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Engineering Manager, AI

Team

Engineering

Location

San Francisco, United States

Apply on Gem
ABOUT RETOOL
Nearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. But most companies don’t have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.
At Retool, we’re on a mission to bring good software to everyone. We’re building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. And that’s a mission worth striving for.
Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business. Interested in joining us? Let us know!

WHY WE’RE LOOKING FOR YOU
As Retool’s AI surface area grows, quality becomes the product. In this role, you’ll lead the team responsible for defining, measuring, and continuously improving quality across Retool’s Assist experience and related platform capabilities. Your mission is to build the systems, tools, and culture that help teams answer a deceptively hard question: “Is this actually good and how do we make it better?”
This work sits at the intersection of AI, product, and platform engineering. While some of the problems involve LLMs and AI evaluation, success in this role is less about prior specialization in AI research and more about strong instincts for building scalable quality systems—the kind that make correctness, relevance, and reliability measurable and repeatable as products evolve.
Prior experience with LLMs or AI evaluation tools is helpful, but not required. We’re excited about leaders who bring strong quality instincts and are eager to apply them to an emerging problem space. The systems you build will shape how our customers trust AI-powered software. You’ll influence not just what we ship, but how we ship: faster, more confidently, and with quality baked in from the start.
You’ll lead engineers working on:
  • Evaluation & experimentation platforms that let teams compare performance across models, configurations, and releases
  • Quality systems that define rubrics, metrics, and feedback loops for both AI and non-AI experiences
  • Data curation & feedback pipelines grounded in real-world usage
  • Search, retrieval, and relevance quality, ensuring results are accurate, fast, and trustworthy
  • Reusable infrastructure that other teams can leverage to ship higher-quality features with confidence
  • A culture of continuous improvement, where measurement, iteration, and learning are the default
IN THIS ROLE, YOU WILL
  • Lead and grow a team of engineers, supporting their development through coaching, feedback, and clear expectations
  • Partner closely with Product, Design, and other Engineering leaders to define quality goals aligned with business outcomes
  • Translate ambiguous problem spaces into clear strategies, roadmaps, and execution plans
  • Build scalable, repeatable processes that help teams ship faster without sacrificing quality
  • Establish standards and tooling that enable rapid iteration with confidence
  • Act as a multiplier across the organization by building platforms other teams rely on
  • Partner with Recruiting to build a diverse, high-performing team of motivated engineers
THE SKILLSET YOU’LL BRING
  • 3+ years of experience leading and managing engineering teams
  • Experience designing or operating systems that measure quality, correctness, or performance at scale
  • Strong technical curiosity. You enjoy engaging in architecture, reviewing designs, and getting hands-on when it matters
  • A track record of leading teams through change and ambiguity
  • The ability to set clear strategy while staying grounded in execution and impact
  • A product-minded approach: you care deeply about customers, outcomes, and long-term maintainability
  • Thoughtfulness around engineering culture, process, and team health
  • Clear, structured communication and strong stakeholder management skills
  • A collaborative mindset and comfort partnering across functions

For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
The base pay range for this role is $260,100 – $360,000 per year.

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!
Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.