Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead strategy and success planning for strategic SaaS accounts, aligning customer goals, performance, adoption, retention, and growth. Advise clients on lifecycle marketing across SMS, email, and AI-powered channels; coordinate account, services, product, and technical teams; lead business reviews; translate insights into recommendations; manage forecasts, renewals, risks, and expansion opportunities; and build executive-level relationships.

Own the full-cycle recruiting process from sourcing and recruiter screens through interviews, offer negotiation, and closing. Build outbound pipelines using LinkedIn Recruiter, referrals, and talent mapping; manage candidate workflows in the ATS; partner with hiring managers; assess candidate fit; and use AI and automation to improve recruiting efficiency. The role supports hiring across engineering, product, sales, marketing, and other functions in a fast-paced startup environment.

Leads the state, local government, and education Solutions Engineering organization across the United States and Canada. The role manages managers, scales hiring, owns technical win rates and coverage models, supports sales forecasting, and guides customer deployments and proofs of concept. Responsibilities include drone program design, site assessments, CAD/VMS integrations, BVLOS and waiver strategy, public-sector procurement, product feedback, and technical enablement. The position is remote with approximately 30% travel and requires strong public safety drone expertise.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Drive new enterprise revenue for DEUNA’s payments and AI platform across the U.S. Own the full sales cycle, from prospecting through close, while developing account strategies, managing complex multi-stakeholder opportunities, maintaining CRM pipeline forecasts, and exceeding quotas. Sell payment orchestration, checkout optimization, fraud reduction, and related solutions to retailers, marketplaces, and e-commerce companies. Collaborate with marketing, product, solutions engineering, and customer success teams.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Create and publish user guides, release notes, knowledge articles, troubleshooting content, and best practices for SugarAI products. Collaborate with Product, Engineering, UX, and Support teams throughout the product lifecycle, build product expertise, advocate for users, and simplify complex technical concepts. Develop reusable templates and automated workflows to improve content quality and team efficiency.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Lead the vision, roadmap, discovery, and delivery of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, guide cross-functional teams, and measure adoption, usability, customer impact, and business outcomes. Champion responsible AI practices involving quality, privacy, transparency, and trust while using customer feedback and product data to continuously improve products.