Top Artificial Intelligence Project Management Jobs

Lead end-to-end delivery of complex industrial software projects from initiation through go-live, hypercare, and handoff. Define scope, schedules, staffing, governance, and delivery methods; manage executive communications, risks, negotiations, and customer expectations. Coordinate solution architects, engineers, OT and IT teams, DevOps, QA, data specialists, and site services across multi-site deployments. Oversee integrations involving MES, SCADA, IoT, ERP, PLM, MOM, historians, data lakes, and manufacturing analytics.

Leads projects from initiation through completion by defining scope, plans, timelines, milestones, and deliverables. Coordinates cross-functional teams, manages stakeholders, tracks performance, identifies risks and issues, develops mitigation plans, and provides status updates. Maintains project documentation, supports change management, improves project processes, and manages multiple priorities while ensuring timely delivery aligned with business objectives.

Lead scientific programs for robotics and embodied AI data generation. Develop operating plans, manage scientific partnerships, launch workflows, coordinate equipment and teams, oversee quality, throughput, schedules, and costs, and improve program performance across locations. The role requires hands-on execution, operational decision-making under uncertainty, vendor and logistics coordination, and practical scientific or laboratory fluency.

Lead multidisciplinary hardware development projects from concept through design, validation, manufacturing, certification, and product launch. Create integrated plans, manage milestones, risks, dependencies, suppliers, prototype and production builds, and manufacturing readiness. Coordinate engineering, quality, supply chain, and manufacturing teams while communicating progress and driving issue resolution. The role requires strong hardware development knowledge, project management expertise, and experience shipping physical products.

Join Scopic’s talent community for future AI-driven project management opportunities. The role involves owning client-facing projects end to end, managing scope, budgets, timelines, risks, and stakeholders; using agentic development tools to prototype and unblock technical work; reading code; directing engineering and QA priorities; translating ambiguous goals into buildable plans; and applying Agile and SDLC practices.

Supports commercial robotics deployments by tracking use-case milestones, KPIs, blockers, and action items. The intern coordinates across Commercial, Pilots, Engineering, and Operations, reports recurring updates, observes customer-site operations, captures issues and data, and owns projects through completion. The role requires hands-on work at customer sites, including warehouses and logistics facilities, with opportunities to contribute to operations, logistics, supply chain, data analysis, and dashboarding initiatives.

Own end-to-end delivery of AI data projects, including scoping, planning, budgeting, scheduling, execution, risk management, and quality control. Serve as the primary liaison among clients, suppliers, and internal teams while managing annotated datasets and project outputs. Improve workflows, reduce costs, resolve issues, and develop scalable solution frameworks. The role requires strong communication, organizational, client-management, and cross-functional collaboration skills in a global environment.

Senior Project Manager responsible for overseeing moderate to highly complex initiatives from discovery through closeout. Duties include budget and cost tracking, stakeholder and executive communication, meeting facilitation, risk and dependency management, action-item follow-up, and adapting to changing priorities. The role requires advanced Microsoft Project skills, strong financial project experience, emotional intelligence, negotiation ability, and enthusiasm for adopting AI tools. Work is remote or hybrid with in-person collaboration as needed.

Plan and drive cross-functional programs from design through launch. Coordinate teams, milestones, dependencies, risks, and deliverables while monitoring metrics and dashboards. Partner with product, engineering, marketing, operations, and go-to-market stakeholders to align priorities, resolve gaps, and maintain execution. Present clear progress updates, risks, trade-offs, and recommendations to senior leaders, adapting plans and improving processes to deliver measurable customer and business impact.

Leads moderately complex, cross-functional Revenue Operations initiatives from scoping through implementation and closeout. Translates strategic priorities into project plans, milestones, governance, and success measures; coordinates stakeholders across sales, systems, finance, product, engineering, marketing, and operations; manages risks, dependencies, decisions, and executive reporting; and supports business transformation, revenue technology implementations, CRM initiatives, process redesign, and scalable program-management practices.