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Associate Product Manager - Physical AI

Cord Technologies London Today

product

About Encord

At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.

As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord.

We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Product team to help us in building a better product for our customers.

What you’ll work on / the team you’ll join

We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll help shape the product roadmap and tackle challenges such as large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers.

The Role

As an Associate Product Manager at Encord, you will support the development and growth of our Physical - AI platform. You will work closely with Senior PMs to ship products that solve real customer problems in the rapidly evolving AI data development space.

You will need to coordinate with high performing teams across ML, Engineering, Design and Sales. This role requires excellent communication skills in order to lead customer interviews and webinars.-

- Problem Solving: Break down complex problems into actionable steps and work with the relevant teams to implement solutions.

- Product Judgement: Evaluate and prioritise incoming Feature Requests, as well as propose new features to stay ahead of trends in the AI Data space.

- Customer Engagement:Conduct customer interviews to gather insights, and translate these into product requirements.

- Product Development: Collaborate with engineering and design teams to create detailed product specifications and drive the development process.

- Cross-Functional Collaboration:Work closely with Engineering, ML, and Customer Success teams to ensure alignment and successful execution of product initiatives.

About you

- 1-2 years of experience working in product development, consulting, or technical project management. Experience in scale-up environments is a bonus.

- Ability to execute under pressure and uncertainty, with a strong sense of urgency.

- Technical curiosity with ability to understand APIs, data pipelines, and ML workflows at a conceptual level.

- You thrive in ambiguity and can decompose messy, ill-defined problems into clear execution plans.

- Experience with side projects, hackathons, or personal technical projects is a plus.

We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn

What We Offer

- Competitive salary, and equity in a hyper growth business.

- Strong in-person culture: most of our team is in the office 3+ days a week.

- Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.

- 25 days annual leave a year + public holidays.

Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.