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

Lead QA automation efforts for web applications: design, build, and maintain test frameworks (Playwright/Locust), create and run automated and manual tests, validate APIs, leverage AI/LLM tools to author, debug, and optimize tests, analyze failures, and collaborate with engineering to reduce manual effort and improve product quality.

Manage a portfolio of 60–75 mid-market customers: lead onboarding, implementation, product adoption, and renewals; monitor customer metrics and satisfaction; advocate customer needs to product and engineering; contribute to operational improvements; and apply AI tools to improve CSM workflows and outcomes.

Perform technical risk assessments and mitigation for IT systems, networks, VDI and cloud environments. Maintain and develop online infrastructure and web/software solutions, optimize virtualization and PCoIP performance, support Windows/Linux server environments, and collaborate on security, audits, training, and continuous improvement.

Perform technical risk assessments and mitigation guidance for IT systems, networks, VDI, cloud and endpoints. Maintain and develop web/online infrastructure, extract and analyze data, and support audits, training, and security improvements. Hands-on work with VMware Horizon/vSphere/ESXi/vCenter, Cisco HyperFlex, Windows AD/GPO/DNS/DHCP, Linux (CentOS/Ubuntu), Teradici/PCoIP, and collaborate with cybersecurity teams.

Perform technical risk assessments and mitigation for IT systems, networks, mobile/cloud environments; administer firewalls, NAC, VPNs, and endpoint security (including mobile emulation). Develop/maintain web and software infrastructure, security policies, and conduct regular assessments. Collaborate with cybersecurity/VDI teams, provide training/support. Requires US citizenship and active Top Secret clearance with full-scope polygraph; onsite in the Washington metropolitan area.

Lead an AI-first product area end-to-end: define roadmap, engage customers, translate needs into initiatives, measure KPIs, prototype with AI, align cross-functional teams, mentor product staff, and drive adoption, retention, and revenue in a SaaS environment.

Lead an AI-native product area end-to-end: research customers/market, define 6–12 month roadmaps, translate needs into epics, set KPIs, use AI for discovery and prototyping, align cross-functional teams, mentor product staff, and drive measurable adoption, retention, and revenue outcomes.

Lead multi-year product strategy for a fund-accounting product family, embed AI as core infrastructure, mentor product leaders, align engineering to go-to-market, drive delivery, adoption, and revenue while championing AI-assisted workflows and portfolio governance.

Serve as primary technical liaison for Workday integrations across pre-sales, sales, implementation, and post-sale. Solve client-specific integration challenges, enable sales and engineering processes, create documentation/whitepapers, and translate client business needs into technical and operational requirements.

Design and lead end-to-end AI solution architectures, ensuring scalability, security, and compliance. Translate business and regulatory requirements into technical designs, evaluate tools/platforms, document architecture standards, coordinate technical teams, and support deployment and ongoing improvements.

Develop, configure, test, and support AI solutions, implement model-enabled workflows and integrations, produce technical documentation, troubleshoot and optimize AI applications, coordinate technical tasks, and communicate progress to stakeholders to ensure reliable, maintainable solutions aligned with standards.

The Manager, Client Sales and Insights will analyze data to produce actionable insights for CPG clients, drive growth, deliver tailored solutions, and collaborate with various teams to ensure client success.

Design, build, and deliver scalable big data ETL solutions across distributed environments using Spark (PySpark/Scala), Hadoop ecosystem, Databricks, and Azure. Develop and automate ETL workflows, tune Spark jobs, integrate multiple data sources, create tests and technical designs, collaborate with Data Science, QA, and Ops, and troubleshoot data delivery issues under agile processes.

Serve as commercial finance partner to ATP business leaders; lead budgeting, rolling forecasts, P&L ownership, financial analysis, KPI reporting, and business cases; improve forecasting, drive finance transformation and automation, and influence senior stakeholders to support growth and profitability.

Lead enterprise underwriting strategy and operations, building a scalable, compliant underwriting organization. Drive performance, risk governance, cross-functional collaboration, process modernization, automation, and talent development to support multi-channel mortgage growth.

Lead enterprise-wide AI operations to embed LLMs and AI into core workflows across Editorial, Audience, Revenue, and corporate functions. Drive adoption, change management, governance, vendor rationalization, measurement of operational impact, and build enablement systems and reporting to ensure sustained organizational outcomes.

Own user attribution and acquisition analytics across paid and organic channels. Build Segment and AppsFlyer pipelines into Snowflake, write performant SQL and dbt-style models, reconcile CAC/LTV metrics, and ship Metabase dashboards. Track funnel from first touch to activation, identify drop-offs, run growth experiments, and use AI tools (Claude) to automate reporting and insights for marketing leadership.

Own Splash's growth analytics and attribution stack (AppsFlyer, Segment, Snowflake, dbt). Build attribution and LTV/CAC/payback models, maintain pipelines and reporting, drive funnel and contest analysis, reconcile ad spend to revenue, mentor junior analysts, and partner with marketing, product, and finance to inform budget and growth decisions.

Drive revenue across a named federal book by landing new agencies and expanding strategic accounts. Lead complex, multi-threaded federal sales cycles, guide technical evaluations and security reviews, build executive relationships, quantify ROI tied to developer productivity, and partner with engineering and deployment teams to deliver proofs of concept through production.