Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead GC AI's privacy, data protection, and security compliance legal work: own GDPR/CCPA/CPRA posture, manage SOC 2/ISO programs, negotiate DPAs and security addenda, advise product and engineering on privacy-by-design and AI governance, support enterprise sales on security reviews, and maintain privacy/security playbooks.

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.

Provide fast, technically sound support for a B2B SaaS CRM via email, chat, and video. Troubleshoot APIs, integrations, and product issues; document bugs; contribute to documentation; advocate customer feedback to Product and Engineering; and help customers implement scalable workflows and best practices.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

The GTM Engineer II will manage strategic customer relationships, drive adoption and revenue growth, and advise executives on GTM strategy while navigating complex organizations.

Lead design and implementation of compliance and risk programs across products, focusing on AI and cloud environments. Manage audits (SOC, ISO, HIPAA, PCI), drive automation and AI-enabled controls, perform gap assessments, collaborate with engineering/product teams, and advise on regulatory impact and remediation across jurisdictions.

Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning.

Lead strategy and execution for generative and multimodal vision systems, from research to production. Design model architectures, adaptation, evaluation, and deployment pipelines; improve realism, controllability, robustness, and temporal consistency; benchmark and guide model selection; mentor scientists and coordinate cross-functional engineering to ship production-ready AI capabilities.

Manage and maintain compliance with security and privacy frameworks (ISO 27001, SOC 2, HIPAA, PCI DSS). Coordinate audits, drive remediation, improve controls and evidence management, support security questionnaires for deal cycles, and design compliance training while partnering across teams to integrate controls into the SDLC.

Lead strategy and execution for foundational platform products (data & analytics, enterprise search, auth/entitlement/billing), own portfolio P&L, establish governance and cross-team planning, drive adoption, mentor PMs, coordinate with Google Cloud partners, and deliver measurable commercial outcomes while enabling AI-native workflows.

Partner with HRBPs, TA, and Engineering/Product leaders to advise on compensation across the employee lifecycle. Use market data, internal talent insights, and AI tools to recommend pay, run annual comp and equity planning, manage promotions and offer decisions, evaluate global programs, build compensation tools/dashboards and automated reports, and create communications and training to drive adoption and equity.

Lead and own enterprise customer implementations for Motive products, defining project strategy, managing cross-functional teams, training users, tracking KPIs, mitigating risks, and ensuring timely adoption. Interface with stakeholders up to executive level and travel to customer sites (~40%).