Engineering Manager

Reposted 15 Days Ago
Be an Early Applicant
7 Locations
In-Office
Senior level
Artificial Intelligence • Software
The Role
The Engineering Manager will lead and grow an engineering team, collaborate with cross-functional teams, drive engineering execution, and establish engineering best practices.
Summary Generated by Built In
Engineering Manager at LMArena

Location: SF Bay Area

Type: Full-Time

About This 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.
Responsibilities

  • 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

Qualifications
  • 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.

Who is LMArena?

Created by researchers from UC Berkeley’s SkyLab, 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.

Why Join Us?

Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.

Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.

  • High Impact: Your work will be used daily by the world’s most advanced AI labs.

  • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier

  • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.

What we offer:

  • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.

  • Competitive salary and meaningful equity

  • Comprehensive healthcare coverage (medical, dental, vision)

  • 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.

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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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