Overview
On Site
USD 180,000.00 - 250,000.00 per year
Full Time
Skills
Customer Acquisition
SaaS
Squarespace
ADS
Copywriting
Electronic Commerce
Marketing
Budget
MAGIC
Sales
Artificial Intelligence
Management
Real-time
Analytics
Startups
Twilio
Reliability Engineering
TypeScript
Node.js
JavaScript
React.js
Value Engineering
Apache Kafka
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Founding Equity + Great Benefits
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 are building the commerce platform for the AI age. The web continues to be the most profitable customer acquisition channel for selling goods and services. Over the past two decades, SaaS products like Squarespace and Shopify have dominated online commerce. They've made it easier to set up an online store, but at their core, they're just CRUD apps built on top of payment processors. You still have to design and build the shop, make ads, write copy, analyze data, and keep iterating until you find a channel that works. This often means spending millions on design, development, marketing, copywriting, ad buying, and more.
What if all this could be done for you? We design and launche your shop and entire marketing campaign, and within a few days provides data about what you should change. We are building an ecommerce specialist in everyone's pocket. Tell us what you're selling, and we will sell it for you - whether that's Tums during the Super Bowl (we did this!) or United Airlines tickets to Tahiti.
To date, we've raised over $8.2M from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, Base Case Capital. We grew from 5 to over 3000+ customers in less than 18 months.
About the Team
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 from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, Base Case Capital. We're headquartered in San Francisco.
Why join us?
Selling Points
Who We Need
We are looking for a Backend Engineer with 4+ years of experience (up to 10-11 years). The ideal candidate will have hands-on experience with Kafka, ClickHouse, and event-driven architectures. We need a "frontline firefighter" who has managed systems at scale (thousands/millions of users) and someone who has experienced the full lifecycle of scaling analytics/event-processing infrastructure.
What Disqualifies Candidates
Job Details
Why This Role Matters
Ideal Candidate Background
Tech Stack: Typescript, Node.Js, Kafka, Clickhouse, Cloudflare, Next.Js, React
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 are building the commerce platform for the AI age. The web continues to be the most profitable customer acquisition channel for selling goods and services. Over the past two decades, SaaS products like Squarespace and Shopify have dominated online commerce. They've made it easier to set up an online store, but at their core, they're just CRUD apps built on top of payment processors. You still have to design and build the shop, make ads, write copy, analyze data, and keep iterating until you find a channel that works. This often means spending millions on design, development, marketing, copywriting, ad buying, and more.
What if all this could be done for you? We design and launche your shop and entire marketing campaign, and within a few days provides data about what you should change. We are building an ecommerce specialist in everyone's pocket. Tell us what you're selling, and we will sell it for you - whether that's Tums during the Super Bowl (we did this!) or United Airlines tickets to Tahiti.
To date, we've raised over $8.2M from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, Base Case Capital. We grew from 5 to over 3000+ customers in less than 18 months.
About the Team
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 from Figma, YCombinator, Vercel, General Catalyst, Infinity Ventures, MAGIC Fund, Base Case Capital. We're headquartered in San Francisco.
Why join us?
Selling Points
- Technical co-founders that have known each other for 14 years (Berkeley CS). Yuxin previously was a staff engineer/engineering manager for the commerce platform team at Uber, Noah was principal engineer at another YC company, Plangrid.
- Skipped our Series A because we had such great metrics. Cap table not over-diluted, and have a lot of equity to dish out to people on the team.
- Over 3000+ customers ranging from SMBs to the MARS company (Skittles, M&Ms). Company is AI-first, 80+ NPS score. Customers love the product.
- In-person in San Francisco. Team is locked in.
Who We Need
We are looking for a Backend Engineer with 4+ years of experience (up to 10-11 years). The ideal candidate will have hands-on experience with Kafka, ClickHouse, and event-driven architectures. We need a "frontline firefighter" who has managed systems at scale (thousands/millions of users) and someone who has experienced the full lifecycle of scaling analytics/event-processing infrastructure.
What Disqualifies Candidates
- 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.
Job Details
Why This Role Matters
- Our current senior engineer is spread thin between product and infrastructure.
- Supporting 10 billion monthly events that power analytics insights.
- Enabling upselling to other Replo products based on customer behavior.
- Building the foundation for our "agency in a box" vision.
Ideal Candidate Background
- CS or STEM degree preferred (or equivalent additional experience).
- From pre-Series D startups that built similar systems.
- Worked at companies like Amplitude, Twilio, Stripe, PostHog, or Sentry.
- Has balanced system reliability with business/product needs.
- Can architect solutions that scale with rapid user growth.
Tech Stack: Typescript, Node.Js, Kafka, Clickhouse, Cloudflare, Next.Js, React
Key Signals
- Has managed systems through unexpected failures and learned valuable lessons.
- Can speak to specific technical challenges they've overcome with Kafka or similar technologies.
- Shows deep understanding of distributed systems principles and failure modes.
- Can translate between technical infrastructure and business needs.
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.