Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Senior Technical Writer for a SaaS identity security company producing online admin docs, KB articles, and in-app copy. Collaborates with Product, Engineering, UX, DevOps, QA, and Support in a continuous-delivery environment. Owns documentation for product features, coordinates with stakeholders, and improves content structure and processes. Requires strong research, communication, and Markdown skills; prefers HTML/CSS and CI/CD experience.

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.

Senior full-stack engineer responsible for designing, building, and shipping customer-impacting features across a Node/TypeScript/React codebase. Use AI tools in development, own production services (deployments, monitoring, on-call), debug distributed systems, improve engineering practices, mentor teammates, and influence technical direction within a product pod.

Lead product definition and delivery with clients and cross-functional teams: write user stories, prioritize features, manage requirements, track and resolve issues, and drive projects from discovery through implementation. Build strong client relationships, work independently, and ensure information security and data privacy practices are followed.

Manage a portfolio of Superhuman Docs accounts to drive adoption, retention, and expansion. Act as a trusted advisor, run account reviews, build feedback loops to inform product roadmap, design change management and enablement programs, and collaborate cross-functionally to deliver customer value and identify upsell opportunities.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Drive revenue growth within federal enterprise accounts by selling Skillsoft SaaS/PaaS solutions to federal decision-makers. Build pipeline, deliver executive presentations, influence senior leaders, collaborate cross-functionally, and manage pipeline health while meeting revenue and pipeline goals.

Own enterprise customer implementations of Samsaras IoT platform, driving deployment, onboarding, training, and adoption. Create launch plans, track implementation progress and product usage, run trainings and demos, and coordinate cross-functionally to ensure customer success and value realization.

Support employees across the lifecycle using Workday and Zendesk; manage HR compliance filings (EEO-1, CA PDR, AAPs); create employee-facing knowledge via internal AI/productivity tools; perform UAT, testing, and audits; execute complex Workday EIB data changes; drive cross-functional process improvements and champion company culture.

Lead and scale a digital-first Nurture customer success segment: define coverage and engagement models, build telemetry-driven automated playbooks, manage lifecycle communications, partner cross-functionally, and own metrics like renewal rate, NRR, and consumption growth while leading a team of digital CSMs.

Owner of Vannevar's authentication and authorization platform: build tenant-isolated auth systems, self-service user/group/permission admin UI, tooling to visualize and validate access, feature-flag and platform management interfaces, and shared authorization capabilities across products.

Lead product strategy and execution for an AI-first enterprise marketing platform, drive customer value through technology and agentic capabilities, collaborate cross-functionally, own outcomes, and iterate on product innovation to keep brands visible across search and AI surfaces.