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

As a Software Engineer at Espresso, you will design and implement core blockchain infrastructure in Rust, focusing on transaction processing and consensus.

Drive DeFi ecosystem growth for stETH and stVaults by building partnerships, conducting outreach, managing account lifecycles, coordinating integrations, sourcing incentives, and converting opportunities into measurable adoption.

The Sales Engineer will develop sales strategies, conduct technical presentations, design demos, and serve as a liaison between sales and product teams, enhancing customer engagement in facility management solutions.

The Director of AI Transformation coordinates AI initiatives, ensuring successful implementation and adoption while driving value for clients through agile methodologies and innovative content workflows.

Lead platform engineering to improve cloud infrastructure, Kubernetes, IaC, CI/CD, secrets, observability, and production guardrails. Build internal developer tooling, harden access controls, improve operational readiness, and define pragmatic platform standards to enable secure, reliable, high-velocity releases.

Lead web and campaign content strategy and execution for fraud and identity topics. Own editorial calendar, write and optimize web pages, blogs, landing pages, and emails, manage freelancers, publish in HubSpot, collaborate with design and growth teams, and measure and iterate on content performance to drive traffic and conversions.

Manage relationships with students and families while ensuring tutoring programs succeed. Drive growth through consultative sales and achieve monthly revenue goals.

The Partnerships Manager will develop partnerships, drive referrals, manage the full partner cycle, and build relationships with executives.

The Solutions Consultant at Mach9 will leverage geospatial expertise to assist clients in adopting and integrating Mach9 software into their workflows, enhancing efficiency in 3D mapping and data delivery. Responsibilities include conducting technical demonstrations, onboarding customers, and serving as a trusted advisor to ensure effective use of the software.

Develop and deploy end-to-end machine learning solutions, collaborate with cross-functional teams, and implement MLOps frameworks while monitoring model performance in production.