Engineering Manager

Sorry, this job was removed at 10:18 p.m. (CST) on Tuesday, Feb 10, 2026
7 Locations
In-Office or Remote
Artificial Intelligence • Software
The Role
About LMArena

LMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use.

Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.

We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.

About the Role

As an Engineering Manager at LMArena, you’ll play a key leadership role in shaping our engineering team, product development practices, and technical direction. You’ll manage and grow a team of engineers while partnering closely with cross-functional stakeholders to drive execution and deliver high-impact work.

This is a great opportunity for someone who enjoys building strong teams, establishing engineering best practices, and working in a fast-moving, startup environment.

You’ll
  • Lead, mentor, and grow a high-performing engineering team

  • Partner with Product, Design, and Leadership to define technical roadmaps and deliver projects

  • Drive engineering execution from planning through delivery

  • Create and maintain a culture of technical excellence, inclusion, and collaboration

  • Help establish team processes, workflows, and development standards

  • Participate in architecture and code reviews as needed

  • Identify and remove blockers, manage resourcing, and support career growth for team members

You’ll have
  • Have a strong product intuition and taste for user experience excellence.

  • Ability to make hard technical tradeoffs as well as remove engineering blockers.

  • Strong organizational skills for managing and delivering parallel technical projects.

  • Experience growing and managing medium size teams of engineers.

  • Experience leveraging the right combination of open source and in-house solutions.

  • 9+ years of general engineering experience.

  • 5+ years of engineering management experience.

What we offer
  • We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.

  • Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.

  • The opportunity to work on cutting-edge AI with a small, mission-driven team

  • A culture that values transparency, trust, and community impact

Come help build the space where anyone can explore and help shape the future of AI.

LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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The Company
HQ: San Francisco, California
28 Employees
Year Founded: 2025

What We Do

Created by researchers from UC Berkeley, LMArena is an open platform where everyone can easily access, explore, and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.

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