
Senior Product Manager, AI (U.S. Only)
Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML 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.
About The Role
Labelbox approaches product management uniquely. At Labelbox, product managers are directly responsible for revenue, usage, and user happiness for products. They practice full-cycle product management, every step from ideation, building, launch, and iteration.
You’ll be working closely with nearly all functional groups in the company: design, engineering sales, support and success team, and the founders. You are expected to be highly autonomous, requiring little supervision.
Model Diagnostics Team https://labelbox.com/product/model-diagnostics
Like software, building any production AI model requires rigorous testing, debugging, and monitoring. All these essential steps are data-centric. Neural networks are in themselves merely a matrix of numbers. The performance evaluation, debugging, and monitoring are conducted with the data itself. Model Diagnostics enables AI teams to evaluate & monitor the performance of their AI models. It eliminates the need for AI teams to build in-house platforms or use another vendor to solve this specific problem. Instead, the customers seamlessly integrate their model performance evaluation workflows within Labelbox.
The position is based in North America.
About You
Experience with deep learning
You are a systems thinker and are able to dive deep into problems
Intermediate programming skills
You have built some form of collaboration within the technical software application
2+ years of experience of building and shipping products
Adept at collecting and distilling customer insights via user interviews, prototype testing, and data analysis
A supreme knack for bringing simplicity and focus to complex and ambiguous concepts or situations
Ability to execute fast
What You Will Accomplish
Own and advance a key pillar of the core Labelbox platform for machine learning engineers
Discover new problems worth solving that advance the product and increase user value
Design and develop product features iteratively and collaboratively
Increase revenue, usage, and delight for the core platform orchestration product
Prioritize what the engineering team should build every sprint
Become the “go-to” person for your product area for all departments inside the company
Market your product features (intercom, email, blog posts, webinars, presentations)
Help acquire or expand customers by partnering with Sales and CSM
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.
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