Top Remote Jobs in Pittsburgh, PA

Leads regional operations training across data center sites, including onboarding, role-based instruction, drills, qualification boards, assessments, remediation, and training content development. Maintains auditable records, dashboards, qualification paths, and training plans while partnering with technical operations, safety, site leaders, and subject matter experts. Supports mobilizations, new-site readiness, vendor training, continuous improvement, and global training standardization. Regular travel within the assigned region is required.

Build production agentic AI systems that reason across imagery, point clouds, BIM models, drawings, specifications, and sensor data. Responsibilities include designing multi-step agents, retrieval and grounding systems, tool interfaces, evaluations, model selection, traceable outputs, and production deployment. The role requires multimodal ML expertise, strong Python engineering, spatial-data fluency, and experience taking LLM or VLM systems into production.

Leads ERP strategy, governance, operations, optimization, and support for higher education customers. Manages ERP analysts and technical teams, oversees implementations, upgrades, integrations, testing, releases, security, and system performance. Partners with executives and business stakeholders on process improvement, automation, organizational change, user adoption, and technology roadmaps. Also manages vendors, budgets, resources, and cross-functional initiatives while ensuring enterprise applications align with business objectives.

Own the post-sale experience for strategic enterprise customers, driving adoption, retention, expansion, and customer health. Build and lead the Customer Success function by hiring Customer Success Managers, developing playbooks, establishing operating models, forecasting renewals, and implementing tooling. Serve as an executive sponsor for key accounts, partner with Sales, Product, Engineering, and Deployment, translate customer feedback into product input, and report performance and strategy to executives and the board.

Leads the design, delivery, and optimization of data architecture, pipelines, semantic layers, data quality frameworks, and Tableau BI platforms. Partners with stakeholders to manage requirements, project plans, sprint execution, monitoring, governance, and release delivery. Guides data engineers, manages team members, and supports AI-enabled analytics capabilities. Requires strong SQL, Spark, PySpark, SSIS, cloud data platform, CI/CD, Tableau infrastructure, and data engineering expertise.

Owns product development for AI-powered audit evidence review software. Responsibilities include gathering requirements, defining and prioritizing features, coordinating Design and Engineering, managing roadmaps and releases, measuring AI quality and business impact, and using product analytics to guide decisions. The role requires shipping LLM-powered features, establishing evaluation frameworks, balancing automation with human review, and delivering measurable customer and business outcomes.

Generates new business with utility and public-sector clients through consultative sales, prospecting, relationship development, proposal creation, financial solution development, negotiation, and closing. Partners with operations and technical teams to translate customer needs into installable renewable energy solutions. Maintains client relationships through installation, monitors account plans, and tracks sales and gross-margin goals. Requires frequent travel of 30% to 50%.

Leads revenue accounting, revenue recognition, billing, collections, and quote-to-cash operations for a SaaS company. Oversees ASC 606 compliance, complex contract assessments, SOX controls, audits, revenue close, reporting, transaction data integrity, and process automation. Partners with Sales, Legal, FP&A, Product, Engineering, and Deployment teams while managing and developing a high-performing revenue and billing organization.

Own and improve NewtonX’s GCP-native platform infrastructure, including GKE, Cloud Run, CI/CD pipelines, Terraform, observability, autoscaling, security controls, and data anonymization. Lead reliability improvements, infrastructure-as-code standards, supply-chain security, and on-call practices. Partner with engineering teams on architecture and production infrastructure decisions while operating shared systems across multiple deployment patterns and reliability requirements.

Own the full sales cycle for AWS professional and managed services, including prospecting, opportunity development, relationship management, proposals, negotiation, contracting, upselling, and cross-selling. Build relationships with technical and business executives, leverage AWS seller partnerships and programs, meet quota targets, and sell cloud, data, and GenAI solutions to mid-market and startup customers.