QA Engineer
San Francisco HQ
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Alembic
Uncover marketing success with Alembic's AI-driven analytics. Predict revenue outcomes, optimize media spend, and gain actionable insights in real-time.About Alembic
Alembic is pioneering a revolution in marketing, proving the true ROI of marketing activities. The Alembic Marketing Intelligence Platform applies sophisticated algorithms and AI models to finally solve this long-standing problem. When you join the Alembic team, you’ll help build the tools that provide unprecedented visibility into how marketing drives revenue, helping a growing list of Fortune 500 companies make more confident, data-driven decisions.
About the Role
As a Quality Assurance Engineer at Alembic, you’ll be one of the dedicated QA professionals on our team. You’ll collaborate across engineering, data science, and product to establish and scale our quality processes. From automated test suites to real-world user validation, your work ensures that what we ship is accurate, reliable, and built to last.
Key Responsibilities
Define, implement, and scale testing strategies across Alembic’s product and data pipelines
Write and maintain automated test cases (unit, integration, regression, end-to-end)
Develop and own tools for test automation, continuous testing, and validation at scale
Collaborate closely with engineers and data scientists to detect, reproduce, and debug complex issues across systems
Champion quality across the organization—build a culture of proactive validation and fast feedback loops
Participate in product planning and design reviews to ensure quality from the start
Contribute to performance testing, security testing, and compliance readiness efforts
Must-Have Qualifications
3–5+ years experience in Quality Assurance or Software Testing
Strong proficiency with test automation frameworks (e.g., Cypress, Playwright, Selenium, Pytest)
Experience testing modern web applications, APIs (REST, GraphQL), and/or data platforms
Solid understanding of CI/CD pipelines and testing integrations (e.g., GitHub Actions, Jenkins)
Comfort working in fast-paced, startup environments with ambiguity and evolving systems
Excellent communication and documentation skills
Nice-to-Have
Familiarity with data validation techniques in ML or analytics platforms
Exposure to infrastructure-as-code environments (e.g., Terraform, Ansible, Kubernetes)
Experience working with cloud services (AWS preferred)
Interest in marketing analytics, causal inference, or AI/ML validation
What You’ll Get
A seat at the table in a company solving complex, high-impact problems
Opportunity to shape QA processes and influence product quality at scale
Work closely with senior engineers, scientists, and product leaders
High-trust culture centered on excellence, integrity, and curiosity
Tags: Ansible APIs AWS Causal inference CI/CD Data pipelines Engineering GitHub GraphQL Jenkins Kubernetes Machine Learning Pipelines Playwright Security Selenium Terraform Testing
Perks/benefits: Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.