About this role
Frontdesk AI seeks a Founding Full-Stack Engineer for an in-person position in the San Francisco Bay Area to build core software that transforms factory operations. This opportunity suits a driven engineer with two to three years of experience who wants to shape early product architecture and deploy scalable systems.
Role Overview
As the initial engineering hire, the selected candidate collaborates directly with the founders to construct the central intelligence engine that modernizes manufacturing facilities. The position requires working in person four to five days a week in the San Francisco Bay Area, with relocation options available. Expected weekly hours range from fifty to seventy, balancing high commitment with personal pursuits. This role centers on creating systems that translate fragmented industrial data into actionable institutional intelligence across multiple enterprise sectors.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Frontdesk AI operates under the Takt initiative, which aims to give factories institutional intelligence through connected AI agents that reason about operational environments. Funded by Pear VC and participating in the PearX accelerator, the enterprise was established by Adhitya Raghavan and Will Zunker to eliminate global manufacturing waste by redefining the industry as a software-defined space.
How to Apply
Visit the official company careers page to submit an application for this founding engineering position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is based in the San Francisco Bay Area, requiring an in-person schedule of four to five days a week, with relocation options open for qualified applicants.
What is the expected compensation?
The annual salary ranges from 120K to 180K USD, accompanied by an equity stake between 0.5% and 1%.
How many years of experience are required?
Applicants must have a minimum of two to three years of prior professional experience.
What cloud platform is preferred for this role?
Azure is the preferred cloud infrastructure platform for this position.
What is the expected work schedule?
The role expects a commitment of fifty to seventy hours per week while maintaining space for personal interests.
