Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.

Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.

Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house.

Sanas is a 180-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.

If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.

Job Description

We are looking for an SDET with hands-on experience in automation, API testing, and performance engineering.

You will help build reliable automation suites, improve test efficiency, and enable scalable product releases across our web and backend systems.

Key Responsibilities

• Design and maintain automated test suites for web UI and backend services
• Develop API automation tests using Python-based frameworks (PyTest/Requests/Postman)
• Contribute to expanding functional, regression, and integration coverage
• Build utilities, scripts, and reusable libraries to accelerate automation
• Execute performance and load testing using JMeter (or K6/Locust)
• Capture and analyze system metrics (latency, throughput, stability)
• Participate in code reviews, requirement analysis, and test planning
• Investigate failures, log defects, and collaborate with engineering for resolution
• Maintain test execution pipelines in CI/CD environments
• Provide clear reporting on automation results, quality trends, and risks

Qualifications

• 2–4 years experience in QA automation or SDET roles
• Strong working knowledge of Selenium + Python
• Experience automating REST APIs
• Practical exposure to performance testing tools (JMeter or equivalents)
• Understanding of functional testing, test design, and regression workflows
• Experience with CI/CD systems (GitHub Actions, Jenkins, GitLab CI, etc.)
• Solid foundation in debugging, troubleshooting, and problem solving
• Familiarity with Git, Agile methodologies, and SDLC practices

Preferred Skills

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• Knowledge of:
• • Web architecture (HTTP, auth flows, browser behavior)
  • API specifications (Swagger/OpenAPI)
  • Microservices and distributed systems test considerations
• Experience building frameworks or extending automation libraries
• Strong communication, collaboration, and documentation skills
• Passion for quality engineering, continuous improvement, and automation-first thinking