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Standard Bots

Designs and manufactures AI-native industrial robots

Applications Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • Candidates should be fluent across mechanical, electrical, and software domains, including PLC programming and ladder logic, pneumatics, DC power systems, robot programming, Python scripting, and CAD.
  • At least 5 years of hands-on applications engineering, systems integration, or automation engineering experience is required.
  • At least 2 years of people management or team lead experience is required.
  • Candidates need a strong customer-facing presence to manage difficult customer conversations, set expectations clearly, and represent the company credibly at a senior level.
  • Experience managing a distributed team or territory is required.
  • Candidates must be comfortable with up to 25% domestic travel for escalations, key customer engagements, and team support.
  • A bachelor's degree in Mechanical, Electrical, Mechatronics, or a related engineering discipline is required, or equivalent hands-on experience.

Responsibilities

  • Manage and develop a team of Applications Engineers across the territory by setting expectations, coaching technical and customer-facing skills, and building effective execution.
  • Own capacity planning and workload distribution across the team, assigning engineers to appropriate jobs and managing workload.
  • Set technical and cultural standards for the team.
  • Conduct regular one-on-ones, performance conversations, and development planning.
  • Own the applications engineering function for the territory from pre-sales proof-of-concept support through post-install customer success.
  • Serve as the senior technical escalation point for complex integrations, difficult customer situations, and troubled installs.
  • Partner with the Regional Sales Manager on territory priorities, pipeline, and customer strategy.
  • Maintain relationships with key customer accounts in the territory.
  • Design solutions, review integrations, commission cells, and support installs as needed.
  • Lead or co-lead technically complex or strategically important customer engagements.
  • Review and approve solution designs, proofs of concept, and integration plans produced by the team.
  • Travel to customer sites for escalations, key installs, and customer relationship needs, up to 25% domestically.
  • Define and enforce territory standards for documentation, handoffs, commissioning checklists, and customer training quality.
  • Share territory learnings with the broader applications engineering organization and product and engineering teams.
  • Help build playbooks, templates, and training materials to improve team performance and deployment repeatability.

Desired Qualifications

  • Prior experience with collaborative robots such as UR, Fanuc, KUKA, ABB, or similar.
  • Experience scaling an applications engineering or field engineering function.
  • Experience with vision systems, force/torque sensing, or custom end-of-arm tooling.
  • Familiarity with machine tending, palletizing, welding, or assembly automation applications.

About the Company

Standard Bots

Designs and manufactures AI-native industrial robots

Standard Bots designs and manufactures AI-native industrial robot arms and humanoids that learn tasks by demonstration rather than traditional programming. The robots are taught through demonstrations, and the company builds its own actuators and other hardware in the United States to provide end-to-end hardware and software for tasks such as machining, welding, palletizing, grinding, fastening, dispensing, assembly, and inspection. It differentiates itself by combining in-house actuation, U.S. manufacturing, and an AI-driven demonstration-based programming approach to offer a complete, scalable automation platform at prices aimed below legacy robots. Its goal is to expand U.S. manufacturing, grow its Glen Cove facility, and capture a large share of new domestic robot deployments, supported by its AI-native product development and funding.

Company size
51-200
Company stage
Series C
Total funding
$287M
Headquarters
Glen Cove, NY
Founded
2016

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