Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead full-cycle technical recruiting for systems, database, distributed-systems, and ML/AI roles. Source, screen, and close candidates; build talent maps and outreach; design engineering-specific interview loops and scorecards; partner with hiring managers; operate ATS and AI sourcing tools; represent LanceDB to technical communities.

Own technical qualification of compute providers: define acceptance standards and benchmarks, validate clusters (fabric, GPUs, storage, orchestration), guide provider remediation, and maintain technical relationships to ensure reliable production performance.

Lead end-to-end engineering for production AI agents and platform systems. Own architecture, deployment, scalability, security, and reliability. Use agentic coding to accelerate development, mentor teammates, and collaborate with data scientists and customers to deliver production-grade AI workflows.

Lead solutions advisory for the AMER region by supporting sales with expert Icertis demonstrations, developing strategic CLM solutions, researching market trends, and advising customers. Collaborate with sales and product teams to design tailored proposals, maintain strong customer relationships, and drive innovation and thought leadership in contract lifecycle management.

Lead the technical vision for AI-driven marketing automation. Build a unified data foundation, design and ship LLM-powered agents and automations across content, lifecycle, and paid channels, integrate marketing systems with engineering, run hypothesis-driven experiments, and codify repeatable playbooks to scale marketing engineering.

Enterprise Account Executive responsible for selling Gong's Revenue AI platform to large customers, driving revenue growth, managing sales cycles, and collaborating with cross-functional teams to close deals.

Lead global demand generation and campaign strategy (NAM & EMEA), own New Logo pipeline targets, run integrated ABM and lifecycle programs, embed AI and automation into marketing workflows, manage budgeting and vendor relationships, and mentor a distributed campaigns and ABM team to drive measurable pipeline and revenue outcomes.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.

Lead growth marketing across a studio and portfolio ventures: source contacts, run outbound sequences, build SEO-optimized content architectures, automate workflows, manage social presence, use AI for drafting, and optimize campaigns with data-driven experiments to drive customer acquisition and brand visibility.

Design and own capital and catastrophe modeling frameworks to evaluate policy- and portfolio-level risk and capital. Run and integrate catastrophe model outputs, build analytical tools and data structures, assess reinsurance impacts, and translate results into actionable recommendations for underwriting, finance, and portfolio strategy.