Engagement Manager

Reinforced Learning

Town of Tonawanda (NY)

On-site

USD 120,000 - 170,000

Full time

10 hours ago
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Job summary

Reinforced Learning seeks an Engagement Manager to own the primary relationships for its frontier AI lab customers, focusing on renewals, expansion, and durable partnerships.

You will lead executive reviews and contract negotiations, while feeding customer feedback into product and engineering decisions to shape how the company builds long-term partnerships at scale.

Qualifications

  • 3+ YOE in a relevant role- strong candidates often come directly from account management roles at data companies or engagement management roles in other industries.
  • High agency, drive, and a strong work ethic; thrive in ambiguity and execute with minimal direction
  • Strong leadership and communication skills, with the ability to hold the room with senior AI researchers and technology industry executives.
  • Competitive nature and demonstrated past success.

Responsibilities

  • Own and grow strategic accounts: Serve as the primary point of contact for key frontier AI labs, driving retention, expansion, and long-term partnerships.
  • Drive revenue growth: Identify and close upsell, cross-sell, and new use-case opportunities across existing customers.
  • Lead executive relationships: Run business reviews, strategic check-ins, and commercial negotiations, including master services agreements.
  • Champion the voice of the customer: Partner closely with operations, product, and engineering to ensure customer needs are met and feedback shapes our roadmap.
  • Build the customer engagement function: Create account management, customer health, and expansion playbooks from the ground up as one of Reinforced Learning’s first dedicated customer engagement managers.
  • Operate as an early company builder: Drive cross-functional initiatives and help define how Reinforced Learning engages with customers as we scale.

Job description

Overview

As an Engagement Manager, you will act as the main relationship owner for Reinforced Learning's most important frontier AI lab customers, focused on renewals, expansion, and lasting partnerships rather than one-off deals. They’ll pursue new revenue within existing accounts, run senior-level touchpoints like quarterly reviews and contract negotiations, and feed customer input back into product and engineering decisions. As one of the company's first hires dedicated to this function, they’ll also be building the account management and customer health processes from scratch while helping shape how Reinforced Learning approaches customer relationships going forward.

Responsibilities
  • Own and grow strategic accounts: Serve as the primary point of contact for key frontier AI labs, driving retention, expansion, and long-term partnerships.
  • Drive revenue growth: Identify and close upsell, cross-sell, and new use-case opportunities across existing customers.
  • Lead executive relationships: Run business reviews, strategic check-ins, and commercial negotiations, including master services agreements.
  • Champion the voice of the customer: Partner closely with operations, product, and engineering to ensure customer needs are met and feedback shapes our roadmap.
  • Build the customer engagement function: Create account management, customer health, and expansion playbooks from the ground up as one of Reinforced Learning’s first dedicated customer engagement managers.
  • Operate as an early company builder: Drive cross-functional initiatives and help define how Reinforced Learning engages with customers as we scale.
Required Qualifications
  • 3+ YOE in a relevant role- strong candidates often come directly from account management roles at data companies or engagement management roles in other industries.
  • High agency, drive, and a strong work ethic; thrive in ambiguity and execute with minimal direction
  • Strong leadership and communication skills, with the ability to hold the room with senior AI researchers and technology industry executives.
  • Competitive nature and demonstrated past success
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