Top Artificial Intelligence Jobs in Pittsburgh, PA

Serve as CEO's right hand to define success metrics, lead cross-functional initiatives, build internal systems and processes, analyze product and customer data, run growth experiments, manage vendors, and operationalize high-impact projects to scale the company.

Develop and manage affiliate partnerships for an AI-powered dialer targeting SMBs: recruit affiliates and influencers, design commission structures and materials, onboard and support partners, monitor performance, optimize ROI, and align affiliate efforts with overall marketing strategy while ensuring compliance.

Identify and qualify US market opportunities, build and maintain partner relationships, generate leads with publishers/distributors/advertisers, represent the company at events, create presentations and proposals, collaborate with internal teams, track partnership performance, support negotiations, and report pipeline and competitive analysis to leadership.

Build and own adaptive phishing simulations and real-time behavioral ingestion systems using LLMs. Design interfaces for security teams, ship full‑stack, scalable code, work with early customers, and make foundational architectural decisions.

Manage customer implementations and ongoing support, train users, troubleshoot issues, gather and synthesize customer feedback, and liaise with product and engineering to improve the product and roadmap while ensuring strong customer relationships.

Support the sales team by identifying leads, conducting market research, preparing sales materials and proposals, participating in meetings and presentations, and collaborating with cross-functional teams to help drive business development and ensure client satisfaction.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Lead enterprise customer success for national home care networks and health systems. Own pilots through expansion, run executive cadence, diagnose workflows, coordinate technical triage with engineering, build onboarding/playbooks, influence roadmap, and travel for go-lives and QBRs (~30%).

Build and grow relationships with accounting firms, CFO consultants, and advisors. Source and onboard partners, run outbound campaigns, manage CRM and referrals, ensure partner revenue share, host events and represent Kintsugi at conferences, and collaborate with sales, marketing, and product to enable partner-driven growth.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.