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ABOUT RETOOL
Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. 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 building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software—and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production-grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.
Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for.
Let's build the future together!
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.
Retool San Francisco, California, USA Office
Retool's headquarters is in San Francisco's Mission District within walking distance to the 16th St. Bart station, great coffee shops, and SF institutions like Dandelion Chocolate and Tartine Manufacturing. We have dedicated parking, secure bike storage, and 24/7 onsite security.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
