Lead and scale operations for robotics data collection and annotation at a pioneering AI startup.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
The Technical Product Manager for Data Annotation & Labelling at Skild AI is responsible for overseeing the entire lifecycle of robotics data collection, from physical setups to contractor management. This role requires strong technical problem-solving skills and experience in building scalable data pipelines, ideally in a fast-paced environment. Suitable candidates will have at least five years of experience, including two in a technical capacity, and a proven ability to collaborate with cross-functional teams. Skild AI's innovative approach to robotic intelligence offers a dynamic setting for those eager to make a significant impact.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
- 248 active Robotics roles on Joblaze right now.
- 5 active data annotation roles on Joblaze right now.
- 3 active Data Labeling roles on Joblaze right now.
- Salary band is below the typical range for Product roles (median ~$185,300).
- Pays more than 12% of the 84 salaried Robotics roles we track (median $142,500).
Quick facts
- What's the salary range?
- Skild AI lists $100,000–$300,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Technical Product Manager - Data Annotation & Labelling role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Labeling, Robotics, data annotation.
- What seniority level is this role?
- Skild AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Technical Product Manager - Data Annotation & Labelling role at Skild AI.
From the original posting
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