Staff AI Research Engineer, Sybill
$240-280k
+ Equity
Office located in Mountain View, CA
Sales intelligence & automation
Job no longer available
Sales intelligence & automation
21-100 employees
Job no longer available
$240-280k
+ Equity
Office located in Mountain View, CA
21-100 employees
Company mission
To empower B2B reps
to sell twice as much.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
To help sales teams maximise their time, Sybill provides an AI that reduces the time spent on administrative tasks so that they can instead focus on building client relationships.
It's a simple but effective proposition. Sybill's AI can take deal notes, draft tone-correct follow-up emails and write process-aware CRM updates. Its model was built specifically for sales, making it a better option than more generic AI admin tools.
The company has raised significant funds, the latest of which will be used to further the development of its AI and build out its team. With upwards of 500 paying customers, the company has got off to a great start and is set up nicely for future growth.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2024
$11m
SERIES A
Jul 2023
$2m
SEED
Total funding: $14.6m
Company HQ
Mountain View, CA
Leadership
Gorish Aggarwal
(Co-Founder & CEO)Previously a Lecturer at the Stanford University School of Engineering, and a Graduate Research Assistant at the Stanford University School of Medicine. Also worked as a Data Scientist for Lightspeed Venture Partners.
Mehak Aggarwal
(Co-Founder & CPO)Previously a Research Fellow at Harvard University, The Hebrew University of Jerusalem and Singapore University of Technology and Design. Has previously developed several AI-based projects.
Soumyarka Mondal
(Co-Founder & CTO)Official Member of the Forbes Technology Council. Former Platform Engineer for Confluen, Graduate Teaching Assistant at the University of California San Diego and Software Engineer Intern at Salesforce.
Nishit Asnani
(Co-Founder)Previously a Teaching Assistant at Stanford University. Also interned in ML and Project Management at Moveworks, co-founded Wordsmith and was a Graduate Student Researcher at the Stanford Artificial Intelligence Laboratory.
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