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:
As a Senior Full-Stack Software Engineer at Sybill.ai, you will spearhead the development of groundbreaking generative AI features, directly influencing our user experience. This role affords you unparalleled autonomy over the entire product development lifecycle, from concept to deployment. You will:
- Design, develop, and ship innovative product features on our Conversational AI platform, from inception to launch.
- Own the data and domain-specific design patterns across your features.
- Dive into the technical intricacies of developing AI-driven sales tools.
- Collaborate with cross-functional teams to drive product-led growth through engineering.
This opportunity places you at the heart of an early-stage, rapidly evolving B2B SaaS startup, enabling you to influence our product roadmap and team culture profoundly.
Who You Are:
To be effective in your role, you will need to :
- Take complete ownership from conception through to production release and have the ability to influence, facilitate, and work collaboratively across teams.
- Implement good database design in a No-SQL database (we use MongoDB and vector databases).
- Have experience with making technical decisions informed by performance and usage metrics.
- Thrive in a small engineering team and are excited to manage feature development lifecycles across the stack.
- Be passionate about what you're doing and ignite people around you.
Qualifications:
- Experience: 4+ Years of Professional Software Engineering Experience, including at least 2 years of experience with Python or a similar language for REST API backend development, and at least 3 years of experience with React.JS or a similar framework for UI/front-end development.
- Familiarity with our technologies: Strong experience with our primary technologies, including React.js, Redux.js for UI development, and Python (FastAPI, Pydantic, Pandas) for backend development.
- Experience with NoSQL Databases: Preferable experience working with NoSQL databases, highlighting the ability to handle non-relational data models effectively.
- AI Knowledge: Exposure to B2B products leveraging Generative AI is preferred.
- Founding developer's journey: Experience with designing and shipping products in a fast-paced startup is preferred.
Top Skills
What We Do
Sybill reads body language on sales calls. Sign up for free at https://www.sybill.ai.
It's an AI call partner that helps sales teams understand their prospects better and close more deals. With Sybill, you can:
- Understand what your prospects are excited about and not interested in, and manage your deals accordingly.
- Say goodbye to notetaking with automatic detection of next steps, questions and pricing, and CRM sync.
- Transform your slide decks and demos based on data on what is working and what’s not.
- Coach yourself and your team on winning behaviors.
Our founding team comes from Stanford, Harvard, and UCSD, and has a deep background in machine learning and human psychology. Contact us at [email protected].
Sybill marks the dawn of a new era in meeting intelligence, going beyond transcription and keyword searches and surfacing the aha! moments and buying intent of your prospects.
