At Sybill.ai, we're building the next evolution in B2B sales – an AI-first platform that transforms how sellers work. Think of it as your intelligent sales IDE (Integrated Deal Environment), empowering sellers to focus on what truly matters: building relationships and closing deals.
Today, sellers spend 70% of their time on non-revenue activities. We're flipping this paradigm on its head. Sybill's AI lets sellers become super-performers who guide AI systems and focus on high-impact customer interactions.
Our proprietary AI technology, developed by a small but mighty team from Stanford, Harvard, and the IITs, and backed by leading investors in Silicon Valley, is not just another tool; it serves as the foundation of a groundbreaking sales workflow that delivers exceptional outcomes for our users. With 99%+ retention and 20x growth to 850 paying companies last year, our customers' enthusiasm speaks for itself.
As a Staff AI Researcher, you'll architect and implement sophisticated agents and retrieval techniques that work across XX Million data points for every sales organization to power our sales co-pilot, making it feel like every seller has a seasoned sales mentor by their side. You'll drive continuous innovation by incorporating cutting-edge AI advancements, running rapid experiments, and iterating based on real user feedback to create truly magical experiences for our users.
Deep experience architecting end-to-end AI systems that combine multiple components; LLMs, hybrid search indexes (lexical, vector, and knowledge graphs) and agents
Track record of optimizing retrieval systems for both accuracy and performance at scale
Data-driven mindset with experience in designing metrics and evaluation frameworks for AI systems
Strong software engineering foundation with expertise in Python and modern AI/ML infrastructure
Strong user empathy and collaboration skills with the ability to work across product, engineering, and customer-facing teams
Architect end-to-end agentic systems that autonomously plan and orchestrate multi-tool workflows
Implement sophisticated retrieval systems that surface contextually relevant information in near real-time
Optimize and fine tune our vector databases and embeddings to solve for accurate domain understanding
Drive technical decisions and collaborate with product to build AI features that solve real user pain point
Build monitoring systems to track model performance, costs, and reliability metrics
Stay on top of the latest developments in AI and rapidly prototype new capabilities
Use modern developer tools like Cursor and CoPilot to maximize productivity
5+ years of AI research experience, with at least 2 years focused on RAG and AI copilot systems
Strong proficiency in modern AI infrastructure - vector databases, embedding models, agentic workflows (LangGraph, MCP etc.)
Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred
AI Innovation Playground: Transform cutting-edge AI concepts into magical experiences
Direct Impact at Scale: Your AI systems will transform how thousands of sellers work, directly driving our 20x growth
Rapid Innovation Cycles: See your AI experiments go from idea to production in weeks, not years
Engineering Excellence: Build on our battle-tested AI and data infrastructure while pushing the boundaries of what's possible
Competitive compensation: $240,000 - $280,000 + equity in a rapidly growing startup + comprehensive Health/Dental/Vision insurance
Our commitment to you: We believe Sybill should be your biggest career accelerant yet. We'll deliver on this by tackling hard problems together, giving you real ownership, and pushing you to grow beyond your comfort zone. If you're ready to match this ambition with your own drive, we should talk.
AEs are burning out.
Trapped on a hamster wheel of details, task lists, and follow-ups, most of them don't have any energy left to do what they do best: actually sell.
That’s why AEs use Sybill’s AI sales assistant to:
- Capture deal details straight from calls and emails,
- Analyze pipeline and answer complex deal questions,
- and automate admin work like CRM updates, notetaking, follow-up emails, and task management.
Most note takers and conversational intelligence tools aren’t really built for account executives, are they?
They’re built for generic note taking or for revenue leaders trying to forecast.
Sybill’s different: It’s built for AEs and fits into their daily workflow (sort of like a real assistant).
Before a call: Sybill preps your briefs
During a call: Sybill listens and captures key details
After a call: Sybill generates a summary, autofills your CRM, drafts follow-ups, and updates your task list.
And once a deal closes, your whole team can comment, share call snippets, and create video collections to learn from what worked (and what didn’t).
AEs don’t need another notetaker or dashboard. They need a hand.
That’s why we built Sybill.
👉 Sign up for a free trial today, no credit card required.
