Solutions Engineer

Labelbox’s mission is to build the best products to align with artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Labelbox's data engine enables organizations to dramatically improve the quality of their training data, which makes their machine learning models more accurate and performant. We are determined to build software that is more open, easier-to-use, and singularly focused on helping our customers get to production AI faster.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.




Your Day to Day

 
Improve customer's experience by providing technical support, sharing best practices, leading technical discussion, discovering use cases, delivering product demos and proof of concept to show the value of Labelbox
 
Build trust and establish relationships with the customer teams, helping them realize value from Labelbox, and working backwards from optimal customer experience
 
Engage with Product teams to guide them through customer requests and provide input to the roadmap
 
Become an expert in Labelbox, and related partner products, as customers will seek your advice and expertise


About You

 
4+ years of experience in customer facing technical role
 
Proficiency in Python
 
Experience with Hugging face or AI model training, data warehouses, APIs
 
Experience using Cloud Infrastructure with GCP, AWS, or Azure
 
Understanding of the language and technical stacks of ML/infra engineers and data scientists
 
As the technical stacks evolve continuously, being curious and a life-long learner is a requirement
 
Strong presentation and communication skills, both verbal and written
 
Entrepreneurial and problem-solving mindset, experience managing customer challenges and seeing them through resolution
 
Technical Bachelor's degree (Computer Science, Engineering, Mathematics)



Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for this United States based position is $140,000 - $160,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Do great work. From anywhere.

We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.