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

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Provide advanced L2 technical support for Runpod customers: troubleshoot escalated issues, analyze logs and code, use scripting and diagnostics, liaise with engineering and infra teams, create documentation and training, and deliver multi-channel support including weekend availability.

Lead end-to-end Revenue Operations for a high-growth B2B SaaS company: build GTM operating model, own forecasting and analytics, manage GTM systems (Salesforce/CPQ/marketing automation), drive AI automation, enable cross-functional alignment, and deliver executive revenue insights to scale enterprise sales.

Develop and maintain software applications on the ServiceNow platform, perform integrations, troubleshoot issues, and communicate with clients.

The Senior Solutions Engineer will provide technical expertise in pre-sales situations, conduct presentations, design customized solutions, and lead technical discussions to enhance the ServiceNow platform's value for customers.

Lead a cloud-focused full-stack engineering team to design, build, and operate scalable, high-availability web platforms and APIs. Mentor engineers, improve architecture and test coverage, ship features in React/AWS container environments, and drive observability and resilience.

Design, build, and maintain scalable full‑stack web applications in a cloud containerized environment. Improve reliability and observability, ship features, refactor codebase, and collaborate with hardware, product, and design teams while promoting testing and knowledge sharing.

Design, implement, and maintain core infrastructure and tooling to enable agentic AI development. Drive AI enablement, developer relations, training, and shared platform tooling to support engineering teams and production LLM/agent integrations.

Drive growth of sold providers and patient starts within a Mid-Atlantic territory. Own full sales cycle with aggressive outbound sourcing, in-person selling at least three days/week, relationship management within a two-hour radius, and remote strategies for other accounts. Hit quota through consultative closing, CRM management, and heavy local travel (up to 50%).

Partner with Sales, Marketing, and Revenue Operations to evaluate complex deals, build scenario-based topline forecasts, and translate financial data into clear recommendations that inform growth and GTM strategy. Own deal desk analysis, modeling, and executive communications in a fast-paced remote environment.

Lead technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.

Manage purchasing and inventory for a veterinary ecommerce and fulfillment platform: place and proof purchase orders, monitor inventory daily, perform forecasting and data analysis, coordinate with fulfillment partners, implement process improvements, run audits, report performance, and support cross-functional projects to improve purchasing efficiency.

Owns revenue operations strategy and GTM planning, including forecasting, annual planning, business reviews, incentive design, analytics, KPI dashboards, and performance insights. Partners with Finance, Product, and Operations to improve sales productivity, align headcount with revenue goals, and execute multi-quarter strategic workstreams. The role translates complex data into leadership recommendations and manages cross-functional projects in a fast-paced environment.

Lead and build a Strategic Customer Success team, design high-touch success programs and playbooks, coach CSMs into consultative executive partners, define adoption and retention metrics, synthesize account insights into product feedback, partner cross-functionally, and experiment to create a scalable strategic CS motion for a multi-product AI productivity suite.