Manager, Enterprise AI Adoption

Location
:
Remote-US;
San Francisco (hybrid)

Employment Type
:
Full time

Location Type
:
Remote

Department
:
Customer Success

Compensation
:
The OTE for this role is $150K – $200K
• Offers Equity
• This role has a $150k base and a $50k variable. The salary range provided reflects the compensation that Even Up reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.

Even Up is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at

At Even Up, we don’t just “onboard” customers—we ignite transformation. Our Enterprise AI Adoption team ensures that the largest and most strategic law firms realize the full power of our Claims Intelligence Platform from day one, enabling AI-powered workflows at scale.

As the Manager, Enterprise AI Adoption, you will lead the team responsible for the most critical phase of the customer journey: the first 30 days. You and your team will guide firms through operational change, drive early adoption, and ensure customers experience the “Aha!” moment that makes Even Up indispensable. This role is equal parts leader, operator, and strategist. You will coach a team of AI Adoption Managers, build scalable playbooks for enterprise onboarding, and partner closely with Sales, Product, Engineering, and Customer Success to ensure Even Up customers achieve value faster than they thought possible.

The first 30 days define the next 3 years—and your team owns that outcome.

• You Build High-Performance Teams: You know that great customer outcomes come from great people. You hire, coach, and develop team members to operate with urgency, ownership, and deep customer empathy. You hold a high bar and create an environment where your team can do their best work.

• You Thrive in Ambiguity: You enjoy building in fast-moving environments where processes are still evolving. Instead of waiting for perfect structure, you create it. You’re energized by solving messy problems and building repeatable systems from early-stage workflows.

• You Think Like an Operator: You balance strategy with execution. You’re comfortable zooming out to design scalable onboarding programs while also diving into the details to remove roadblocks for your team and customers.

• You Obsess Over Customer Outcomes: You believe adoption is the strongest indicator of long-term success. You look beyond onboarding checklists and focus on whether customers are truly transforming how they work.

• Hire, mentor, and develop a team of AI Adoption Managers responsible for onboarding Even Up’s enterprise customers.

• Coach team members on executive communication, change management, and driving adoption across complex organizations.

• Establish performance metrics focused on activation speed, product adoption, and early customer outcomes.

• Foster a culture of ownership, curiosity, and continuous improvement across the team.

• Design and refine scalable onboarding playbooks that ensure enterprise customers achieve value within their first 30 days.

• Define best practices for guiding firms through operational and workflow changes required to adopt Even Up’s AI platform.

• Partner with Product and Data teams to define the key adoption metrics that signal long-term success.

• Continuously improve onboarding…