Top Artificial Intelligence Jobs in Pittsburgh, PA

Own and execute Athos Commerce’s US partnership strategy, recruiting and managing ecommerce agencies, system integrators, platforms, and technology vendors. Drive partner-sourced pipeline and revenue through account mapping, joint go-to-market initiatives, co-marketing, training, and events. Build executive relationships, conduct business reviews, monitor partner performance and churn risk, and collaborate with Sales, Customer Success, Marketing, and Product to expand the partner ecosystem.

Manages a Sales Operations Support team serving account executives through quoting, order booking, post-sales support, request distribution, escalations, SLA compliance, and month-end processing. Coaches specialists, coordinates coverage, ensures quote-to-cash accuracy, and drives process improvements and change management. The role requires expertise in Salesforce, CPQ, service management systems, sales operations processes, financial acumen, and consulting, SaaS, managed services, or infrastructure quote-to-cash workflows.

Develops and executes communications supporting clinical system changes, including release updates, downtime notifications, urgent announcements, portal content, and user surveys. Manages SharePoint, MED365, and Microsoft Teams channels while creating targeted campaigns and analyzing user satisfaction and engagement. Ensures communications are timely, clinically accurate, compliant, and aligned with customer release schedules.

Owns the full-cycle sales process for Prophetic’s data products, including prospecting, discovery, demos, paid pilots, proposals, negotiation, and closing. The role targets homebuilders, developers, investors, and related organizations, requiring multi-stakeholder enterprise selling, data licensing expertise, ROI-based pricing, pipeline management, and structured handoffs to Account Management. The Account Executive will also build outbound strategy, navigate complex contracts, and support expansion across products, divisions, and geographies.

Own product hypotheses from ideation through execution, identify growth opportunities, solve complex business challenges, and deliver measurable business and user impact. The Product Manager will work closely with the CPO and cross-functional product teams, analyze new business domains, structure ambiguous problems, and develop simple, effective solutions aligned with company goals.

Leads competitive and market intelligence for AI, CX, CCaaS, and WEM markets. Analyzes competitor strategy, pricing, partnerships, win/loss data, customer insights, and market shifts to produce recommendations for Product, Marketing, and Sales. Creates battlecards, competitive plays, briefings, and enablement materials, while using AI tools to accelerate research and synthesis. Measures intelligence impact on deals and supports strategic decisions across the organization.

Lead revenue growth for Execo’s AI data services business. Own annual bookings and revenue targets, define go-to-market strategy, lead complex enterprise deals, expand strategic accounts, develop technology partnerships, and build scalable sales motions. The role requires executive-level engagement with AI labs, model builders, and enterprise clients, along with disciplined forecasting, pipeline management, pricing input, and collaboration with delivery and marketing teams.

Lead end-to-end CLM and AI implementations from discovery through go-live and adoption. Manage scope, schedules, budgets, resources, risks, testing, integrations, contract migration, AI governance, and executive reporting. Coordinate legal, procurement, sales, IT, security, vendors, system integrators, and global delivery teams. Drive change management, training, adoption tracking, and benefits realization for contract lifecycle and AI use cases.

Develop and optimize Mojo kernels and implement support for new accelerator architectures across Modular’s AI software stack. Build portability infrastructure, integration tests, and debugging workflows; collaborate with hardware vendors to triage platform issues. Engineers will study ISAs, memory hierarchies, and vendor toolchains while contributing to compiler, model-serving, and inference optimization efforts.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Owns growth of Microsoft Fabric professional services by building Microsoft co-sell relationships, developing pipeline, shaping solutions, leading discovery and proposals, supporting deal closure, and handing engagements to delivery. The role requires consultative selling, professional services scoping and estimating, Fabric solution positioning, executive communication, customer workshops, demand generation, and coordination across Microsoft, clients, and internal delivery teams.

The Technical Recruiter will manage technical searches across software, data, AI, and cloud roles, collaborating with hiring managers and ensuring detailed candidate assessment and feedback.