Top Remote Senior Level Jobs in Pittsburgh, PA

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Own the SMB sales revenue target, pipeline coverage, forecasting, CRM discipline, and close rates. Build an AI-first sales motion, establish deal stages and reporting, hire and ramp at least two account executives, and coach the team on urgency, pipeline hygiene, qualification, and deal execution. Partner with Finance on forecasting and use data to improve win rates and conversion across the sales funnel.

Lead Teachable’s brand and content function, including brand identity, narrative, creative output, content strategy, events, PR, and earned media. Manage internal leads and creative talent, external agencies, campaigns, and cross-functional partnerships. Set strategic and creative direction, oversee events and communications, establish performance metrics, and align brand initiatives with business goals. The role also requires mentoring leaders and maintaining a consistent brand experience across channels and audiences.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Partners with enterprise Account Executives and sales leaders to qualify and close complex travel technology deals. Demonstrates Navan’s platform, presents value propositions to travel managers, conducts strategy sessions, scopes solutions, runs proof-of-concepts and workshops, produces business value assessments, and supports pipeline progression. The role also enables Account Executives, provides competitive insights, and shares feedback with product and operations teams while contributing to sales quota attainment.

Own month-end close, journal entries, reconciliations, accruals, accounts payable, expenses, corporate cards, and audit readiness. Partner with the Controller and Engineering to automate Finance workflows using AI and automation tools. Evaluate and implement Finance technology, support budgeting, forecasting, reporting, and complete process-improvement projects in a SaaS environment.

Lead global calibration, measurement test equipment, and procurement processes across integrated laboratories. Harmonize procedures, ensure ISO 17025 compliance, manage equipment lifecycle and procurement standards, define KPIs, drive continuous improvement, and embed equipment workflows into digital platforms while engaging stakeholders to ensure adoption and governance.

Build Mimica’s product marketing function and own product positioning, messaging, go-to-market strategy, launches, market research, customer narratives, sales enablement, and marketing collateral. Partner closely with Product, Sales, Content, Demand Generation, and other teams to translate technically complex AI and enterprise software capabilities into compelling stories for varied industries, personas, use cases, and customer segments.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.