VP - Engineering

About Testsigma

Testsigma is a GenAI-powered, low-code test automation platform that makes it fast and easy for quality engineering teams to automate tests at speed and scale without coding expertise. Through its Natural Language Programming approach, Testsigma allows users to create complex automated tests using plain English, while maintaining the structured approach of programming languages. QA teams can also use the in-built Generative AI capabilities to generate test scenarios thus ensuring test coverage and significantly reducing test development efforts.Hundreds of leading enterprises across the world use Testsigma to release quality software. Some notable customers of Testsigma include Cisco, Samsung, Bosch, Oscar Health, and American Psychological Association. Testsigma is headquartered in San Francisco with engineering teams in Bangalore. Testsigma is backed by marquee investors like MassMutual, Accel, Strive and Bold Cap.

Key Responsibilities

• Team Leadership: Scale and lead a high-performing engineering organization across backend, frontend, DevOps, QA, and architecture.
• Technical Strategy: Define and implement the long-term technology roadmap for a highly scalable QA automation platform.
• Process Excellence: Establish engineering best practices in code quality, testing, agile delivery, and CI/CD pipelines.
• Cross-Functional Collaboration: Work closely with Product, Customer Success, and Support teams to deliver solutions aligned with business and customer needs.
• Platform Architecture: Guide technical decisions related to performance, reliability, and security.
• Innovation: Drive technology innovation around AI/ML, no-code testing, and intelligent automation.
• Mentorship & Culture: Foster a culture of ownership, continuous improvement, and technical excellence.
  
  

• 13+ years in software engineering, with at least 5 years in leadership roles driving process, people, and product outcomes at scale.
• Proven experience setting up and scaling engineering organizations, ideally in a high-growth product or startup environment.
• Track record of implementing structured engineering processes (agile, scrum, OKRs, delivery metrics, capacity planning, etc.).
• Excellent stakeholder management and communication skills across technical and non-technical teams.
• Familiarity with QA automation, testing platforms, or developer tooling ecosystems is a plus.
• Strong understanding of engineering lifecycle management—from ideation to release to support.
  
  

• Experience working in or building SaaS platforms.
• Background in test automation, DevOps, or developer tooling ecosystems.
• Exposure to building low-code/no-code platforms.
• Familiarity with AI/ML applied to automation or quality engineering.
  
  

• Attractive salary + Bonus
• Flexible working hours
• 100% company-paid medical insurance
• Daily catered lunch, free snacks, etc.
• Flat hierarchy