Top Artificial Intelligence Jobs in Pittsburgh, PA

You will generate pipeline for the NORAM market by engaging decision-makers at fintechs and banks through cold calls and personalized outreach.

The Senior Software Engineer will lead the design and delivery of core capabilities for an automated investigation platform, integrating with security tools and ensuring quality in software development. Responsibilities include mentoring, overseeing technical direction, and participating in on-call rotations.

Manage the sales cycle, perform outbound sales activities, deliver presentations, maintain customer relationships, and achieve sales metrics.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

The ServiceNow Engagement Lead orchestrates the delivery of multiple ServiceNow workstreams, managing project scope, schedules, and client relationships while fostering team collaboration and ensuring high client satisfaction.

Serve as the senior finance leader driving FP&A, forecasting, revenue governance, pricing and unit-economics analysis. Partner with CRO and executives on strategy, investor/board reporting, M&A, and financing while building a high-performing analytics team and scalable financial controls.

Provide third-tier, customer-facing technical support: diagnose and reproduce issues, perform source-code analysis and packet captures, collaborate with Engineering and Sales, produce knowledge-base content, and offer limited on-call support to ensure timely resolution.

The Client Partner will drive sales by prospecting new business, managing client relationships, and support growth initiatives within 10Pearls, particularly in technology services for financial and healthcare clients.

Administer and optimize Genesys Cloud CX and WFM/dialer systems for a high-volume blended contact center. Manage campaigns, forecasting, scheduling, real-time adherence, compliance, UAT, data imports, and cross-team improvements to drive KPI performance and regulatory compliance.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.