Top Artificial Intelligence Jobs in Pittsburgh, PA

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Own Feathery’s product positioning, messaging, go-to-market strategy, product launches, sales enablement, competitive intelligence, and customer research. Translate complex workflow automation capabilities into compelling narratives for enterprise buyers in insurance and wealth management. Collaborate with Product, Sales, Customer Success, and Leadership to develop marketing assets, inform roadmap priorities, strengthen differentiation, and accelerate adoption.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.

Handle product, billing, refund, bug, and feature-request inquiries for Meshy users. Resolve complex subscription disputes, improve billing policies and support procedures, coordinate with Product, Engineering, Finance, Growth, and Customer Success, and identify recurring issues. Create Help Center content and Intercom automations, analyze ticket trends, and own the Eastern Time support window in a globally distributed support team.

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.

Own full enterprise sales cycle for Lorikeet's AI support automation: prospect, qualify, close, and expand mid-market and enterprise accounts. Partner with product and implementation teams for onboarding, establish sales processes and playbooks, provide market feedback to inform roadmap, and exceed revenue targets selling to technical and business stakeholders.

Lead long-cycle, consultative enterprise sales for Manifest's immigration and global compliance solutions. Manage multi-stakeholder deals, run pilots and business cases, use MEDDPICC for forecasting, and represent the company at industry events.

Leads complex enterprise SaaS delivery programs for major banks, owning governance, client and executive relationships, commercial controls, risk management, regulatory deadlines, third-party coordination, and successful go-live. The role requires deep financial crime compliance technology experience, including AML, KYC, transaction monitoring, sanctions screening, or case management platforms, plus proven Tier 1 bank implementations, program turnaround expertise, cloud delivery, and senior stakeholder credibility.

Own sales and revenue operations workflows, including territory design, Salesforce pipeline hygiene, forecasting, quota setting, compensation tracking, reporting infrastructure, and process documentation. Partner with Sales, Finance, Marketing, Sales Enablement, and Deal Desk to improve forecast accuracy, operational consistency, and scalable revenue processes. Apply AI tools to automate workflows and support reporting and territory analysis.

Leads revenue operations across sales, customer experience, marketing, finance, and product. Oversees forecasting, pipeline management, territories, quotas, reporting, dashboards, CRM administration, integrations, and data quality. Manages revenue operations analysts and improves customer lifecycle processes, retention, upsell, and cross-functional workflows. Uses Salesforce and related revenue systems to deliver actionable performance insights, support business reviews, and drive revenue growth.