What are the responsibilities and job description for the Senior Software Engineer position at Sybill?
About the Company:
At Sybill.ai, we're building the next evolution in B2B sales – an AI-first platform that transforms how sellers work.
Think of it as an 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 $1.2M ARR last year, our customers' enthusiasm speaks for itself.
Our Engineering Culture
Zero bureaucracy - direct access to customers and quick decision-making
High ownership - you'll own features end-to-end from design to deployment
Customer obsession - we build for real user needs and measure real impact
Technical excellence - we tackle hard problems and build robust solutions
Rapid shipping - we push code daily and see immediate customer impact
The Opportunity:
We're seeking a senior backend engineer who combines strong computer science fundamentals with high ownership and customer focus. You'll be designing and implementing scalable systems that power our core product features, working at the intersection of distributed systems and AI infrastructure.
What You'll Own:
Design and implement end-to-end backend systems with high reliability and performance
Build and scale core infrastructure powering our AI features
Drive critical technical decisions that impact product architecture
Work directly with customers to understand their needs and ship solutions
Ensure operational excellence with minimal to zero downtime
Technical Skills We're Looking For
>>> Systems & Infrastructure
Deep understanding of distributed systems and scalable architectures
Strong experience with data storage systems (PostgreSQL, Redis, S3)
Expertise with queueing/streaming systems (Kafka, SQS)
Solid grasp of system design patterns and tradeoffs
Experience building high-throughput, low-latency services
>>> Engineering & Product
Track record of shipping complex backend features end-to-end
Strong programming fundamentals and code quality
Experience with Python and modern web frameworks (FastAPI)
Understanding of AI/ML systems integration
Ability to translate customer requirements into technical solutions
Qualifications:
BS/MS in Computer Science from a top US university
5 years of hands-on backend development experience
Proven track record as a technical owner at a fast-paced startup
Strong bias for action and ability to ship with minimal direction
Available to work 4 days/week in Mountain View
What Sets You Apart:
Track record of building 0→1 products and seeing them scale
Experience with AI/ML infrastructure and large-scale data processing
History of high-impact technical decisions that drove product success
Ability to mentor others on system design and architecture
What We Offer:
Competitive compensation: $180,000 - $240,000 significant equity
Modern tech stack focused on engineering productivity
Direct impact on product architecture and technical decisions
Regular system design discussions and technical deep dives
Comprehensive health benefits and flexible time off
If you're passionate about building robust backend systems at scale and want to work on challenging technical problems while delivering real user value, we'd love to talk to you.
Note: We're looking for a long-term technical leader who brings positive energy and has a track record of shipping impactful products.
At Sybill.ai, we're building the next evolution in B2B sales – an AI-first platform that transforms how sellers work.
Think of it as an 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 $1.2M ARR last year, our customers' enthusiasm speaks for itself.
Our Engineering Culture
Zero bureaucracy - direct access to customers and quick decision-making
High ownership - you'll own features end-to-end from design to deployment
Customer obsession - we build for real user needs and measure real impact
Technical excellence - we tackle hard problems and build robust solutions
Rapid shipping - we push code daily and see immediate customer impact
The Opportunity:
We're seeking a senior backend engineer who combines strong computer science fundamentals with high ownership and customer focus. You'll be designing and implementing scalable systems that power our core product features, working at the intersection of distributed systems and AI infrastructure.
What You'll Own:
Design and implement end-to-end backend systems with high reliability and performance
Build and scale core infrastructure powering our AI features
Drive critical technical decisions that impact product architecture
Work directly with customers to understand their needs and ship solutions
Ensure operational excellence with minimal to zero downtime
Technical Skills We're Looking For
>>> Systems & Infrastructure
Deep understanding of distributed systems and scalable architectures
Strong experience with data storage systems (PostgreSQL, Redis, S3)
Expertise with queueing/streaming systems (Kafka, SQS)
Solid grasp of system design patterns and tradeoffs
Experience building high-throughput, low-latency services
>>> Engineering & Product
Track record of shipping complex backend features end-to-end
Strong programming fundamentals and code quality
Experience with Python and modern web frameworks (FastAPI)
Understanding of AI/ML systems integration
Ability to translate customer requirements into technical solutions
Qualifications:
BS/MS in Computer Science from a top US university
5 years of hands-on backend development experience
Proven track record as a technical owner at a fast-paced startup
Strong bias for action and ability to ship with minimal direction
Available to work 4 days/week in Mountain View
What Sets You Apart:
Track record of building 0→1 products and seeing them scale
Experience with AI/ML infrastructure and large-scale data processing
History of high-impact technical decisions that drove product success
Ability to mentor others on system design and architecture
What We Offer:
Competitive compensation: $180,000 - $240,000 significant equity
Modern tech stack focused on engineering productivity
Direct impact on product architecture and technical decisions
Regular system design discussions and technical deep dives
Comprehensive health benefits and flexible time off
If you're passionate about building robust backend systems at scale and want to work on challenging technical problems while delivering real user value, we'd love to talk to you.
Note: We're looking for a long-term technical leader who brings positive energy and has a track record of shipping impactful products.
Salary : $180,000 - $240,000
