Top Remote Entry Level Jobs in Pittsburgh, PA

Build and maintain production data ingestion pipelines, transformation models, warehouses, and schemas for PerfectServe’s data platform. Deploy reliable, tested pipelines using idempotency and data-quality checks, apply dimensional and medallion modeling, participate in design reviews, and document owned pipelines and runbooks. The role requires SQL, programming experience, dbt or similar transformation tools, cloud data warehouse experience, ELT orchestration, AWS knowledge, and a strong data-testing mindset.

Provide technical customer support for HappyRobot’s AI platform by triaging, debugging, and resolving customer issues. Diagnose root causes, design and test solutions, collaborate with engineering and product teams, and help customers optimize AI workers through prompt engineering and voice or transcription tuning. The role requires clear communication, independent prioritization, adaptability, and strong problem-solving skills.

Generates qualified sales pipeline across a defined U.S. territory through personalized outbound prospecting. Responsibilities include researching target accounts, creating multi-channel sequences, qualifying inbound and marketing leads, booking productive meetings, maintaining Salesforce records, coordinating with ABM marketing, and partnering with account executives on territory strategy and handoffs.

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.

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.

Own a portfolio of 30–40 mobile app clients, guiding onboarding, integration, funnel and paywall optimization, product adoption, retention, expansion, and cross-sell opportunities. Analyze subscription monetization and user acquisition performance, recommend A/B tests, resolve technical questions, gather customer feedback, and act as a strategic growth partner while driving commercial outcomes.

Bring companies to Refer by identifying hiring organizations, pitching the AI career agent, and converting them into signed customers. This commission-only role offers complete schedule and location flexibility, with earnings based on each company acquired and no base salary or commission cap.

Provides bilingual Portuguese customer support by answering inquiries, explaining products and services, troubleshooting issues, resolving complaints, and documenting customer interactions. Maintains current product knowledge and delivers professional service remotely. Candidates must be U.S. residents, at least 18, have a high school diploma or equivalent, pass background and drug screenings, and meet specified home-office technology requirements.