Jobs at OP Labs

Positions 373,421

OP Labs was founded in 2019 in San Francisco and has quickly become a leader in AI‑driven design automation, offering tools that let architects generate 3D models in seconds. The company’s flagship product, AutoSketch, powers enterprise workflows for automotive and aerospace firms, and its research team publishes papers on generative adversarial networks in top AI conferences.

OP Labs hires across the full tech stack. Software engineers focus on scalable microservices, data scientists build predictive models for design optimization, product managers guide roadmap for both SaaS and enterprise clients, UX designers shape intuitive interfaces, and DevOps specialists maintain CI/CD pipelines on Kubernetes. Candidates can expect flexible remote schedules, quarterly equity grants, and a culture that rewards rapid iteration and cross‑functional collaboration.

Searching OP Labs on Job Transparency gives you immediate access to verified salary ranges, employee sentiment scores, and interview feedback. This data lets you benchmark offers against peers, negotiate confidently, and choose roles that match your career goals.

Frequently Asked Questions

What is it like to work at OP Labs?
Employees describe a flat hierarchy, frequent hackathons, and a mission‑driven atmosphere focused on solving real‑world design problems. Teams meet weekly for cross‑disciplinary syncs, and the company offers unlimited learning credits, wellness stipends, and a remote‑first policy that supports work‑life balance.
What types of positions are available at OP Labs?
OP Labs opens roles in software engineering (frontend, backend, full stack), data science, machine learning research, product management, UX/UI design, quality assurance, and DevOps/infra. Recent postings include Senior ML Engineer, Senior Backend Engineer, Product Owner – Enterprise, and Lead UI Designer.
How can I stand out as an applicant?
Showcase a portfolio that includes open‑source contributions or personal projects related to generative AI or design tools. Provide a GitHub link with clean code, unit tests, and documentation. Prepare for technical interviews by practicing system design, algorithms, and coding challenges on platforms like LeetCode or HackerRank. Highlight experience with cloud services (AWS, GCP) and container orchestration (Kubernetes).

Other Companies Hiring

© 2026 Job Transparency. All rights reserved.