Top Artificial Intelligence Jobs in Pittsburgh, PA

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Consults with enterprise retail customers to understand business needs, design and demonstrate SaaS solutions, develop future-state roadmaps, scope statements of work, and support implementation handoffs. Partners with sales, product, engineering, project teams, and customer success to drive adoption, reduce implementation risk, and demonstrate measurable business value. Requires strong presentation, discovery, solution architecture, retail systems, and customer advisory skills.

Own the technical sales process for enterprise AI workflow automation, including discovery, process mapping, pilot design, demos, technical evaluations, security reviews, integrations, and early platform testing. Partner with Account Executives and customer operations and IT teams, connect solutions to measurable business outcomes, manage scope and feasibility, create reusable sales assets, and transition successful pilots to Forward Deployed Engineering. The role requires hands-on AI knowledge, systems thinking, commercial judgment, and occasional travel.

Build and refine front-end experiences for web and mobile: onboarding, checkout, gallery features, design system and enterprise dashboard. Collaborate closely with designers and PMs, ship fast, maintain aesthetic quality, and iterate with user feedback using React, Next.js and TypeScript.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Own the systems, data, forecasting, and processes powering the SaaS go-to-market engine. Responsibilities include optimizing HubSpot and the broader revenue technology stack, improving attribution and data quality, managing PLG-to-sales-assist funnels, developing forecasts and scenario models, automating lead-to-cash and renewal workflows, building dashboards, supporting pricing and packaging tests, and aligning Marketing, Sales, Customer Success, Product, Payments, and Finance around revenue growth.

Drive enterprise and mid-market sales across North America by exceeding revenue targets, generating outbound pipeline, managing the full sales cycle, building stakeholder relationships, advising customers as a technical expert, and providing product feedback. The role requires experience selling complex SaaS or subscription solutions, sustainability solutions, and established North American networks. Travel for prospect meetings and industry events is required.

Own the full B2B SaaS sales cycle, including prospecting, discovery, demonstrations, negotiation, and closing. Build pipeline through outbound, inbound, and partnerships; manage CRM hygiene, forecasting, and quota performance. Engage IT, HR, operations, practitioner, and executive stakeholders, translating AI automation capabilities into measurable business value. Provide customer and competitive insights, and help establish the sales playbook and go-to-market processes as an early team member.

Support accounts payable, travel and expense processing, cash management, bank reconciliations, prepaids, accruals, journal entries, and month-end close. Maintain vendor records, assist with 1099 reporting, audits, compliance, cash forecasting, internal controls, and accounting automation. Partner cross-functionally to ensure accurate expense classification and invoice processing while improving ERP and finance operations.

Serves as the endpoint security subject-matter expert for support, Sales Engineering, and Customer Success. Diagnoses complex Windows and macOS endpoint issues, analyzes telemetry and logs, troubleshoots integrations with EDR, DLP, and MDM products, and provides prioritized customer recommendations. Partners with Engineering and QA on defect investigation and validation, maintains lab capabilities, and creates runbooks and documentation. The role also enables field teams to explain endpoint findings and improve customer outcomes.