Jobs at Tutor Intelligence

Generate qualified pipeline across mid-market to enterprise manufacturers, distributors, 3PLs, and logistics providers. Conduct multi-channel outbound prospecting, qualify leads, map stakeholders across multi-site organizations, and collaborate with Enterprise Sales to schedule discovery meetings and maintain CRM data.

As a Robotics Research Scientist Intern, you will build AI algorithms for robotics in factories, focusing on problem-solving and collaboration with a team.

Lead end-to-end robot hardware development: design, prototype, manufacture, deploy, and support robots. Mentor engineers, collaborate cross-functionally, iterate rapidly, and own system-level tradeoffs.

Manage enterprise customer relationships, ensuring successful robotics deployment, aligning outcomes with business goals, and driving account growth through effective communication and cross-functional coordination.

As a Research Engineer, you'll develop AI algorithms and systems for robotics, emphasizing programming skills and collaboration in a team setting.

The Customer Success Manager will build strong relationships with clients, support robot deployment, troubleshoot issues, and drive customer growth by collaborating with cross-functional teams.

Develop AI algorithms and systems for robotics to drive advancements in physical automation. Collaborate within a team to tackle complex challenges.

Lead commercialization for the Cassie product line: drive sales and partnerships, own roadmap and financials, translate technical requirements into customer-facing solutions, coordinate stakeholders, and produce high-volume clear written communication to advance product and strategic opportunities.

Own a portfolio of customer sites running Tutor robots: diagnose software and hardware issues, build scripts/tooling and playbooks to automate recurring work, partner with engineering on fixes, track fleet health, and maintain customer relationships while spending onsite and remote time.

Own end-to-end customer deployments for on-site robotics: coordinate site readiness, timelines, delivery, and cross-functional stakeholders; identify and resolve risks; document and improve deployment playbooks; support early post-launch stabilization and handoff to Customer Success.

The Account Executive will drive mid-market sales of robotic palletizing solutions, managing the full sales cycle from creation to close, primarily targeting operations leaders and plant managers in various industrial sectors.

Lead and build Tutor's marketing function: own category, brand, product marketing, demand generation, events, and PR. Define strategy and measurement tied to revenue, partner tightly with Sales, recruit a small AI-amplified team, and scale marketing across mid-market and enterprise motions while converting deployments into customer proof and pipeline.

Lead product marketing for Tutor's robotics products: create messaging, case-study engine, ROI collateral, product launches, sales enablement, and AI-native content pipelines. Partner closely with Sales, Engineering, Research, and founders and drive external storytelling and content production.

The role requires managing customer sites using Tutor robots, diagnosing operational issues, and working closely with engineering to enhance performance.

Manage customer robotics deployments, diagnose and resolve technical issues, partner with engineering for improvements, and maintain customer relationships.

This role involves architecting and engineering software for robotics, backend services, and machine learning systems, while collaborating on new projects.

As a Robotics Software Engineer, you will develop software for robots, focusing on real-time code execution, motion planning, and optimization systems while collaborating in a team environment.

Responsible for generating qualified sales leads, collaborating with sales teams, and maintaining CRM data. Requires 1-2 years of technical sales experience.

Design and implement robotics control interfaces, own projects from concept to deployment, and enhance system reliability in production environments.

Architect and engineer core software for robotic and machine learning systems, contribute to project planning, and collaborate within teams.