Top Entry Level Jobs in Pittsburgh, PA

Designs and executes network equipment test plans, validates Ciena product interoperability, supports optical and Ethernet network implementation, and provides onsite engineering expertise. Responsibilities include equipment commissioning, inventory verification, troubleshooting, performance analysis, customer support, standards development, documentation, and Tier III/IV deployment assistance. The role requires expertise in Ciena platforms, SONET, DWDM, ROADM, Ethernet, IP/MPLS, network management systems, and legacy TDM technologies.

Provide Level 1 technical support for Canvas LMS users, administrators, faculty, staff, and students through tickets, phone, and live chat. Troubleshoot user issues, answer how-to questions, replicate and document simple bugs, maintain thorough ticket records, provide timely updates, and escalate unresolved issues to Tier 2 Support. The role also includes creating support documentation and assisting users in English and Spanish.

Own the Bay Area enterprise sales territory, targeting security leaders across major industries. Drive complex cybersecurity deals from prospecting through negotiation and close, convert pilots into multi-year agreements, expand customer accounts, and build executive relationships. Refine positioning, pricing, and sales processes while feeding market insights back to product and leadership.

Serve as Mastra’s founding account executive, managing a warm pipeline and executing a full-cycle, mid-market sales motion. Sell AI agent platform products to engineering leaders, run discovery, scope solutions, navigate procurement, and close deals. The role requires understanding developer frameworks, adapting sales processes, handling ambiguity, and selling to startups with varied budgets. The hire will help refine the sales motion and support future team growth.

Develop and evaluate foundational deep learning methods, including transformers, embeddings, and neural networks, for credit modeling and loss prediction. Integrate models into ML pipelines, apply representation learning to financial data, and build specialized AI agents for data science and business workflows. Collaborate with technical and product teams, communicate findings, mentor colleagues, and measure model impact on customer and business outcomes.

Drives execution across the Medication Contracting portfolio by developing integrated project plans, coordinating stakeholders and dependencies, tracking risks and decisions, leading stand-ups, managing governance reporting, improving CRM and portfolio processes, and supporting change management. The role also leads selected workstreams and process-improvement initiatives while partnering with health plans, contracting teams, business analysts, and executive stakeholders.

Provides frontline support for carrier activities, including selecting carriers for sales opportunities, handling routine customer inquiries, negotiating transaction costs, resolving issues, and escalating opportunities for improvement. This hybrid role requires commuting to Downtown Akron, Ohio, or Green Bay, Wisconsin. Candidates need a high school diploma or GED and 0–1 year of operations or related experience.

Manage key customer accounts and support sales operations, client onboarding, quoting, contract negotiations, order processing, forecasting, and fulfillment coordination. Partner with Account Executives, customers, and internal teams to deliver accurate service, improve customer experience, identify risks, and support remediation. The role requires strong organization, communication, adaptability, relationship-building, and customer advocacy skills.

Own and architect core AI pharmacy products, including prior authorization pipelines, Epic integrations, patient communications, and production agentic systems. Build hands-on software using LLMs, RAG, function calling, and evaluation workflows in a regulated healthcare environment. Set engineering standards, make architectural decisions, manage delivery across product milestones, and collaborate across teams to ship reliable solutions that improve pharmacy operations.

Design and deploy production-grade Generative AI, LLM, and multi-agent solutions for enterprise clients. Lead AI adoption roadmaps, architecture, integrations, APIs, proof-of-concepts, production deployments, and engineering standards. Advise executives, lead technical teams, and implement responsible AI controls covering security, privacy, governance, observability, and human oversight. Apply Azure and other cloud AI platforms, RAG, MCP, A2A interoperability, LLMOps, evaluation, monitoring, and inference optimization.