Top Artificial Intelligence Jobs in Pittsburgh, PA

Manage a portfolio of multi-location and franchise clients as their primary contact. Onboard users, advise on cross-channel paid media strategy, run performance-driven campaign and business reviews, partner with technical teams to optimize delivery, identify expansion opportunities, and represent client needs internally. Educate clients on best practices and translate performance data into clear narratives and recommendations.

Hiring across multiple sales functions for SugarAI: account executives (SMB to enterprise), customer success, channel sales, business development, and solution consulting. Roles focus on driving revenue, managing and growing customer relationships, qualifying and closing opportunities, enabling partners, and collaborating cross-functionally to deliver AI-driven CRM solutions. Candidates should demonstrate impact, ownership, and ability to thrive in a collaborative, fast-moving environment.

Lead product vision and roadmap for Tekion's Automotive CRM, translate dealer and partner needs into product requirements, define AI/LLM-enabled CRM capabilities, collaborate cross-functionally to deliver SaaS CRM features, create product artifacts, measure success metrics, and prioritize initiatives to drive adoption and strategic account success.

Manage CertiK's LinkedIn corporate page and employee account matrix, produce AI-assisted content, analyze engagement metrics, and monitor LinkedIn trends and cross-platform activity to grow brand influence and optimize content strategies.

Sell Mortgage Cadence MCP Essentials and Enterprise to banks, credit unions, IMBs and mortgage lenders. Own full sales cycle, build pipeline, lead discovery, run demos/POCs, design tailored solutions with internal teams, manage complex enterprise sales, represent company at industry events, and maintain market insights and accurate pipeline forecasting.

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Manage LiteLLM's top accounts as the technical lead, regularly communicate with developer customers, resolve issues and feature requests, prevent churn, drive product adoption and surface roadmap opportunities to product teams.

Build and ship core product surfaces and internal tooling for an AI-focused enterprise platform. Implement data pipelines, deploy with customers, collect feedback, and iterate quickly while working directly with the founder on architecture and execution.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Design and implement realistic cloud infrastructure reinforcement-learning environments to evaluate AI models. Create reproducible scenarios covering distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery. Build deterministic validation tests, golden reference solutions, and defective variants; document architectures and collaborate with technical leads. Apply DevOps and infrastructure automation for scalable, secure solutions.