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Define and build manufacturing, component, returned-part, and factory acceptance tests for electromechanical robots. Create procedures, fixtures, automated scripts, diagnostic tools, and failure-analysis processes. Debug hardware on the production floor, analyze manufacturing and field failure data, improve test coverage, drive corrective actions, and ensure results are traceable through MES and serial numbers.

This evergreen general application invites builders, engineers, and other professionals interested in contributing to Tutor Intelligence’s vertically integrated robotics company. Applicants should demonstrate ownership, curiosity, adaptability, collaboration, technical depth, and clear communication. Candidates must submit a LinkedIn profile and may include a resume, portfolio, GitHub, papers, or PDFs, along with the work and ideas they would like to pursue.

Own the full enterprise sales cycle for AI robotics solutions, from prospecting and discovery through demonstrations, pilots, business cases, negotiations, and contract execution. Build relationships with logistics, distribution, manufacturing, and warehouse customers; manage pipeline and forecasts; develop multi-site opportunities; and collaborate with technical and deployment teams to ensure successful implementation and account growth.

Own the full enterprise sales cycle for AI robotics solutions, from prospecting and discovery through demonstrations, pilots, business cases, negotiations, and contract execution. Build strategic relationships with logistics, distribution, manufacturing, and warehouse customers; develop multi-site opportunities; manage pipeline and forecasts; and collaborate with technical, product, and deployment teams to ensure successful implementation and account growth.

Own the full enterprise sales cycle for AI-powered robotics solutions, from prospecting and discovery through demonstrations, pilots, negotiations, and contract closure. Develop strategic relationships with 3PLs, distributors, manufacturers, and warehouse operators; build business cases; manage forecasts; and expand multi-site opportunities. Collaborate with technical, product, deployment, and customer success teams to ensure successful implementation and long-term account growth. Travel is required for customer meetings, site visits, demonstrations, and industry events.

Leads the operational side of a growing engineering organization across software and hardware. Owns engineering roadmaps, quarterly priorities, hiring, organizational structure, performance management, leadership development, processes, and cross-functional execution. Partners with the CTO on technical direction and supports the use of AI throughout engineering. The role oversees approximately 35 engineers initially, with responsibility for scaling the organization substantially.

Own the full sales cycle for robotic palletizing solutions, from pipeline creation through closing mid-market deals. Conduct discovery-led consultative sales with manufacturing, logistics, and 3PL customers; engage operations, engineering, and executive stakeholders; manage CRM forecasting; navigate complex purchasing processes; and collaborate with go-to-market and deployment teams. The role requires closing $50K–$250K solution sales and contributing to sales playbooks, ideal customer targeting, and commercial offers.

Generates qualified sales pipeline by researching and prospecting manufacturing accounts through email, phone, and LinkedIn. Qualifies leads, schedules discovery calls for Account Executives, collaborates with sales and marketing on targeted campaigns, maintains accurate CRM activity data, and provides feedback to improve messaging and outreach strategies.

Own the software infrastructure supporting robot data collection and experimentation. Build robot-side and backend services, data pipelines, telemetry, deployment systems, and operator tools. Improve observability, reliability, testing, recovery, and rollback while diagnosing failures across devices, Linux, networking, concurrency, and storage. Collaborate with researchers and operators to prioritize improvements, document systems, and deliver durable fixes that increase experiment throughput and data quality.

Designs and owns complex mechanical subsystems for AI robots, including mechanisms, end effectors, fixtures, mounts, enclosures, and sensor assemblies. Responsibilities span requirements definition, CAD, calculations, prototyping, fabrication, integration, validation, failure analysis, documentation, and reliability improvements. The role collaborates with electrical, software, and research teams to deliver repeatable, maintainable robotic hardware builds.