Top Operations & Support Jobs in Pittsburgh, PA

Provides Tier 2 technical support for configuration, integration, environment, database, API, and data issues. Investigates and resolves client tickets, troubleshoots SQL and API problems, supports go-lives and upgrades, escalates code defects to Engineering, maintains SLA-driven queues in Salesforce Service Cloud, mentors Tier 1 staff, identifies recurring issues, and contributes to support tooling and documentation improvements.

Partner with the CEO and senior leaders to shape enterprise priorities, structure complex decisions, drive strategy execution, establish KPIs, resolve cross-functional trade-offs, and lead high-impact initiatives. Serve as a trusted advisor and operator who extends the CEO’s impact, creates organizational alignment, and improves workflows through AI and emerging tools.

Owns governance and optimization of interconnected operational and financial systems supporting billing, pricing, tax, settlement, entitlements, and reconciliation. Serves as the liaison between Operations, Product, Technology, and Finance; analyzes data flows, strengthens controls, investigates multi-system issues, drives root-cause resolution, automates manual processes, tracks performance metrics, and leads change adoption. Requires strong technical business analysis, enterprise systems, financial operations, and cross-functional collaboration experience.

Manage end-to-end operations for specialized participant pools supporting AI projects. Responsibilities include participant onboarding, verification, quality management, engagement monitoring, process optimization, project planning, documentation, and stakeholder enablement. Partner with product, technology, data, science, delivery, and customer success teams to scale manual workflows into technology-driven solutions and support high-quality human data collection for AI tasks.

Administer and extend CRM, contact center, and AI-agent platforms supporting Customer Operations. Configure workflows, routing, permissions, prompts, knowledge sources, integrations, and automations. Troubleshoot data-flow issues, monitor AI performance, document system configurations, maintain runbooks, train users, evaluate tools, and translate business requirements into reliable system configurations.

Oversee homeowners package underwriting performance, profitability, risk selection, pricing, compliance, and service quality. Manage and develop underwriting staff through coaching, feedback, training, and performance management. Maintain underwriting procedures, review automation rules, support product and system enhancements, oversee testing, collaborate with agents and internal teams, and drive process improvements, efficiency, growth, and profitability.

Build and maintain revenue workflows connecting CRM, marketing, sales, customer experience, product, support, and billing data. Identify GTM problems, automate and improve lead scoring, account management, pipeline progression, customer retention, and expansion processes. Use integrations, APIs, SQL, lightweight code, AI, and automation platforms to deliver measurable commercial outcomes. Partner with RevOps and cross-functional teams, monitor workflow performance, train users, and ensure reliable adoption.

Administer and optimize Netflix’s global Workforce Management platform and integrations. Responsibilities include data validation, system configuration, user provisioning, licensing, Tier 1 troubleshooting, third-party tool integration, documentation, and process improvement. The role partners with Operations, Engineering, Data Science, Product & Technology, vendors, and other IT teams to maintain platform reliability, data integrity, security, and scalable workforce management solutions.

Manage and prioritize a high-volume scheduling queue for provider operations. Coordinate calendars and appointments, communicate with reporters and internal teams, document updates accurately, handle last-minute changes, complete timely follow-ups, and escalate issues when needed. The role requires dependable attendance, strong organization, clear communication, and comfort using scheduling platforms, ticketing systems, and cloud-based tools. It is fully remote but requires Pacific Time availability from Monday through Friday, 9:00 a.m. to 5:30 p.m.

Leads revenue operations across the full customer lifecycle, owning forecasting, pipeline analytics, GTM systems, CRM governance, customer health scoring, planning infrastructure, and revenue reporting. Partners with Sales, Marketing, Finance, Energy Markets, and Customer Success to improve productivity, standardize processes, connect contracted value to realized revenue, and surface risks and opportunities. Manages a team spanning sales productivity, analytics, and operations.