Why QuantrexTech?

We're building the future of work, and we want you to be part of it.

🚀

Cutting-Edge Technology

Work with the latest AI and machine learning technologies, pushing the boundaries of what's possible.

🌱

Growth & Learning

Continuous learning opportunities, conference attendance, and skill development programs.

⚖️

Work-Life Balance

Flexible working hours, remote work options, and unlimited PTO policy.

💰

Competitive Package

Competitive salary, equity options, comprehensive health benefits, and performance bonuses.

🤝

Collaborative Culture

Work with brilliant minds in a supportive, inclusive, and innovation-driven environment.

🌍

Global Impact

Your work will impact businesses worldwide and shape the future of automation.

Open Positions

Find your next career opportunity with us.

Senior AI Engineer

📍 San Francisco, CA / Remote 💼 Full-time

Lead the development of our next-generation AI automation platform. Work with cutting-edge machine learning technologies and help shape the future of business automation.

Python TensorFlow PyTorch Kubernetes AWS

Product Manager - AI Solutions

📍 New York, NY / Remote 💼 Full-time

Drive product strategy and roadmap for our AI automation solutions. Work closely with engineering, design, and customer success teams to deliver exceptional products.

Product Strategy AI/ML Agile Analytics B2B SaaS

DevOps Engineer

📍 Austin, TX / Remote 💼 Full-time

Build and maintain our cloud infrastructure and deployment pipelines. Ensure scalability, reliability, and security of our AI automation platform.

Docker Kubernetes AWS Terraform CI/CD

UX/UI Designer

📍 Seattle, WA / Remote 💼 Full-time

Design intuitive and beautiful user experiences for our AI automation platform. Create user-centered designs that make complex AI technology accessible to everyone.

Figma Design Systems User Research Prototyping B2B UX

Customer Success Manager

📍 Chicago, IL / Remote 💼 Full-time

Help our enterprise clients maximize value from our AI automation solutions. Build strong relationships and drive customer satisfaction and retention.

Customer Success SaaS Enterprise Sales Project Management AI/ML Knowledge

Data Scientist

📍 Boston, MA / Remote 💼 Full-time

Analyze complex datasets to improve our AI models and automation algorithms. Drive data-driven insights to enhance product performance and customer outcomes.

Python R SQL Machine Learning Statistics

Our Hiring Process

We believe in a transparent and efficient hiring process.

1

Application Review

We review your application and resume within 2-3 business days.

2

Initial Screening

30-minute phone or video call to discuss your background and interests.

3

Technical Interview

Role-specific technical assessment or case study discussion.

4

Team Interview

Meet with potential team members and discuss collaboration and culture fit.

5

Final Decision

We'll make a decision within 1-2 days and extend an offer if it's a mutual fit.