Top Artificial Intelligence Jobs

Provides first-line customer and technical support through calls and email, troubleshoots basic software issues, documents resolutions, escalates complex cases, and follows up to ensure customer satisfaction. Maintains knowledge bases and FAQs, collaborates with development, QA, and operations teams, communicates feedback and feature requests, and identifies improvements to support processes. Requires strong English communication, empathy, problem-solving skills, ticketing-system experience, and availability for a night shift.

Own end-to-end onboarding and deployment of Chasi for equipment dealers and rental companies. Diagnose technical and workflow issues, drive user adoption, measure ROI, expand accounts, and relay customer feedback to product and engineering. Over time, shape product direction, develop repeatable growth and partner initiatives, build deployment playbooks, and help hire and train future deployment staff.

Design product experiences for a B2B agentic support platform, collaborating closely with founders, product, and engineering. Responsibilities include understanding customer problems, shaping user flows, creating high-fidelity UI/UX designs, rapidly handing designs to engineering, building the design system, facilitating decisions, and validating design choices with analytics.

Develop spatial AI and perception systems for autonomous mobile robots operating in dynamic warehouses and yards. Train and evaluate models using real multimodal fleet data, improve 3D scene representations and state estimation, and develop evaluation methods. Take research concepts from literature through on-vehicle validation and productionization, collaborating with software and test engineering on data, annotation, calibration, monitoring, and simulation infrastructure.

Own end-to-end deployment of AI-powered workflows for a strategic private-capital customer. Build and operate production systems for deal intake, scoring, account mapping, portfolio reporting, and pipeline management; integrate Salesforce, DealCloud, SharePoint, and other data sources; debug live systems; advise customer executives; and translate field insights into product direction and repeatable deployment frameworks.

Own customer outcomes for mid-market and enterprise AI accounts from onboarding through expansion. Drive adoption, retention, and growth through relationship building, success planning, QBRs, health monitoring, forecasting, and consultative guidance. Partner cross-functionally with Product, Engineering, Sales, and Support to resolve issues, advocate for customers, and influence product priorities.

Develop AI-powered patent products for large-molecule life sciences, including sequence analysis, biologics claim generation, sequence listings, and prior-art searching. Partner with product and engineering teams, pharmaceutical and biotech customers, and patent counsel to design and deploy workflow solutions. Apply expertise in biologics patent prosecution, claim strategy, molecular biology, biochemistry, immunology, sequence data, and patentability requirements while identifying opportunities across emerging therapeutic modalities.

Lead Rembrand’s premium content supply strategy by closing deals with streaming platforms, networks, studios, and content owners. Own partner relationships, rights and clearance workflows, commercial terms, advertiser RFP support, content packaging, and programmatic supply expansion. The role requires deep expertise in ad tech, CTV, streaming economics, media rights, and enterprise business development.

Designs and maintains automated end-to-end and API tests using Cypress, WebDriverIO, and Karate. Develops test scripts with JavaScript or TypeScript in Node.js environments, executes test suites, analyzes results, identifies defects, and collaborates with engineering teams on resolution. The role contributes to test strategy, regression and performance testing, code reviews, test coverage, and continuous quality improvements.

Own the full B2B sales cycle for industrial intelligence solutions, from prospecting and discovery through technical validation, negotiation, and close. Build relationships with manufacturing leaders, develop ROI cases, manage pipelines, coordinate pilots with engineering, and expand successful deployments across facilities and business units. The role requires consultative selling, technical curiosity, AI fluency, CRM discipline, and regular travel to customer manufacturing sites while working in person in Pittsburgh.