Overview
On Site
USD 150,000.00 - 220,000.00 per year
Full Time
Skills
FOCUS
Value Engineering
AIM
Business Development
Writing
User Experience
Data Structure
Product Engineering
Expect
Kubernetes
Systems Design
Microservices
Artificial Intelligence
Startups
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Founding Equity + 100% Paid Benefits + 401k
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: $150,000 - $220,000 per year
A bit about us:
Our mission is to instantly solve production bugs using AI technology. In 2023, companies lost $2.2 trillion to production software errors. We aim to change that by building tools that provide instant fixes to production code errors. Our vision is to write 1% of all software without a human in the loop by automating fixes for production bugs. We've raised $2.4 million from South Park Commons and The House Fund, with our investors having previously backed notable companies including Pilot, Transcend, Perplexity AI, and Superhuman.
Why join us?
Joining us will make you a 10X engineer if you aren't already, and you get to build for yourself. We have runway until 2027, giving you the stability to focus on high-level technical development and creativity. We've spent countless hours maintaining production systems and handling on-call rotations, but with Foam, we aim to make engineering jobs more engaging and focused on core business development.
Job Details
As a Backend Product Engineer at Foam, you will be a generalist who is as comfortable working with frontend engineers as you are with systems design. Your responsibilities will include:
Increasing the general intelligence of us by writing prompts and building infrastructure.
Supporting our user experience by helping to build data structures that create incredible experiences.
Broadening how we collect data by building efficient ways of collecting and storing diagnostic data.
This role is focused on product engineering, so while some experience with microservices is appreciated, we don't expect you to be a Kubernetes expert or to have extensive experience coding through configuration files.
Requirements:
Nice-to-Have:
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: $150,000 - $220,000 per year
A bit about us:
Our mission is to instantly solve production bugs using AI technology. In 2023, companies lost $2.2 trillion to production software errors. We aim to change that by building tools that provide instant fixes to production code errors. Our vision is to write 1% of all software without a human in the loop by automating fixes for production bugs. We've raised $2.4 million from South Park Commons and The House Fund, with our investors having previously backed notable companies including Pilot, Transcend, Perplexity AI, and Superhuman.
Why join us?
Joining us will make you a 10X engineer if you aren't already, and you get to build for yourself. We have runway until 2027, giving you the stability to focus on high-level technical development and creativity. We've spent countless hours maintaining production systems and handling on-call rotations, but with Foam, we aim to make engineering jobs more engaging and focused on core business development.
Job Details
As a Backend Product Engineer at Foam, you will be a generalist who is as comfortable working with frontend engineers as you are with systems design. Your responsibilities will include:
Increasing the general intelligence of us by writing prompts and building infrastructure.
Supporting our user experience by helping to build data structures that create incredible experiences.
Broadening how we collect data by building efficient ways of collecting and storing diagnostic data.
This role is focused on product engineering, so while some experience with microservices is appreciated, we don't expect you to be a Kubernetes expert or to have extensive experience coding through configuration files.
Requirements:
- 5+ years as a backend/full-stack engineer.
- Experience working closely with users.
- Systems design experience.
- Familiarity with microservices.
- Experience using AI coding tools.
Nice-to-Have:
- Startup experience.
- Tenure at a competitive tech company.
- Experience building LLM applications like chatbots.
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.