Top Artificial Intelligence Jobs in Pittsburgh, PA

Own the technical relationship for strategic enterprise SaaS accounts after launch. Responsibilities include troubleshooting and escalating issues, managing SLA commitments, monitoring integrations, leading technical onboarding, conducting health reviews, supporting renewals and expansions, documenting solutions, and translating customer requirements into product feedback. The role requires strong SaaS technical support, enterprise communication, integration troubleshooting, and relationship-management skills, with familiarity in SSO, APIs, webhooks, logs, and CRM or support platforms.

Own the full B2B sales cycle, including sourcing, qualifying, and closing opportunities. Manage complex deals involving executives, operations, loss prevention, and IT; build strategic partner relationships; maintain CRM discipline; coordinate with product, implementation, and customer success teams; and represent Panoptyc in executive meetings. Frequent travel to conferences, customer meetings, and pilots is required.

Own the full sales cycle for Supio’s AI platform, prospecting law firms, conducting outreach, building relationships, presenting solutions, closing new business, and achieving revenue targets. Attend industry events, maintain accurate CRM pipeline data, and collaborate with marketing, product, and customer success teams. The role focuses on expanding mid-market sales within the legal community and requires strong communication, organization, sales execution, and interest in AI and legal technology.

Owns the company’s finance and accounting operations, including bookkeeping, reconciliations, payroll coordination, invoicing, financial modeling, and vendor accounting relationships. Also manages HR administration, employee support, legal and compliance coordination, office operations, executive support, recruiting coordination, and vendors. The role requires strong attention to detail, judgment, urgency, and broad ownership across startup operations.

Build and operate Firecrawl’s legal operations function from scratch. Responsibilities include implementing contract, compliance, matter management, e-billing, and legal technology systems; managing contract intake and routing; overseeing outside counsel and vendors; tracking legal spend, contract volume, and turnaround times; supporting regulatory research; and automating repetitive workflows with technology and AI. The role partners closely with finance, sales, product, engineering, HR, security, and leadership.

Manage the full enterprise sales lifecycle across the US West, including prospecting, qualification, solution selling, negotiations, and closing. Develop territory strategies, engage developer and open-source communities, maintain pipeline forecasts and CRM records, and sell AI, vector search, and cloud-native solutions to enterprise customers. The role requires B2B SaaS sales experience, technical fluency, strong communication, and the ability to operate independently in a fast-growing startup.

Own full-cycle enterprise sales across North America, from outbound prospecting and discovery through technical validation, negotiation, and closing. Build pipeline, land new enterprise customers, develop champions, and expand deployments. Engage engineering executives, collaborate with Field Engineering, Marketing, and Product, provide customer feedback, maintain accurate CRM data, and help develop the enterprise sales playbook for an emerging AI software development category.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Own the full enterprise sales cycle for Oversee’s leisure travel business, from prospecting through closing. Build relationships with OTAs, agencies, tour operators, and vacation providers; develop pipeline; identify target segments and use cases; refine positioning and sales strategy; lead complex stakeholder processes; and partner with Product and Engineering to convert market insights into a repeatable leisure sales motion.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.