Top Remote Entry Level Jobs in Pittsburgh, PA

Manage simultaneous enterprise customer implementation projects from kickoff through closure. Responsibilities include defining scope, success plans, requirements, schedules, budgets, and communication; tracking progress, risks, resources, and issues; managing contracts and change control; coordinating internal and customer stakeholders; leading escalations and reporting; and conducting post-implementation reviews. The role partners with Product, Engineering, Solutions Delivery, and Customer Success to deliver successful software deployments, with up to 30% travel.

Manages the organization’s internal travel staffing program, coordinating therapist placements, approvals, onboarding, compensation, utilization reporting, and assignment logistics. Partners with Operations, Finance, HR, Payroll, and Talent Acquisition to align staffing deployment with business needs and budgets. Oversees external travel staffing vendors, including performance management, rate negotiations, contract coordination, and accountability for fill rates and traveler quality.

Own end-to-end data workflows, including ingestion, storage, orchestration, transformation, validation, and delivery. Build ETL/ELT pipelines, manage cloud data platforms and transfers, optimize data models and queries, maintain data quality monitoring, troubleshoot production issues, and document data flows. Collaborate with technical and nontechnical teams to investigate discrepancies, support enterprise datasets, and apply secure data-handling practices.

Lead Factory’s developer relations strategy across technical content, community, events, partnerships, and social channels. Build tutorials, demos, documentation, sample applications, and case studies; represent Factory publicly; grow developer communities; develop ecosystem partnerships; gather product feedback; and measure developer adoption, engagement, and retention. The role requires strong technical credibility, familiarity with AI-powered development, exceptional communication skills, and close collaboration with Product and Engineering.

Build and maintain finance data pipelines, warehouse models, dashboards, and automations for unit economics, technology budgeting, burn, runway, margins, deal desk, and sales compensation. Develop internal tools and LLM-based agents that help non-engineers access trusted financial data. Partner with finance, sales, and engineering leadership to reconcile discrepancies and improve revenue, cost, billing, payroll, cloud-spend, and accounting workflows.

Conduct original research to develop frontier STEM benchmarks, evaluations, synthetic data methods, hallucination and reliability techniques, and agentic science workflows. Responsibilities include identifying research gaps, designing experiments, building evaluation pipelines, validating results, constructing benchmarks, and publishing findings. The role requires strong knowledge of modern LLMs, scientific judgment, quantitative reasoning, Python, technical writing, and independent research execution. This is an in-office position five days per week in San Francisco, Palo Alto, or Seattle.

Manage customer software renewals from contract negotiation through completion. Responsibilities include handling renewal quotes and orders, processing license audits, maintaining Salesforce and Salesforce CPQ data, forecasting, responding to customer requests, identifying expansion opportunities, recommending subscription alternatives, and collaborating with Sales, Legal, Deal Desk, Finance, and Customer Success.

Coordinates K-12 standardized testing operations, including calendars, rosters, testing sites, staffing, accommodations, devices, compliance, security, communications, and records. Supports STAAR, SAT, PSAT, and other assessments; trains staff, resolves testing barriers, maintains equipment and office supplies, enters PEIMS data in PowerSchool, and collaborates with families, schools, technology teams, vendors, and state testing authorities. The role requires two weekly San Antonio office days and up to 20% travel.

Lead AI strategy and implementation across a digital agency, partnering with senior leadership and department directors. Design AI workflows and systems, run iterative sprints, manage architecture and project planning, and oversee implementation, testing, QA, adoption, and data governance. Translate AI opportunities into scalable operational plans across creative, marketing, ecommerce, lifecycle marketing, and web teams while simplifying complex concepts for cross-functional stakeholders.

Designs and oversees reusable agentic AI architectures for client engagements. Translates business problems into technical requirements, evaluates build-versus-buy decisions, establishes orchestration and human-in-the-loop controls, and guides nearshore engineering teams. The role also identifies reusable intellectual property, supports client growth, and communicates ROI, margins, and technical risk to executives and consulting partners.