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

The role involves prospecting new leads, qualifying inbound requests, organizing sales leads, developing customized pitches, and working with Account Executives.

The Advertising Sales Executive will engage with local business owners to sell advertising, foster relationships, and gather community content. This role emphasizes a consultative sales approach, benefiting from a flexible and entrepreneurial environment.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Conduct high-volume outbound prospecting through calls, email, and SMS to identify and qualify dealership leads. Manage the top of the sales funnel, reactivate lapsed dealerships, document activity in the CRM, meet performance KPIs, and deliver product pitches and mini-demos. Work remotely while developing product and industry expertise and converting prospects into active marketplace users.

Build and maintain Python automations and multi-system integrations for 401(k) administration. Responsibilities include developing API and webhook integrations, managing production jobs, troubleshooting errors, refactoring legacy code, deploying projects, improving logging and code quality, documenting processes, and collaborating with business users, vendors, and IT. The role requires ownership of automation projects from discovery through production and focuses on resilient, scalable workflow improvements.

Leads a global Learning and Enablement team, modernizing workflows through AI, automation, learning technology, and operating model redesign. Partners with leaders to diagnose capability gaps, shape learning strategy, manage enterprise initiatives, and improve scalability, quality, and consistency. Oversees instructional designers and learning specialists, builds team capabilities, evaluates emerging learning solutions, and establishes standards, workflows, tools, and performance measures across a distributed organization.

Lead enterprise adoption of Agentic AI across Genesys Cloud, designing scalable architectures, integrations, data flows, proofs of concept, and production solutions. Translate business objectives into measurable customer experience and operational outcomes, advise executive stakeholders, optimize AI solutions after launch, and promote responsible AI practices involving security, privacy, HIPAA, and PCI compliance.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Designs and supports enterprise DevOps tooling, including Jenkins, Bitbucket, and JFrog Artifactory. Responsibilities include disaster recovery, repository and artifact governance, open-source dependency security, DevSecOps controls, technical documentation, and platform migration support. The role also promotes AI tool adoption, provides project oversight, mentors colleagues, and works collaboratively with clients and engineering teams.

Manages the structuring, pricing, execution, and settlement of HMBS pools. Responsibilities include loan bidding, pricing, trade execution, market-risk monitoring, reporting, financial modeling, pool delivery, settlement coordination, and maintaining automated SQL, Python, VBA, and Power Automate workflows. The role supports liquidity, profitability, regulatory compliance, and secondary-market operations while collaborating with treasury, accounting, operations, investors, and counterparties.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.