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New York, New York, United States
Hybrid
We live in a world where technology is rapidly changing the educational experiences of students and teachers everywhere, and we have the opportunity to shape how this change takes place. Kira's mission is to harness transformative AI technologies to make world-class personalized teaching and learning accessible to everyone. Kira is a rapidly growing startup backed by top-tier Venture Capital funds including New Enterprise Associates (NEA), Andrew Ng’s AI Fund, and Primavera.
As our QA Automation Lead, you'll own and elevate the quality bar across our platform, and build the team that sustains it. This is a player-coach role: you'll spend most of your time hands-on (designing automation, performance testing, and quality systems) while also mentoring and, over time, growing and leading a small QA team.
This is not a traditional QA role. We're looking for a senior, pragmatic engineer who is first and foremost a doer with management experience -- someone who ensures high product quality for teachers and students while modernizing how we approach testing, performance, and release confidence, including thoughtfully applying AI tools to accelerate test creation, maintenance, and coverage. You'll be the dedicated owner of end-to-end test coverage, performance test scaffolding, and load testing, and you'll have at least one QA engineer reporting to you.
This is a full-time position that requires flexibility with work hours and availability outside of regular business hours. We have offices in San Francisco, CA and New York City, NY and we ask that employees work from one of the two locations and come into the office in-person 4 days a week (Wednesdays WFH).
Own and evolve our quality strategy across frontend, backend, and AI services, and be the dedicated owner of end-to-end test coverage, performance test scaffolding, and load testing
Lead and grow a small QA team — mentoring engineers, setting standards, and managing at least one direct report — while staying hands-on yourself
Partner closely with product and engineering to define clear acceptance criteria and prevent defects early
Design and implement scalable automated testing across end-to-end, integration, regression, and performance layers
Own performance and load testing for critical workflows — login surges, classroom activity, assignment submissions, real-time features, and AI services — building realistic workload models from production usage, establishing baselines and capacity targets, and validating the platform ahead of peak usage
Diagnose performance bottlenecks across test infrastructure, networks, application services, caches, databases, and third-party dependencies, and partner with engineering on remediation
Evaluate and adopt modern AI-powered tools to accelerate test generation, maintenance, debugging, and coverage
Improve release confidence through stronger CI/CD integration, test observability, and failure diagnostics, and establish pragmatic quality gates that improve reliability without slowing velocity
Lead post-incident quality improvements, help prevent regressions, and contribute to documentation and runbooks
Flex into hands-on manual QA when needed (~10–20% of the time)
8+ years in quality engineering, test automation, or SDET roles, with experience mentoring or leading engineers
Automation architect mindset — you design and build quality systems, not just execute tests
Product partnership — a track record of working closely with product to shape requirements, spot edge cases, and prevent defects early
Complex UI/UX platform experience — you've owned quality for a sophisticated, user-facing web platform
Performance and load testing experience — hands-on with tools such as k6, Artillery, Gatling, JMeter, or Locust, including designing workload models and interpreting latency percentiles, throughput, concurrency, and resource saturation
Strong experience with modern testing frameworks such as Playwright, Cypress, Jest, JUnit, or PyTest, and building automated E2E suites in CI/CD
Strong debugging skills across a multi-layer stack (ours: Next.js/React frontends, Kotlin/Java Spring Boot backends, Python FastAPI AI services, LangSmith agent workflows), with familiarity testing distributed systems, APIs, and database-backed applications
Experience defining or improving QA processes in a fast-paced startup environment, with practical judgment about when to automate, when to test manually, and when to push back
Cloud experience, ideally AWS; clear communication across technical and non-technical audiences; high attention to detail and strong product intuition
Experience testing AI- or LLM-backed features — evaluating nondeterministic outputs, prompt regression testing, latency budgets, and graceful degradation when model providers have issues
Experience with application performance monitoring, distributed tracing, and cloud infrastructure metrics
Experience building internal tooling that improves developer velocity
Fewer high-severity bugs reaching production and greater automated coverage of critical workflows
Repeatable performance tests that identify scaling risks before they affect teachers and students, with clear baselines and capacity expectations for peak usage
Faster, more confident releases and quality standards engineers respect rather than bypass
A growing QA function and AI-assisted processes that meaningfully reduce manual effort
Competitive compensation and equity. For applicants in the US, the salary range for this role is $175,000 – $210,000, depending on relevant experience and skill set
Medical, dental, vision and life insurance, including a medical insurance plan with 100% coverage of employee premiums
Daily lunch credit through DoorDash in office + free DashPass to use anytime for work or personal use
Wellhub Membership: 100% company-paid access to premium gym networks (Orangetheory, SoulCycle), 60+ wellness apps (Headspace, MyFitnessPal, Apple Fitness+), and 1:1 coaching sessions spanning fitness, mental health, nutrition, and sleep
401(k) matching
Pet friendly office 🐶
Equal Employment Opportunity Employer
At Kira, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Kira believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
Background Check
Kira will make a conditional job offer in line with local, state and federal laws, and a subsequent criminal, education, and employment history background check will then be issued.
