AI Product Developer
Stress Free Auto Care
| Company | Stress Free Auto Care |
| Category | Engineering |
| Location | Austin |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 20 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Join the Team at Stress-Free Auto Care: Where Your Skills and Passion Drive Success!
Stress Free Auto Care is redefining the auto repair experience by delivering exceptional service with honesty, transparency, and convenience. Our mission is simple: make auto care a stress-free, trustworthy experience for everyone. Join us on this exciting journey and play a pivotal role in reshaping the automotive service industry! AI Product Developer
AI Systems & Operational Applications | Stress-Free Auto Care
About Stress-Free Auto Care
At Stress-Free Auto Care , we are building internally developed operational software designed specifically for modern automotive service operations. Our platform combines shop management systems, workflow automation, customer communication, operational analytics, and AI-assisted tooling into a unified ecosystem used by both frontline employees and customers.
As we continue scaling the platform across live production environments, we are looking for a highly capable Product Engineer to help rapidly build, improve, and operationalize AI-driven applications across the business.
This is a highly cross-functional role that sits at the intersection of product, operations, AI systems, and real-world execution.
About the Role
This is not a traditional software engineering role.
We are not looking for someone who has spent their entire career purely as an engineer. We are looking for a highly intelligent technical generalist who enjoys solving operational problems, rapidly building solutions with AI tools, and working directly alongside end users in live environments.
You’ll be working directly with the CEO at a venture capital backed and fast growing company. The ideal candidate is highly adaptable, execution-oriented, and capable of figuring things out quickly across multiple domains.
Candidates with experience from top-tier consulting firms, financial institutions, hedge funds, or similarly analytical environments may be especially strong fits.
This role is best suited for someone who thrives in fast-moving, ambiguous, and highly iterative environments.
The role fuses product, engineering, and design, enabled by AI
Responsibilities
Build and improve internal operational applications using modern AI development tools
Observe real-world operational workflows and identify inefficiencies or usability challenges
Rapidly prototype, test, and deploy workflow improvements
Work directly with frontline shop teams to improve operational usability and system adoption
Translate operational problems into scalable technical solutions
Participate in AI workflow optimization and prompt engineering initiatives
Support rapid iteration cycles across deployed systems and operational platforms
Improve usability, reliability, and scalability across internal applications
Partner closely with leadership and operational teams to continuously improve platform functionality
Projects may include:
Shop management systems,
Finance-related applications,
HR applications,
Operational tracking tools
AI-driven training or simulation environments.
Qualifications
5–10 years of experience in a highly analytical, technical, or operational environment
Experience using AI-assisted development tools such as Claude, Codex, and GitHub
Ability to explain when and why to use different AI tooling and workflows
Strong problem-solving ability and intellectual curiosity
Strong communication skills with both technical and non-technical stakeholders
Ability to operate effectively in fast-moving and ambiguous environments
Highly autonomous with strong execution capability
A computer science background is a plus, but not required.
We care far more about intelligence, adaptability, product instincts, and execution capability than traditional engineering credentials.
What This Role Is Not
This is not a meeting-heavy product management role, a traditi
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