Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.
We’re looking for a driven, consultative Account Executive to drive mid-market sales of our robotic palletizing solutions. You'll be responsible for owning the full sales cycle — from deal creation to close — selling to operations leaders, plant managers, and business owners in manufacturing, logistics, and 3PL environments. The ideal candidate has experience managing 6 figure deal sizes with sales cycles under 12 months, and thrives in a fast-paced, high-impact sales environment.
Responsibilities
Own and drive the full-cycle sales process from pipeline creation to close.
Execute a fast paced, discovery-led sales motion, identifying technical fit, operational pain points, and budget alignment.
Sell into key personas such as Operations Managers, Engineering Leads, and Owners/VPs.
Manage a healthy pipeline, targeting short sales cycles, and high win rates.
Collaborate cross-functionally with GTM and Deployment teams to ensure solution alignment.
Maintain accurate deal tracking and forecasting in CRM (HubSpot or equivalent).
Contribute feedback to help evolve sales playbooks, ICP targeting, and commercial offers.
Requirements
4–8+ years of experience in B2B sales, ideally in automation, robotics, capital equipment, or industrial tech.
Proven ability to consistently close deals of $50K–$250K in a solution or consultative sales model.
Track record of working mid-length sales cycles (2–6 months).
Ability to speak to both technical and operational value in a complex buying environment.
Comfortable managing multiple stakeholders and navigating facility-level purchasing processes.
Strong communicator and storyteller with a bias for action and closing.
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