Top Artificial Intelligence Jobs in Pittsburgh, PA

Design and implement backend services, modernize legacy systems into microservices, ensure strong testing and production observability, and collaborate with Product and Engineering teams. The role requires independent project ownership, strong system design, AI-assisted development using tools such as Claude or Cursor, effective communication with nontechnical stakeholders, and adaptability in an ambiguous, fast-changing environment.

Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.

Own global marketing strategy and organization, including positioning, brand leadership, product marketing, content, demand generation, and go-to-market execution. Partner with Sales, Product, and Customer teams to drive pipeline and revenue growth, particularly in North America. Build an 18-month roadmap, lead rebranding and repositioning initiatives, strengthen analyst and client relationships, and transform demand generation into a demand creation engine while leading a team of 20 or more.

Provides practical legal advice on commercial contracts, regulatory compliance, data privacy, employment matters, and vendor and sales agreements. Drafts and negotiates SaaS, technology, consulting, and service contracts; supports procurement, sales, and HR teams; monitors global legal developments; and advises on compliance. Leads adoption of automation, AI, and legal technology to improve legal operations and supports scalable processes for a fully remote technology company.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, legal, and compliance stakeholders. Build investigation scripts, runbooks, automated workflows, and security operations capabilities. Mentor engineers and support insider threat initiatives while collaborating across teams on cloud security and incident response.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

Lead the full sales cycle for Airwallex’s SME and Growth customers, from prospecting through negotiation, closing, and initial onboarding. Sell payments, cross-border payments, billing, and spend-management solutions to ecommerce, SaaS, professional services, and technology-enabled businesses. Generate pipeline, exceed revenue targets, conduct consultative product discussions, negotiate commercial agreements, collaborate cross-functionally, and help improve scalable sales processes and market expansion initiatives.

Leads Deepgram’s end-to-end Text-to-Speech research program, owning research strategy, technical direction, model development, evaluation, and production deployment. Advances neural audio modeling, prosody, expressiveness, multilingual generation, voice consistency, controllability, and inference performance. Builds and develops research teams, manages technical leaders, prioritizes experiments and compute, evaluates model quality, and partners with engineering and product leadership to ship production-grade models.

Own product strategy and roadmap for high-priority Coursera and Udemy platform areas, including AI-powered content creation experiences. Lead products from ideation through launch, partner with Engineering, Design, and Data, use customer insights and metrics to guide decisions, and deliver scalable learner and creator experiences. Mentor product peers and contribute to product organization excellence.