Top Remote Senior Level Jobs in Pittsburgh, PA

Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency.

Design and build scalable, fault-tolerant backend payment services in Go. Own end-to-end delivery from design to production, improve reliability, observability, and performance, and collaborate with product and cross-functional teams to expand payment capabilities and integrations.

Senior individual contributor leading executive compensation and comp business partnering for senior leaders, driving AI strategy to automate benchmarking and modeling, producing executive-ready recommendations, and shaping LTI and proxy-related compensation design with Legal, Finance, and advisors.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Own enterprise AI strategy and launch the PureSpectrum AI Academy. Curate an approved AI tool stack, create function-level AI playbooks, manage an active AI project portfolio, partner with engineering to implement API-connected workflows, and drive measurable adoption, automation, efficiency, and ROI across functions while reporting program status to leadership.

Lead day-to-day operations for Short Term Disability and FML claims, managing 60-80 specialists and 4-6 unit managers. Drive operational metrics, quality, service, process and technology improvements, change management, cross-functional partnerships, and full people management including hiring, performance, and development.

Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.

Own and govern the Professional Services delivery methodology, tooling, and escalation frameworks. Maintain portfolio health reporting, run RCA post-implementation, enforce PS tooling adoption, and develop implementation playbooks for different customer segments. Drive consistency across IMs and CSMs to reduce churn and improve go-live outcomes.

Lead day-to-day accounting operations and a team of four accountants. Own month-end/quarter/year-end close, reconciliations, technical US GAAP accounting, audit support, and payroll accounting. Drive automation using LLMs/AI, implement process improvements with Netsuite/Workday/Ramp, and partner cross-functionally on strategic accounting projects and audit readiness.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.

Lead Android migration and launch across Cash Line and Unsecured Installment products. Define mobile architecture, partner with product/design, mentor engineers, deliver high-quality native Android and React Native solutions, and continue as a mobile specialist post-launch to improve performance and scalability.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Drive sales strategy and enablement for Cox Automotive clients by advising sales leaders, delivering financial and client intelligence analyses, building analytic frameworks, supporting high-level client engagements, and managing tools and resources to improve sales engagement, adoption, and revenue retention.