Top Artificial Intelligence Jobs in Pittsburgh, PA

Leads the strategy, architecture, engineering, governance, and evolution of Salesforce and the broader revenue systems ecosystem. Builds and manages a high-performing team of engineers, architects, administrators, and technical professionals; establishes modern development, CI/CD, testing, deployment, observability, security, and governance practices; owns platform roadmaps and architectural decisions; and drives AI adoption across development and operations. Partners with executives and cross-functional leaders to balance scalability, reliability, data quality, compliance, technical debt, and business priorities.

Own enterprise sales quotas and forecasts for large, complex AI software deals. Lead multi-threaded sales cycles through legal, security, procurement, integration reviews, pilots, and enterprise rollouts. Build executive relationships, strategic account plans, ROI business cases, and PE-backed opportunities. Coordinate founders, engineering, and solutions teams while providing product feedback. The role is remote by default but requires travel for executive meetings, onsite engagements, QBRs, and periodic headquarters visits.

Own the development and growth of Lemonade’s car insurance products, including coverage, pricing, rating plans, policy language, and product roadmaps. Partner with Actuarial, Underwriting, Insurance Operations, and Product teams to launch regulatory-approved improvements. Research market trends and competitors, measure product impact, and develop recommendations. The role requires strong insurance product expertise, analytical and project management skills, cross-functional collaboration, and enthusiasm for AI-enabled tools.

Leads product management strategy and execution for agentic onboarding, customer success, support resolution, and product utilization. Manages and develops PMs, partners with engineering, design, data science, platform, and post-sales teams, and tracks metrics including time to value, adoption, resolution, and churn. Requires experience delivering complex multi-team strategies, B2B SaaS onboarding or activation improvements, and AI-powered or agentic products.

Advise executives and managers on organizational design, talent decisions, performance, succession, and employee relations. Lead investigations, accommodations, leave matters, restructures, performance programs, culture initiatives, and engagement planning across US, UK, and Hong Kong teams. Use workforce data and AI-enabled support tools to inform decisions, route routine questions, and improve People processes while ensuring employment compliance.

Build and QA responsive HTML emails, reusable templates, landing pages, and lightweight web pages. Configure lifecycle campaigns, journeys, personalization, audience logic, triggers, suppression, and A/B tests in marketing automation platforms. Troubleshoot email rendering and journey issues, validate production data with SQL, collaborate with design, and document modular processes. The role requires strong email-production expertise, web development skills across Rails and Next/React, and careful cross-client and cross-browser testing.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Designs, deploys, validates, and troubleshoots large-scale GPU cluster networks, including InfiniBand, RoCE, Spectrum-X Ethernet, storage, front-end, and management fabrics. Responsibilities include topology and capacity planning, cabling and optics specifications, fabric bring-up, NCCL performance testing, deployment acceptance, incident escalation, and network automation using Python and Ansible.

Lead strategic account management for enterprise customers by driving retention, upselling, cross-selling, product adoption, and revenue expansion. Build executive relationships, manage complex sales cycles, forecast pipeline, and identify customer needs. Partner cross-functionally with Customer Success, Professional Services, Engineering, Marketing, and Product Management to deliver measurable customer outcomes and win competitive opportunities.

Executive leader responsible for setting the vision and operating model for Talent and Organizational Effectiveness. Leads People Business Partnership, talent management, learning and development, employee engagement, leadership effectiveness, career mobility, and culture initiatives. Advises senior executives, integrates AI into talent workflows, oversees organizational design and workforce planning, and measures program impact through people analytics. Builds scalable talent systems, develops functional leaders, and aligns employee strategies with business priorities.