Growth Ops, Sybill
PLG and Social
+ Equity
Office located in Mountain View, CA
Sales intelligence & automation
Posted today
Sales intelligence & automation
21-100 employees
Posted today
+ 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
- This is not a traditional “ops” role, it’s a growth-enablement role for someone who can think in systems, build scrappy automations, and translate data into action
- 3–5 years of experience in marketing ops, growth ops, product ops, or similar roles—ideally in a PLG SaaS environment
- Deep understanding of PLG dynamics and user journeys across signup, activation, retention, and referral
- Strong foundation in product analytics (Amplitude, Mixpanel, GA4, or similar) and data wrangling (SQL, Looker, etc.)
- Automation chops - comfortable with tools like Zapier, Retool, Airtable, or custom scripts
- Curiosity and intuition for social media mechanics - especially how content travels on platforms like LinkedIn, X, and YouTube
- Systems thinker who thrives on making cross-functional work efficient and measurable
What the job involves
- We’re looking for someone who can build and improve the behind-the-scenes systems that support our product-led growth (PLG) and social media efforts
- You’ll work across teams to help us move faster, learn from data, and run experiments more smoothly
- Your job is to make sure everything, from signups to social campaigns, is tracked, automated, and running like a well-oiled machine
- Track What Matters: Set up the right data tracking across the product and marketing channels so we can understand what’s working (or not) and run better experiments
- Find and Share Insights: Analyze product and campaign data, build dashboards, and surface useful trends that help the team make faster, smarter decisions
- Automate Workflows: Build simple, no-code or low-code automations that save time, reduce manual work, and help us scale faster
- Support Growth Experiments: Help the team launch and measure product or marketing experiments by making sure the right systems and data are in place
- Think in Systems: Understand the full user journey from first click to referral and help design smooth, connected experiences across touchpoints
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
Old Mountain View, 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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