Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights form every conversation and put those insights into action with real-time coaching during customer conversations.
We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.
Cresta is seeking a Full Stack engineer, in the APAC region, who enjoys digging into metrics and iterating quickly to find ways to scale sustainably. You will handle everything ranging from frontend to backend, building solutions in a fast-paced and collaborative process. You will have an integral role in technical decisions that define our product and influence the customer experience.
You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.
What We Look For:3+ years of relevant work experienceExperience building microservicesExperience with complex React applicationsSQL database experience (bonus for query performance) and data analysisStrong competence in data structures, algorithms, and software designExperience with object oriented design, coding, running testsExperience with GraphQL preferredExperience with Machine Learning applications preferredExperience with Kubernetes preferred