Top Remote Entry Level Jobs in Pittsburgh, PA

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.

Co-develop an EIC Pathfinder proposal focused on trustworthy cognitive AI, including causal reasoning, abstraction, planning under uncertainty, methodology, related work, and evaluation design. The researcher will help build a working TRL 3/4 system, develop benchmarks, and collaborate closely with a startup team through submission and subsequent project activities.

Designs, develops, tests, and implements Microsoft Power Platform solutions for clients. Builds Power Apps using Dataverse, Power Automate, SharePoint, Excel, and Forms; creates Power BI analytics with Power Query and DAX; designs data models; integrates systems; modernizes legacy applications; troubleshoots and optimizes solutions; and communicates requirements, designs, progress, and documentation to clients and project teams.

Conduct high-volume outbound prospecting across the US and Canada, research prospects, personalize outreach, qualify opportunities, and schedule meetings for the Sales team. Maintain accurate CRM records, support pipeline reporting, collaborate on sales and marketing optimization, provide market feedback, and attend industry events as needed.

Monitor prediction markets and perpetual futures by tracking news, trader sentiment, venues, volumes, open interest, funding rates, and market share. Research protocols and users, build dashboards and datasets, identify product opportunities for Pyth, size opportunities with market and on-chain data, and collaborate with product, engineering, and business development teams. Write research reports, present recommendations to leadership, and evaluate launched initiatives against their original theses.

Manage inbound phone leads from prospective life insurance customers, explain coverage and industry terminology, and guide customers through the application process using a consultative sales approach. Collaborate with teammates to resolve complex customer needs, meet performance metrics, and improve sales results through coaching and ongoing development. The role is remote, customer-facing, and may include evening and weekend work.

Provide technical support, training, troubleshooting, and customer assistance through ticket, phone, and chat channels. Build and maintain customer documentation, tutorials, and training materials. Advocate for customers by gathering feedback, escalating issues, identifying trends, and collaborating cross-functionally. Help establish scalable support processes, monitor support metrics, and improve customer satisfaction, retention, and software adoption.

Supports laboratory instrument sales across the Central Region by demonstrating products, prospecting, following up on leads, preparing quotations, managing customer relationships, and coordinating key accounts. Uses Salesforce for opportunity management and reporting, develops territory sales plans, presents to professional organizations, and learns scientific principles related to metallurgical, spectroscopy, thermal, and elemental analysis equipment.

Manage client and influencer relationships, oversee campaigns from pitching through delivery, identify upselling and creative expansion opportunities, and coordinate cross-functional execution. The role requires fluent English and Italian, strong communication and influencing skills, adaptability, relationship-building, and proficiency with Notion and CRM tools such as HubSpot. This is a remote European position with occasional travel.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.