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

Manage and execute pharma marketing projects from kickoff to delivery. Build and own timelines, track milestones/dependencies/risks, coordinate cross-functional teams, run meetings, maintain documentation and trackers, monitor budget burn and scope, and escalate issues to keep projects on workflow and on schedule.

Serve as senior strategic lead across a portfolio of client accounts, designing full-funnel, multi-channel media strategies, aligning measurement frameworks (MTA, MMM, incrementality), guiding budget and audience strategy, leading executive client engagements, driving retention/revenue/profitability, mentoring teams, and partnering with analytics, creative, and business development to operationalize test-and-learn roadmaps and integrated execution.

Manage content strategy and execution for 2–5 clients, driving measurable outcomes across organic search, AI-powered search experiences, and integrated campaigns. Collaborate with SEO, Paid Media, Social, PR, Design, and Analytics to develop testing roadmaps, briefs, and performance-driven creative. Present insights to clients, optimize creative across platforms (Meta, TikTok, YouTube, Amazon, Programmatic), and improve efficiency through tools and automation. Occasional travel (1–3 times/year).

Design and own UX/UI across VibeIQ’s collaborative apps. Create flows, wireframes, prototypes, and high-fidelity designs. Partner with product and engineering to define problems, contribute to the design system, run design reviews, and improve complex workflows. Explore AI tooling to enhance design workflows and help shape the growing design function.

Embed with strategic customers to scope, build, and deploy complex integrations, backend services, and data pipelines that connect enterprise systems (data lakes, IdP, PLM, ERP) to CoLab. Own delivery from discovery to production, collaborate with product, design, engineering and customer teams, drive adoption, and feed learnings back to the product.

Provide Tier 1 support for a suite of SaaS products via phone, email, chat and ticketing. Troubleshoot and resolve customer issues, escalate bugs to development, contribute to knowledge base content, and collaborate cross-functionally to improve support processes and customer outcomes.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

Lead day-to-day SOC operations, manage and coach SOC analysts, serve as Incident Commander for major incidents, enforce playbooks and QA, drive SLA performance and KPI reporting, and implement process and tooling improvements to mature SOC capabilities in a 24x7, shift-based managed services environment.

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.

Support a refrigerated food manufacturer as an individual contributor by analyzing retailer, POS, and household panel data, delivering actionable insights and presentations, managing multiple projects, and building strong client relationships to drive data-informed business decisions and growth.

Lead business development and custom solution analysis for strategic CPG accounts. Translate large POS, shopper, supply chain, and consumer datasets into actionable insights, drive client growth, collaborate with internal teams to deliver integrated solutions, and ensure client success through consultative relationships and analytics-driven recommendations.

Build and maintain data infrastructure, integrate veterinary partner systems, develop dbt models and pipelines, provide analytics modeling, testing, reporting, and deliver actionable insights to customers and internal teams.