Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead customer implementations and migrations of H1’s SaaS and data solutions. Own project plans, customer deliverables, KPIs, communications, and cross-functional coordination across Professional Services, Customer Success, Product, and Engineering. Improve scalable services processes, manage high-visibility initiatives, communicate technical updates, and advocate for customers while ensuring high-quality delivery and satisfaction.

Make phone calls to nonprofit executive directors using a provided parallel dialer and script, qualify prospects, schedule 30-minute consultations, and record activity in the CRM. The role is fully remote, 40 hours weekly during US business hours, with a 20-hour paid trial week. Compensation includes a $20 hourly base, attended-consult bonuses, and signed-client bonuses.

The Senior Data Scientist will analyze large-scale customer data, investigate behavioral questions, design and automate studies, and translate findings into actionable recommendations. The role includes maintaining analytics frameworks, documenting methodologies, writing white papers, and communicating insights across the company. Candidates should be independent, comfortable with ambiguity, and experienced with SQL and Redshift. Python or R, machine learning, Spark, A/B testing, and cross-functional experience are preferred.

Own a portfolio of strategic enterprise customers from implementation through renewal. Build success plans, manage adoption and value realization, engage executives, forecast renewals, mitigate churn risk, and identify expansion opportunities with Account Management. Lead business reviews, roadmap discussions, customer escalations, and cross-functional coordination. Translate customer feedback into product priorities and advise executives on agentic AI, generative AI, and enterprise CX opportunities and risks.

Drive revenue growth by developing strategic publisher partnerships, expanding the publisher network, prospecting and closing enterprise accounts, managing complex sales cycles, exceeding targets, forecasting pipeline performance, and maintaining long-term stakeholder relationships. The role requires close collaboration with internal teams and strong communication in a fast-paced startup environment.

Build and maintain 3D pipeline integrations, plugins, exporters, and platform connections across DCC tools and SaaS destinations. Own integrations from scoping through deployment, documentation, release, and support. Ensure asset fidelity across formats, materials, textures, scene scaling, and color spaces while troubleshooting complex multi-system pipelines. Collaborate with internal engineering teams, external platform vendors, and customers to resolve integration constraints and extend the shared integration framework.

Embed with client teams to design, build, and ship production-grade AI systems (LLM-powered apps, RAG, agents). Own architecture, write maintainable tested code, debug production issues, transfer knowledge, and contribute learnings, docs, and internal tooling.

Lead go-to-market strategy and launches for an agentic AI business unit serving regulated life sciences buyers. Develop product positioning, messaging, narratives, sales enablement, campaigns, and customer-facing value propositions. Partner with Product, Sales, Demand Generation, and Revenue Operations, track pipeline and revenue impact, and use AI tools to streamline marketing execution. The role requires B2B SaaS or technology marketing experience, strong technical writing, product launch expertise, and cross-time-zone collaboration.

Develop and lead high-impact Simio simulation models and projects: produce functional specifications, validate and analyze models, present results, train/support clients, assist pre-sales and represent the company at events.

Build and execute integrated B2B demand-generation programs across ABM, events, paid media, content, digital, and sales-assisted channels. Own target-account strategy, manage paid media performance, create executive events, partner with Sales, and use HubSpot reporting to improve funnel conversion and pipeline contribution. The role requires experimentation, analytical rigor, and hands-on execution in an early-stage SaaS environment.