Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead and grow the Google practice—define market strategy, build sales pipeline, close large deals, scale delivery teams, oversee financials and operational metrics, and ensure exceptional client outcomes while collaborating with executive leadership.

Own full-cycle enterprise sales into electric utilities and infrastructure: generate new opportunities, manage complex multi-stakeholder deals, convert pilots to enterprise deployments, guide contracting and procurement, represent technical product value, build ROI-driven business cases, and drive multi-year account strategies while partnering cross-functionally to support adoption and expansion.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

The Field CTO serves as a strategic conduit between Sonar's leadership and enterprise technology leaders, focusing on market evangelism and technical advisory, enhancing brand reputation, engaging customers, and shaping product roadmaps.

Upstart invites candidates to join their Product Talent Community for future job opportunities in their innovative and inclusive lending solutions. Members receive updates on roles that match their skills.

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.

Pre-sales SAP technical consultant supporting late-stage sales: advise on SAP (S/4HANA, ECC) integrations, design/validate integration workflows, map financial data to SAP structures, demonstrate integration requirements, deliver POCs, and relay product gaps to engineering.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.