About Norm Ai
Norm Ai is the Compliance AI Platform for legal standards-based reasoning and workflow automation.
We developed the first Domain Specific Language (DSL) that fully represents regulatory requirements in AI code. Deployed through our enterprise platform, this DSL empowers Norm clients to transform workflows and enforce compliance checks at the core of their business operations.
By building and deploying Government-Grade Regulatory AI, we are setting the standard for compliance processes within the world's largest institutions and paving the way for broader deployment of AI agents in highly regulated workflows. Our rapidly expanding client base manages a combined $17 Trillion in AUM.
Our team comprises software engineers from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT, and legal engineers from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.
We have secured investments from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.
About the role
We’re looking for our first Quality Engineering Lead to establish and scale our QA strategy at the forefront of AI-powered enterprise compliance software. As our first dedicated quality hire, you’ll define and implement test processes, while partnering closely with engineering, product, and design to ensure our most complex and high-impact workflows are reliable and regression-resistant.
This is a hybrid role: part technical contributor, part process leader, and part future team building. You’ll own the foundation of our quality efforts and help us evolve toward a scalable model that supports fast iteration without sacrificing stability.
Core Responsibilities:
Define and operationalize a pragmatic quality strategy that supports fast-moving, engineering-owned development.
Lead by example–writing, organizing, and maintaining regression test plans (manual and automated) for critical flows.
Partner with engineers to identify test gaps, reduce flakiness, and improve coverage across branching workflows.
Introduce and enforce lightweight release-readiness practices for high-risk changes.
Build tooling or partner with platform engineers to improve test infrastructure, data generation, and CI reliability.
Track and share key quality metrics (e.g. regression trends, test pass rates, flaky test triage).
Own root cause analysis for regressions and help ensure long-term prevention.
Develop the roadmap to scale the QA function, including evaluating when and how to grow a team.
Skills & Experience - Core:
5+ years of experience in software engineering, QA, quality engineering, or test infrastructure roles
Strong experience designing and executing test strategies for complex, evolving enterprise products
Hands-on experience with end-to-end testing tools (e.g. Playwright, Cypress), and writing maintainable automated tests
Comfort acting as both an individual contributor and quality process owner
Experience with CI/CD systems and improving test visibility and observability
High ownership mindset with strong collaboration and communication skills
Ability to work cross-functionally with engineers, PMs, and designers to prioritize quality in the product lifecycle
Skills & Experience - Pluses:
Experience as a first QA hire or building QA functions from scratch
Exposure to AI-powered, probabilistic, or highly dynamic UIs
Familiarity with testing in regulated or enterprise environments
Experience mentoring or managing other QA engineers, contractors, or automation specialists
What success looks like after 30 days
You’ve mapped out key risk areas in the product and identified priority test coverage gaps
You’ve proposed a practical QA model that supports team-owned quality and minimizes regressions
You’ve partnered with engineering leads to improve existing test coverage and reliability in CI
You’ve begun organizing and documenting regression testing practices
What success looks like after 90 days
You’ve led structured regression testing cycles for high-risk workflows, with measurable impact
You’ve introduced key process improvements that help engineers ship with more confidence
You’ve established visibility into test failures, coverage gaps, and quality KPIs
You’ve drafted a plan to scale the QA function, including staffing needs and tooling investments
Comp and Benefits
$130,000-$185,000 a year plus equity.
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
We embrace a flexible hybrid model, typically in-office 3–4 days per week.
If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.
