Overview
On Site
USD 180,000.00 - 250,000.00 per year
Full Time
Skills
Unified Communications
Computer Science
Budget
Value Engineering
MAGIC
Artificial Intelligence
Squarespace
Marketing
Sales
TypeScript
Analytics
Redis
Continuous Integration
Continuous Delivery
Hosting
Electronic Commerce
Mentorship
Management
Real-time
Startups
Twilio
Reliability Engineering
Apache Kafka
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Amazing Benefits + Founding Equity
This Jobot Job is hosted by: Ryan Kilroy
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000 - $250,000 per year
A bit about us:
We wee founded in 2021 by a few UC Berkeley in 2011 while studying computer science. We launched in late 2022 and grew to over 1000+ paying customers in under a year with no sales or marketing budget. To date, we've raised over $8.4M in seed funding from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, and Base Case Capital. We're headquartered near Union Square in San Francisco 1.
We are building an AI-first alternative to Shopify, Squarespace, and Tiktok Shops. Our platform designs and launches your shop and entire marketing campaign, providing data-driven insights within days. We are creating an ecommerce specialist in everyone's pocket, capable of selling anything from Tums during the Super Bowl to United Airlines tickets to Tahiti 1.
Why join us?
Why Join Us:
Job Details
Who We Need: We are looking for a senior backend engineer with 4+ years of experience (up to 10-11 years) who has hands-on experience with Kafka, ClickHouse, and event-driven architectures. The ideal candidate is a "frontline firefighter" who has managed systems at scale (thousands/millions of users) and experienced the full lifecycle of scaling analytics/event-processing infrastructure 1.
Responsibilities:
Qualifications:
Disqualifiers:
Ideal Candidate Background:
Key Signals:
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Ryan Kilroy
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000 - $250,000 per year
A bit about us:
We wee founded in 2021 by a few UC Berkeley in 2011 while studying computer science. We launched in late 2022 and grew to over 1000+ paying customers in under a year with no sales or marketing budget. To date, we've raised over $8.4M in seed funding from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, and Base Case Capital. We're headquartered near Union Square in San Francisco 1.
We are building an AI-first alternative to Shopify, Squarespace, and Tiktok Shops. Our platform designs and launches your shop and entire marketing campaign, providing data-driven insights within days. We are creating an ecommerce specialist in everyone's pocket, capable of selling anything from Tums during the Super Bowl to United Airlines tickets to Tahiti 1.
Why join us?
Why Join Us:
- Technical Co-Founders: Yuxin Zhu, former staff engineer/engineering manager for the commerce platform team at Uber, and Noah Gilmore, former principal engineer at Plangrid 1.
- Strong Metrics: We skipped our Series A due to exceptional metrics. Our cap table is not over-diluted, offering significant equity to team members 1.
- Real Customers: Over 3000+ customers, including SMBs and large companies like MARS (Skittles, M&Ms). Our product has an 80+ NPS score, and customers love it 1.
- In-Person Team: Our team is based in San Francisco, working in a hybrid model (3 days in-office) 1.
Job Details
Who We Need: We are looking for a senior backend engineer with 4+ years of experience (up to 10-11 years) who has hands-on experience with Kafka, ClickHouse, and event-driven architectures. The ideal candidate is a "frontline firefighter" who has managed systems at scale (thousands/millions of users) and experienced the full lifecycle of scaling analytics/event-processing infrastructure 1.
Responsibilities:
- Architect and implement backend systems in TypeScript/Node.
- Design and build an ingestion pipeline for our analytics/insights products with > 99.99% uptime on Kafka, ClickHouse, and Redis.
- Improve CI/CD stability.
- Build out durable/distributed cart/hosting for our ecommerce product.
- Deploy a multi-tenant NextJS app for shops in Cloudflare.
- Mentor junior engineers on best practices 1.
Qualifications:
- 4+ years of hands-on experience with Kafka and distributed systems.
- Experience with real-time event processing and event-driven architectures.
- Strong CS fundamentals required for distributed systems.
- Experience managing systems at scale and handling unexpected failures.
- Ability to translate technical infrastructure needs into business requirements 1.
Disqualifiers:
- Less than 4 years of experience or limited to companies with only dozens of customers.
- Engineers from large public companies who lack hands-on building experience.
- Lack of CS fundamentals required for distributed systems.
- No direct experience with real-time event processing 1.
Ideal Candidate Background:
- CS or STEM degree preferred (or equivalent additional experience).
- Experience from pre-Series D startups that built similar systems.
- Worked at companies like Amplitude, Twilio, Stripe, PostHog, or Sentry.
- Balanced system reliability with business/product needs.
- Can architect solutions that scale with rapid user growth 1.
Key Signals:
- Managed systems through unexpected failures and learned valuable lessons.
- Can speak to specific technical challenges overcome with Kafka or similar technologies.
- Shows deep understanding of distributed systems principles and failure modes.
- Can translate between technical infrastructure and business needs 1.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.