[Hiring] Lead Software Development Engineer in Test @Alteryx

Role Description

This Lead SDET will work on the test infrastructure that powers agent evaluation and observability for Ask Alteryx, partnering with engineering, product, and data science to measure and improve agent quality.

• Analyze requirements to produce a comprehensive test strategy and detailed test cases.
• Design and implement manual and automated tests at all levels in the test pyramid, including:
  • unit
  • component
  • integration
  • end-to-end
• Design, build, and enhance scalable automated test frameworks to support feature testing and AI-driven product workflows.
• Develop and maintain automation for UI and API tests using tools such as Selenium, pytest, and Playwright.
• Conduct performance and load testing (using tools like locust) to ensure product scalability.
• Build test reports using reporting tools such as Allure.
• Report regressions to a corresponding dev team.
• Influence design decisions by providing timely feedback on design documents and testability.
• Collaborate closely with other members of an agile team, including engineers, product management, and UX, to become a valued member of an autonomous, cross-functional team.

Qualifications

• Experience evaluating AI agents, including multi-step task completion, tool selection, tool-call accuracy, and failure recovery.
• Working knowledge of agent frameworks, preferably LangChain, with the ability to understand and debug context handling, tool execution, and agent state.
• Hands-on experience with LangSmith or similar platforms for evaluation datasets, custom evaluators, experiments, and comparisons across agent changes.
• Experience with agent observability, using traces and telemetry to investigate quality issues, latency, token usage, and cost.
• Strong Python software engineering skills to build and extend evaluation tooling, metrics pipelines, and reporting systems. JavaScript or TypeScript experience is a nice-to-have.
• Applied statistics and data analysis skills to assess variability, compare experiments, and distinguish meaningful improvements from noise; modeling experience is a plus.
• Experience developing evaluation datasets and scoring methods, combining deterministic checks, human feedback, and LLM-based judges.
• Ability to contribute at a technical lead level, guiding evaluation practices, mentoring engineers, integrating evaluations into CI/CD, and translating production failures into regression coverage.

Requirements

• Experience evaluating AI agents, including multi-step task completion, tool selection, tool-call accuracy, and failure recovery.
• Working knowledge of agent frameworks, preferably LangChain.
• Hands-on experience with LangSmith or similar platforms.
• Experience with agent observability.
• Strong Python software engineering skills.
• Applied statistics and data analysis skills.
• Experience developing evaluation datasets and scoring methods.
• Ability to contribute at a technical lead level.

Benefits

• Medical, dental, and vision coverage.
• 401(k) with company match.
• Paid parental leave, caregiver leave, and flexible time off.
• Mental health support and wellness reimbursement.
• Career development and education assistance.
• A monthly Connectivity Plus stipend of $150 to support remote work-related expenses.
• An annual $200 home office reimbursement.