Top Artificial Intelligence Jobs in Pittsburgh, PA

Provide front-line technical support for ServiceTitan customers via phone, chat, email, and screen-share; troubleshoot issues, prevent escalations, build product expertise, and explain marketing and technical concepts clearly while reviewing reports and customer data.

Lead the vision, strategy, and delivery for Communications Intelligence: build a cross-channel communications data platform, reporting, APIs, and Voice Intelligence. Define metrics, drive data quality and observability, design operational dashboards and workforce intelligence, prototype UX, align cross-functional teams, and mentor product peers to improve contact center outcomes and AI-powered insights.

Own and build the greenfield B2C backend: schema-first TypeScript BFF, OpenAPI contracts, Cognito-based auth, Postgres domain models with forced RLS, durable asynchronous operations (transactional outbox, SQS, worker leases), Python worker integration, observability, compatibility/versioning, tests, runbooks, and handoff documentation.

Own day-to-day accounting for a fast-growing healthcare SaaS startup: run month-end and year-end close, journal entries, reconcile GL, manage revenue/billing, AP/AR, corporate card and payroll (Ramp, Rippling), ensure data integrity across Campfire, Salesforce and Replit, and drive systems, automation, and AI-driven efficiencies.

Review applications and product changes before release to ensure compliance and quality. Validate and document findings, provide actionable feedback to engineering and operations, verify fixes, maintain review documentation, and improve internal review processes to ensure consistent, high-quality releases.

Own the end-to-end payments platform for a subscription business: optimize rebill recovery and initial auth rates, audit and select vendors, run routing and tokenization experiments, self-serve BI analysis, set roadmap, handle chargebacks/fraud/compliance, and lead incident resolution with an engineering scrum team.

Write and publish high-quality blog posts and case studies by researching eCommerce/logistics topics and interviewing customers. Propose original content ideas, craft narratives that showcase customer success and Wondys impact, collaborate with the team, use Figma/Framer/HubSpot/Google Workspace for content workflows, and track content performance to improve engagement.

Support and grow Wondy’s social media across LinkedIn, Instagram, Twitter, and other platforms. Create and schedule engaging content, monitor performance metrics, interact with followers, and provide insights. Collaborate with founders, propose trends-driven ideas, and use tools like Framer and HubSpot to streamline workflows and analytics.

Lead Marketing / Public Relations Intern will own marketing and PR initiatives, collaborate with founders on branding, analyze market trends, manage campaigns, and use Google Workspace, HubSpot, and Framer. Opportunity to grow into a full-time leadership role at an eCommerce-focused AI startup.

Design and build AI-powered backend services, optimizing performance and scalability while collaborating with cross-functional teams to integrate generative AI models.

Support day-to-day people operations for a distributed US-based team: coordinate onboarding/offboarding, process payroll inputs, assist benefits enrollment, maintain HR records, serve as first contact for routine employee questions, support leave administration, coordinate vendor/EOR interactions, run employee programs and events, and cover expanded HR responsibilities during a planned leave (Dec–May). Identify process improvements and maintain operational playbooks.

Design realistic, multi-step data analysis benchmark tasks and create reproducible reference analyses. Evaluate AI-generated analyses for correctness, statistical validity, and interpretation. Collaborate with researchers to improve benchmark quality and document methodologies in Jupyter/Colab notebooks.

Design and author research-oriented, multi-step benchmark tasks for frontier AI models; create reference solutions and evaluation standards using Python and notebooks; review AI outputs to identify methodological and analytical flaws; collaborate with AI researchers to refine evaluation methodologies.

Validate and harden AI evaluation benchmarks by designing test cases, reviewing tasks and reference solutions, debugging Python evaluation scripts, identifying edge cases and exploits, developing repeatable QA processes, and collaborating with researchers to ensure reliable, reproducible benchmark results.

Lead full-stack development on a React Native frontend and FastAPI Python backend for an AI-driven healthcare product. Design APIs, ship user-facing features, drive architecture, write tests, collaborate with ML researchers and clinicians, and deliver scalable, reliable production systems.