Top Artificial Intelligence Jobs in Pittsburgh, PA

The Regional Account Executive will manage the full sales cycle, from prospecting to closing deals, while promoting mabl's Test Automation Platform to new accounts. Responsibilities include achieving sales quotas, educating customers on products, and documenting activities in Salesforce.

Lead complex clinical assay development projects from inception to commercialization, managing scope, budget, timelines, and cross-functional teams while ensuring compliance with industry regulations and fostering team development.

Drive iManage’s strategic Microsoft partnership by executing global co-sell and joint go-to-market programs. Build Microsoft field relationships, deliver enablement, expand marketplace participation, develop AI and Copilot initiatives, and track pipeline, revenue, and partner-sourced leads. Support business reviews, standardize engagement processes, and improve partnership efficiency and scalability across regions.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead commercial growth for 3-5 Tier 1 retail accounts post-sale: own expansion, renewals, and ARR through account planning, upsell, negotiation, executive engagement, and cross-functional collaboration. Use data-driven strategies, Salesforce and Trumpet for pipeline and forecasting, and partner with Customer Success, Product, and Marketing to realize customer value and scale long-term enterprise relationships.

Lead the development of procurement strategies, drive vendor management, ensure cost savings, and establish procurement processes in a remote-first environment.

Manage day-to-day IT for a remote-first startup, including onboarding and offboarding, device and account administration, employee troubleshooting, IT documentation, vendor coordination, endpoint security, DNS, MDM, patching, and compliance support. The role also contributes to IT projects such as MDM migration, tooling rollouts, vendor evaluation, and security improvements. This is a part-time engagement of approximately 8–10 hours weekly with occasional onsite support preferred in the San Francisco Bay Area.

Own full enterprise sales cycles for Advisor360°'s WealthTech SaaS, building C-suite relationships, aligning platform solutions to client needs, collaborating with Sales Engineering/Product/Marketing, influencing pricing and deal structure, and consistently achieving quarterly and annual revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.