Channel Manager, East Coast (Sales)

Posted 5 Days Ago
Be an Early Applicant
13 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Robotics • Automation • Manufacturing
The Role
Build and manage a partner ecosystem across the U.S. East Coast by recruiting, onboarding, enabling, and co-selling with systems integrators, distributors, and resellers to drive partner-led revenue and embed Trener's AI robotics platform in manufacturing environments.
Summary Generated by Built In
Channel Manager, East Coast (Sales)

Location: East Coast, United States (Remote with Travel)

At Trener, we are transforming how industrial robots are programmed using AI. Our platform enables robots to reason, adapt, and execute complex manufacturing tasks with greater speed and flexibility.

We are looking for a Channel Manager to build and grow relationships with systems integrators, distributors, robotics partners, and strategic resellers across the Eastern United States.

Your Mission

Your mission is to create leverage.

By building a high-performing partner ecosystem, you will extend Trener’s reach and help customers adopt intelligent robotics through trusted local experts and integration partners.

What You Will Do
  • Identify, recruit, and onboard high-potential channel partners.

  • Build joint business plans and revenue targets.

  • Train partners on Trener’s platform, positioning, and ideal use cases.

  • Support co-selling opportunities with partner sales and technical teams.

  • Develop partner enablement materials and certification paths.

  • Manage partner performance and pipeline health.

  • Represent Trener at industry events and partner meetings.

  • Serve as the voice of the partner ecosystem internally.

What We Are Looking For
  • 5–10 years of experience in channel sales, partner development, or strategic alliances.

  • Experience in industrial automation, robotics, manufacturing software, or related technology.

  • Strong relationship-building and business development skills.

  • Ability to navigate both technical and commercial conversations.

  • Experience with systems integrators and manufacturing-focused channel ecosystems.

What Success Looks Like
  • Strategic partners are actively sourcing and closing opportunities.

  • Partners can independently position and support Trener.

  • Revenue scales through partner-led deals.

  • Trener becomes embedded in the automation ecosystem.

Why Join Trener
  • Work at the forefront of Physical AI and industrial robotics.

  • Help shape the future of manufacturing automation.

  • Influence both commercial growth and product strategy.

  • Join a well-funded, fast-growing company with global ambitions.

  • Collaborate with experts in robotics, AI, and industrial automation.

  • Build a role that combines business development, strategic discovery, and market intelligence.

Join Us

If you enjoy opening doors, understanding complex customer problems, and helping shape what a company builds next, we would love to hear from you.

At Trener, business development is more than pipeline generation. It is how we discover where the market is headed and how our technology can create the greatest impact.

Skills Required

  • 5-10 years of experience in channel sales, partner development, or strategic alliances
  • Experience in industrial automation, robotics, manufacturing software, or related technology
  • Strong relationship-building and business development skills
  • Ability to navigate both technical and commercial conversations
  • Experience working with systems integrators and manufacturing-focused channel ecosystems
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The Company
45 Employees
Year Founded: 2024

What We Do

Trener Robotics is a Physical AI company that builds the intelligence layer for industrial robots. Its platform, Acteris, leverages artificial intelligence to enable natural language programming, allowing industrial robots to operate autonomously, adapt to variability, and perform complex manufacturing tasks. The company aims to transform traditional, scripted machines into intelligent, self-learning systems to accelerate the deployment of advanced industrial automation.

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