Senior AI Engineer, Sybill
$180-210k
+ Equity + Bonus
Office located in Mountain View, CA
Sales intelligence & automation
Be an early applicant
Sales intelligence & automation
21-100 employees
Be an early applicant
$180-210k
+ Equity + Bonus
Office located in Mountain View, CA
21-100 employees
Company mission
To empower B2B reps to sell twice as much.
Role
Who you are
- Are excited to create a new way of working for today’s top sellers
- Can run with projects independently - you won't have someone looking over your shoulder
- Aren’t afraid to try new approaches; are candid about wins and own mistakes, and learn from both
- Get excited about big goals, but also know how to break them down and execute
- Understand that some weeks are intense - we're building something ambitious and that takes real work
- Deep experience architecting end-to-end AI systems that combine multiple components; LLMs, hybrid search indexes (lexical, vector, and knowledge graphs)
- Track record of optimizing retrieval systems for both accuracy and performance at scale
- Strong software engineering foundation with expertise in Python and modern AI/ML infrastructure
- Proven track record in prompt engineering for complex use cases
- Data-driven mindset with experience in designing metrics and evaluation frameworks for AI systems
- Bias for action and ability to move fast while maintaining high-quality standards
- Strong user empathy and collaboration skills with the ability to work across product, engineering, and customer-facing teams
- 5+ years of software engineering experience, with at least 2 years focused on RAG and AI copilot systems
- Strong experience with vector databases (e.g., Pinecone, Weaviate) and embedding models
- Strong proficiency in Python and modern AI infrastructure
- Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred
- Proven track record of delivering multiple complex backend systems or features as an individual contributor
- Proven ability to architect real-time AI systems that combine multiple data sources and models
- Experience with fine-tuning language models is a nice-to-have
- Experience with cloud platforms (AWS preferred) and scalable AI service deployment
- Exposure to or experience with B2B products is highly preferred
- A proven track record of thriving in early-stage startup environments, showing resilience and flexibility in the face of uncertainty
What the job involves
- At Sybill, we're building an AI co-pilot that's transforming how B2B sales is done
- As a Senior AI Engineer, you'll architect and implement sophisticated retrieval-augmented generation (RAG) systems that 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
- Design and implement end-to-end RAG systems that power our deals knowledge database and co-pilot features
- Architect an agentic system that autonomously plans and orchestrates multi-tool workflows
- Architect sophisticated retrieval systems that surface contextually relevant sales information in near real-time
- Build robust evaluation frameworks to continuously measure and improve our AI system performance
- Design and optimize vector databases and embedding systems for efficient information retrieval
- Collaborate with product and engineering teams to design AI features that solve real sales pain points
- Drive technical decisions around model selection, deployment strategies, and AI feature implementation
- Stay on top of the latest developments in AI and rapidly prototype new capabilities
- Build monitoring systems to track model performance, costs, and reliability metrics
- 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
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jul 2024
$11m
SERIES A
Jul 2023
$2m
SEED
Total funding: $14.6m
Company HQ
Old Mountain View, Mountain View, CA
Articles
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 4 more jobs at Sybill