Top Remote Jobs in Pittsburgh, PA

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead architecture, build, and operate customer-facing analytics platform: design ELT and metric governance, implement low-latency serving (OLAP), ensure reliability/performance, mentor engineers, partner with product, and use AI coding tools to accelerate development.

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

Lead editorial strategy and the company blog to drive top-of-funnel growth. Pitch, write, and edit product-focused content; build and manage an editorial roadmap and calendar; collaborate with Product Marketing, Growth, and Product teams; optimize content for search and AI/LLM answers (GEO); coordinate contributors and approvals; use performance data to inform and optimize content.

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Own strategic enterprise deals within TMT, consistently achieve quotas, build C-level relationships, develop solution knowledge and competitive proposals, and coordinate internal teams to close large contracts.

Upstart invites candidates to join their Product Talent Community for future job opportunities in their innovative and inclusive lending solutions. Members receive updates on roles that match their skills.

Lead GC AI's privacy, data protection, and security compliance legal work: own GDPR/CCPA/CPRA posture, manage SOC 2/ISO programs, negotiate DPAs and security addenda, advise product and engineering on privacy-by-design and AI governance, support enterprise sales on security reviews, and maintain privacy/security playbooks.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Lead full‑stack engineering efforts to design, build, and operate production healthcare systems. Own epic-level features, mentor engineers, design for reliability and scalability, integrate with partners, and ensure launch readiness across backend (Java/Groovy), frontend (React/TypeScript), data (MongoDB), and event-driven pipelines (Kafka).

Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Provide fast, technically sound support for a B2B SaaS CRM via email, chat, and video. Troubleshoot APIs, integrations, and product issues; document bugs; contribute to documentation; advocate customer feedback to Product and Engineering; and help customers implement scalable workflows and best practices.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

The GTM Engineer II will manage strategic customer relationships, drive adoption and revenue growth, and advise executives on GTM strategy while navigating complex organizations.