---
title: 'Staff AI Research Engineer at Sybill AI'
canonical: 'https://feeny.ai/job/staff-ai-research-engineer-sybill-ai-mountain-view-q148s6b9d67q'
type: 'job'
last_seen: '2026-09-12'
---

# Staff AI Research Engineer at Sybill AI

- **Company:** Sybill AI
- **Location:** Mountain View, CA
- **Compensation:** $240k–$280k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-05-09
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/sybill-ai/19b2bf73-91b6-44c2-b7a8-c8ebb339c9e1

## Job description

About Sybill: At [Sybill.ai](http://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.

The Opportunity: 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.

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

What You'll Be Doing:

- 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

Qualifications:

- 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 We Offer:

- 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.

## About Sybill AI

## Company Overview
- **One-liner**: Sybill provides an AI sales assistant that automates administrative tasks and delivers deal-specific insights to help revenue teams win more deals.
- **Entity Type**: Private (Series A)
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2020
- **Founders**: Gorish Aggarwal, Nishit Asnani, Soumyarka Mondal, Mehak Aggarwal

## Core Business
- **Industries**: Sales technology, artificial intelligence, revenue intelligence, sales enablement
- **Target Customers**: B2B sales teams across SMB and enterprise segments (over 850 revenue teams use Sybill)
- **Mission**: “Empower B2B reps to sell twice as much” by reducing administrative burden and surfacing winning playbooks

## Products & Services
- **Sybill AI Sales Assistant (SaaS)**: An AI platform that records and analyzes sales conversations (calls, emails, messages), auto-generates follow-ups, updates CRM fields, surfaces deal risks, and provides coaching and account strategy recommendations. It learns what wins at a company and helps every rep execute the same playbook.
- **API & MCP Integration**: Customers can send deal intel to their data stack or ingest custom data sources. Also available via Model Context Protocol (MCP) for AI agents.
- **Deal Workspace**: A centralized view of all deals showing stakeholders, objections, risks, and next steps.

## Market Standing
- **Valuation**: Not disclosed (last raise: $11M Series A in July 2024)
- **Total Funding**: $14.5M (Seed + Series A)
- **Key Metric**: Annual Recurring Revenue grew from $100K to $1M in 9 months (2023); over 500 paying customer teams as of mid-2024
- **Notable Investors**: Greycroft (lead Series A), Neotribe Ventures, Powerhouse Ventures, Uncorrelated Ventures
- **Growth Signals**: 30 employees (doubled from previous year), plans to reach 40 by end of 2024; 60-70% of new revenue comes from referrals or reps taking Sybill to new companies; customers in 30+ countries

## Competitive Advantages
- **Deal-level Context Graph**: Sybill’s custom RAG pipeline analyzes all calls and emails on a deal, not just isolated transcripts, providing nuanced insights and reducing hallucinations.
- **Playbook Memory**: The platform captures winning patterns (objection handling, sequence, stakeholder mapping) so that institutional knowledge doesn’t leave when a top rep departs.
- **End-to-End Automation**: Unlike point tools (pure notetakers or CRM automation), Sybill handles entire workflows from call recording to CRM updates to follow-ups, acting as a true assistant.
- **SOC 2, GDPR, ISO 27001, PCI Compliant**: Strong security posture required by enterprise buyers.

## Strategic Focus
- Continue developing the AI assistant to handle more complex sales workflows
- Hire aggressively (targeting 40 employees) to accelerate product development and go-to-market
- Expand customer base via word-of-mouth and “bring your own tool” referrals
- Deepen integrations with CRM, Slack, email, and calendar ecosystems

## Why Work Here
- **Culture**: Described as “AI geeks and problem-solvers” on a mission to fix sales admin. The team values impact, speed, and innovation.
- **Remote/Hybrid**: Remote-OK roles listed; office location in Mountain View, CA.
- **Perks**: Flat structure, opportunities to work on cutting-edge AI (RAG, context graphs), direct impact on product direction.
- **Current Openings** (as of 2026): Senior ML Engineer, Senior React Developer, SMB Account Executive, Staff Software Engineer (Full-Stack), HR & Admin Specialist, Senior Visual Designer, Marketing roles (see careers page).
- **Diversity**: “Shine as your unique self and feel right at home” – inclusive environment emphasized.

## Sources
1. [sybill.ai (main site)](https://www.sybill.ai/)
2. [sybill.ai (About Us)](https://www.sybill.ai/about-us)
3. [sybill.ai (Careers)](https://www.sybill.ai/careers)
4. [techcrunch.com (Series A announcement)](https://techcrunch.com/2024/07/31/sybill-raises-11m-for-its-ai-assistant-that-helps-salespeople-reduce-administrative-burden/)
5. [tracxn.com (Sybill AI company profile)](https://tracxn.com/d/companies/sybillai/__yyAyZxFTd0hDRvNQvyNffCi43OefZUuBLJISvv1fNpQ)

## Other roles at Sybill AI

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- [Product Designer](https://feeny.ai/job/product-designer-sybill-ai-mountain-view-w8fs8kjk13nt) — Mountain View, CA
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