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Homeoffice Software Engineer (Full Stack, Support)
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About the job
🚀 About Sybill:
At Sybill.ai, we are building a 10x better way to do B2B sales via an end-to-end, AI-first GTM stack that unlocks unprecedented levels of automation for the sales reps. The existing GTM stack only gives reps a better UX to do their admin tasks. With Sybill, reps will not need to do them at all. All they will need to do is take customer calls and supervise the AI, enabling them to be super-sellers.
Our founding team from Stanford, Harvard and IITs has built a sales-specific, proprietary AI to extract highly accurate deal attributes, which unlocks these workflows. This AI-first GTM stack will disrupt both today’s pigeonholed tools (Gong, Highspot, Scratchpad, Clari, Outreach) and remove the need for extensive middle management in GTM orgs.
With Sybill’s conversational AI workflows, reps are seeing a remarkable behavior switch in their day-to-day and they just can’t stop using the product (gross retention - 99%+). They are vocal about their love for Sybill on LinkedIn, enabling us to grow 20x to $1.2M in ARR last year.
💡 The Opportunity:
At Sybill, we believe that exceptional customer support is one of the central pillars of our success, and we are looking for a Full-Stack Engineer who shares this belief. This unique role blends software engineering with customer interactions to build critical parts of our products with highest feedback velocity from our users. Hence, we are looking for full-stack engineers who are passionate about interfacing with users. They should also have a strong software engineering background, including Python(FastAPI, Pydantic), and NoSQL databases (such as MongoDB), intermediate-to-advanced experience working with AWS services, and familiarity with ML and AI. The ideal candidate will also have communication and customer service skills, empathy, and ethical decision-making. Basically, you will wear two hats most of the time:
🔧 Responsibilities
🎓 Qualifications:
📄Interview Process:
🌟 Perks: