship LLM-powered agents and AI tooling, produce technical content for developers, and design docs-as-code systems to keep docs and agent context up-to-date.

Own technical relationships for 25–40 mid-to-large customers, ensure retention and growth by troubleshooting issues, advising on configuration, managing escalations, handling commercial renewals, and feeding product feedback to internal teams.

Own a pooled book of ~1,000 paying accounts using signal-driven prioritization to drive expansion, credit conversions, cross-sell, and retention. Build playbooks, provide product intelligence to product teams, refine the signal engine, and create scalable outreach content. Focus on accounts in the $500–$1,667 MRR band, intervene on declining usage, and hand off accounts that qualify for high-touch TAMs.

Create and scale GTM and sales assets (decks, one-pagers, battlecards), use AI to accelerate content production, maintain the field asset library, translate portfolio messaging for audiences and segments, localize and tailor content for deals and campaigns, run PMM intake and triage, and partner with solutions, sales engineering, and ops to ensure field-ready launches and accurate, up-to-date materials while complying with security and information access policies.

Lead and own hardware engineering: define strategy and roadmaps, manage full hardware lifecycle (IoT, CV, POS, KDS), drive R&D and edge compute platforms, manage procurement/OEM/vendor relations, ensure QA, regulatory compliance, hardware security, and cross-functional alignment.

Design and develop learner-centric Ethics & Compliance curricula and materials, lead client discovery, collaborate with SMEs and cross-functional teams, apply AI and proprietary authoring tools, manage multiple projects and vendors, and measure learning impact using analytics.

Lead HR strategy and operations: employee relations, conflict resolution, performance management, onboarding, pay equity audits, training, policy compliance, and HR reporting. Partner with executive leadership and board to align HR with organizational goals and maintain confidential personnel records.

Lead planning and real-time execution of AP Reading operations for assigned subjects. Manage Reader deployment (onsite and at-home), staffing, prompt coverage, vendor coordination, site logistics, and issue escalation. Direct 1-2 analysts, monitor scoring performance, produce reports, and drive continuous improvement to meet throughput, quality, and completion targets.

Lead site-wide logistics and vendor readiness for the annual AP Reading. Design execution models, establish operating standards and runbooks, oversee live operations and escalations, coordinate cross-track partners, secure multi-year site assets, and develop the Site Logistics & Execution leadership team to ensure reliable, scalable scoring operations.

Lead technical design and implementation of client-side security protections for Bluebook across Windows, macOS, iPad, and ChromeOS. Provide hands-on coding (native and web), guide architecture and testing, mentor teammates, run mob programming, resolve complex production issues, and drive engineering standards, AI-augmented practices, and cross-team collaboration to build resilient, production-grade security solutions.

Administer and maintain VA enterprise infrastructure: Windows/Linux servers, VMware hosts, storage and backup systems. Perform patching, backups/restores, provisioning, troubleshooting, SCCM testing, incident response, documentation, and occasional after-hours/on-site support to ensure availability, security, and recoverability for 35,000+ users.

Year-long apprenticeship to train entry-level candidates in AI, data engineering, cloud, and software development through structured learning, hands-on projects, mentorship, and industry certifications. Apprentices work on data engineering, cloud modernization, generative AI/LLM projects, and internal automation while learning responsible AI, data governance, and consulting skills, then transition into full-time STS roles.

Write and manage integration and regression test cases, build and maintain testing infrastructure, automate testing using AI tools, collaborate with cross-functional teams, ensure scalability, performance, and security, and participate in code reviews to maintain high code quality.