Quality Engineering Team Lead, Domino Data Lab
$175-220k
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
$175-220k
201-500 employees
Company mission
To unleash AI to address the world's most important challenges.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by he end of 2026, Domino Data Lab is meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Thomas Robinson
(COO)Thomas joined Domino in 2016 as CPO, moving into the role of VP of Strategi Partnerships & Corporate Development in 2020 and then into the role of COO in 2022. Previously, he spent 10 years at Bridgewater Associated in various roles, including Director of Engineer and GM of Tech Talent Transformation.
Tom Gleason
(CFO)Prior to joining Domino in 2021, Tom was a VP of Finance & Strategy at Avalara. Before that, he spent 9 years at Tableau Software in various roles, including Director of Financial Planning & Analysis and VP of Finance.
Thomas Been
(CMO)Prior to joining Domino in 2023, Thomas was a CMO at DataStax and Druva. He also spent nearly 15 years at TIBCO Software in various roles, including VP of Product Management and CMO.
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