About this role
The Product Lead role at Encord is based in London and suits an experienced product professional looking to shape foundational AI data infrastructure. This position involves owning a key product segment, guiding strategy from inception to execution, and leading a team of product managers.
Role Overview
Encord seeks a Product Lead for its London office to direct a portion of the core platform and data curation infrastructure. Operating within a growing enterprise environment, this role focuses on solving complex technical challenges for AI teams across autonomous vehicles, healthcare, and robotics.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Encord operates as a data layer platform for AI, assisting organizations in indexing, curating, annotating, and evaluating training data. The company has secured $60M in Series C funding from investors including Wellington Management, CRV, Next47, and Y Combinator, and supports clients such as Woven by Toyota, AXA, UiPath, and Zipline.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in London, with the team working in-person from the office four or more days per week.
What level of experience is required for the Product Lead position?
The posting requires product experience, ideally within a rapidly scaling startup, along with a background in managing or formally mentoring other product managers and working on B2B SaaS or technical enterprise products.
What benefits are included with this role?
Benefits include a competitive salary, meaningful equity, 25 days of annual leave plus UK public holidays, an annual learning and development budget, travel across the UK and Europe, company lunches twice a week, monthly socials, and bi-annual team offsites.
What does Encord as a company do?
Encord builds the universal data layer for AI, providing a platform that indexes, curates, annotates, and evaluates data across the AI lifecycle for teams in autonomous vehicles, healthcare, robotics, and generative AI.