Technical Product Manager - Data Annotation & Labelling at Skild AI
Skild AI is hiring a Technical Product Manager - Data Annotation & Labelling in San Mateo. On-site. Pay: USD 100k-300k/yr.
About Skild AI
Skild AI is building general-purpose robotic intelligence: an AI system designed to control different types of robots across a range of tasks. The company works on applications such as robot platforms for security and inspection in hazardous environments, and mobile manipulation platforms that handle low-level skills like grasping, handover, and navigation. Its approach centers on data-driven machine learning to make the AI robust in unseen scenarios.
Technical Product Manager - Data Annotation & Labelling job description
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection. This individual will manage a cross-functional team, build scalable systems, and make a significant impact in a rapidly evolving space. This role is crucial for driving execution and continuously improving workflows and systems to support rapid growth. This is a high visibility role that will have enormous impact on the company’s trajectory.
Responsibilities
- Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines.
- Drive data operations programs collaborating with operations managers, technicians and engineering
- Build 0-1 solutions for large scale data pipelines
- Work with executive leadership to develop data operations strategy and align these to overall corporate goal
Preferred Qualifications
- 5+ years of experience in a fast-paced, startup-like environment
- 2+ years in a technical role (e.g., engineer, program manager, product manager) at a technology company
- Strong technical problem-solving skills, with the ability to quickly learn complex systems
- Proven track record of supporting cross-functional stakeholders across customers, product, and engineering
- Proven ability to communicate effectively with senior management
- Ability to define and drive technology strategy
- Previous entrepreneurial experience
- Experience building products or initiatives from 0 to 1
- BS/MS in Technical discipline
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