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Domino Data LabDL

Quality Engineering Team Lead

The enterprise data science management platform trusted by over 20% of the Fortune 100.

Domino Data Lab

Employee count: 51-200

Salary: 175k-220k USD

United States only

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Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

Our Quality Engineering team is at the center of how we ship software with speed and confidence. We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization — not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable. From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that the rest of engineering depends on to move quickly without breaking things.

We're investing in modernizing our pipelines, expanding our automation coverage, and evolving our culture around quality ownership. The person in this role will shape what that evolution looks like by setting the technical direction, mentoring a growing team, and acting as the connective tissue between Quality Engineering and the broader product and engineering organization.

What your impact will be

In your first year, you will:

  • Own our CI/CD systems end-to-end: audit the current state, redesign where needed, and drive measurable improvements in pipeline reliability, build/test cycle time, and overall developer experience within the first six months
  • Lead the adoption of standardized QE practices and testing frameworks across engineering teams, reducing inconsistency in coverage and establishing a shared standard for quality across the organization within your first year
  • Drive increased automation of QE processes using AI-assisted tooling (such as Claude, Codex, or Cursor), accelerating development velocity while maintaining rigorous standards
  • Lead, mentor, and grow a team of 1–3 Quality Engineers: supporting their technical development, career growth, and day-to-day effectiveness, with a goal of visibly improving team velocity and reducing defect escape rates
  • Partner closely with Engineering and Product to shift quality earlier in the development lifecycle, building a culture where defect prevention is prioritized over defect detection
  • Establish structured knowledge sharing and process documentation that enables the team to scale its impact beyond its headcount

What we look for in this role

  • Proven track record owning and operating CI/CD systems at scale using tools such as CircleCI, GitHub Actions, or equivalent. This includes hands-on experience redesigning pipelines for reliability and speed
  • Deep expertise in CI/CD tooling and infrastructure, with the ability to independently evaluate, modernize, and scale systems to meet evolving engineering needs
  • Strong proficiency in test automation frameworks (such as Playwright, Selenium, or equivalent) paired with a clear, defensible philosophy around test strategy and coverage.
  • Solid background in Quality Engineering or Software Development in Test (SDET), including experience designing and implementing test automation frameworks from the ground up
  • Demonstrated use of AI-assisted coding tools (e.g., Claude, Codex, Cursor) to automate testing practices and accelerate engineering workflows.
  • Excellent cross-functional communication and collaboration skills; you are equally comfortable working as an individual contributor and stepping into a leadership role as the quality voice across the engineering
  • Prior experience leading or mentoring a small engineering team, even informally

What we value

  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Compensation Range
$175,000—$220,000 USD

About the job

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Full Time

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Salary

Salary: 175k-220k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Domino Data Lab

Learn more about Domino Data Lab and their company culture.

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The enterprise data science management platform trusted by over 20% of the Fortune 100. Our products enable thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time.

Data scientists are called upon to solve ever more complex problems across every facet of business and civic life. Domino empowers data science teams to develop and deploy ideas faster with collaborative, reusable reproducible analysis in a secure platform built with the needs of compliance intensive industries in mind.

Domino is backed by leading venture capital firms: Sequoia Capital, Bloomberg Beta, Coatue Management, Dell Technologies Capital, Highland Capital Partners, In-Q-Tel, and Zetta Venture Partners.

Employee benefits

Learn about the employee benefits and perks provided at Domino Data Lab.

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Retirement benefits

401(k) or pension plan to help you invest in your future.

Employee assistance program (EAP)

We offer an employee assistance program focused on mental health.

Company equity

Domino offers stock options which vests over a four-year period with a one-year cliff.

Company events

Domino hosts company outings quarterly. We also sponsor family-oriented events annually.

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Domino Data Lab

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