Full Stack Software Engineer, Sybill
Support
$45-75k
+ Equity
More information about location
Sales intelligence & automation
Be an early applicant
Sales intelligence & automation
21-100 employees
Be an early applicant
$45-75k
+ Equity
More information about location
21-100 employees
Company mission
To empower B2B reps to sell twice as much.
Role
Who you are
- We are looking for full-stack engineers who are passionate about interfacing with users
- They should also have a strong software engineering background, including Python(FastAPI, Pydantic), and NoSQL databases (such as MongoDB), intermediate-to-advanced experience working with AWS services, and familiarity with ML and AI.
- The ideal candidate will also have communication and customer service skills, empathy, and ethical decision-making. Basically, you will wear two hats most of the time:
- Experience: 4+ years of experience as a software engineer or similar. Full-stack or backend experience is a must-have. Experience in early-stage startups is a plus
- Technical Expertise: Demonstrate strong full-stack development skills, including proficiency in Python, Shell Scripting, experience with AWS (common services), and NoSQL databases such as MongoDB. Familiarity with AI and ML is nice to have
- Education: Bachelor’s degree in Computer Science or a related field, or equivalent experience
- Customer-Focused: Show a genuine passion for helping users succeed and an ability to empathize with their challenges
- Collaborative: Work well with cross-functional teams to achieve common goals and drive product improvements
- Communicator: Possess excellent written and verbal communication skills in English to interact effectively with users and internal teams
- Adaptable: Thrive in a fast-paced, early-stage startup environment, showing resilience and flexibility in the face of challenges
What the job involves
- At Sybill, we believe that exceptional customer support is one of the central pillars of our success, and we are looking for a Full-Stack Engineer who shares this belief.
- This unique role blends software engineering with customer interactions to build critical parts of our products with highest feedback velocity from our users.
- The Detective Hat: You will deeply investigate issues or incidents and once the investigation is complete, it will be time for action and resolution by fixing the bug or creating effective scripts to solve the issue in an effective way. You will also be communicating with our users (using Intercom) in a timely and responsible manner
- The Engineering Hat: Create automation scripts or API to improve our customer support infrastructure and help us uphold our customer obsession while reducing the support workload from our team. You will have freedom to use your creativity and use AI and automation to improve our customer’s experience
- Technical Support: Provide in-depth technical assistance to users, troubleshooting and resolving complex issues related to our product
- Python Development: Write and maintain scripts to automate specific tasks and handle unique customer cases efficiently
- Bug Investigation and Resolution: Investigate reported bugs and incidents, identify root causes, and implement solutions to ensure timely resolution
- User Interaction: Communicate effectively with users to understand their needs, provide solutions, and ensure their success with our product
- Collaboration: Work closely with product, design, and engineering teams to improve our product based on customer feedback and reported issues
- Documentation: Document customer interactions, feedback, and technical issues systematically, contributing to our knowledge base and product documentation
- US/Pacific Time zone Support: Given that a majority of our users are US-based, you'll need to be available for at least 6 hours between 9 am PT to 5 pm PST
Application process
- Resume Shortlisting: After your resume is selected, you'll receive a link for a 1-hour take-home assignment
- Take-Home Assignment: This stage tests your proficiency in Python, MongoDB, ShellScript and AWS. We also assess your communication skills during this round. Upon successful evaluation of your responses, we'll arrange an interview for you
- Technical Team Interview: In this phase, we delve deeper into your technical abilities and explore how you've addressed customer issues in past roles
- Offer Extended: If everything aligns, we're excited to welcome you aboard!
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.
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