Product Manager at Encord (W21)
£70K - £90K GBP  •  
The data development platform for AI teams
London, England, GB
Full-time
3+ years
About Encord

At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly and the most time-consuming.

As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.

We’re a team of 60 working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other prominent leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.

About the role

About Us

At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.

As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.

We are a talented and ambitious team of 60, working at the cutting edge of multimodal and visual AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking to expand our Product team to help us in building a better product for our customers.

The Role

As a Product Manager at Encord, you will play a crucial role in driving the development and growth of our AI infrastructure products. You will work closely with our Engineering, ML, Design, and Customer Success teams to deliver products, features, and solutions that meet the needs of our customers. This role is customer-facing and requires excellent communication skills to conduct and lead customer interviews, problem discovery, webinars, and demos.

- Product Roadmap: Help define and manage the product roadmap, ensuring alignment with wider company goals and KPIs.

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

- Customer Engagement: _Conduct customer interviews to gather insights, and translate these into product requirements. Lead webinars, customer demos, and onboarding sessions to ensure customer success and satisfaction.

- Product Development: Collaborate with engineering and design teams to create detailed product specifications and ensure high-quality product development.

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

- Data Analysis: _Use SQL and other data querying tools (e.g. Heap or Tableau) to analyze product performance and inform decision-making.

About you 

- 3-5 years of experience in product management with a proven track record, preferably in AI/ML or data-heavy B2B companies. Experience in scale-up environments is a bonus. 

- Customer-Oriented Product Mindset with the ability to synthesize trends and anticipate future customer needs and market demands.

- Proficiency in SQL and data querying. Experience building or tinkering with products in the AI/ML space is a plus.

- You love problems and are able to understand and break down complex problems into manageable tasks. You are passionate about speaking to customers and learning about the data development problems at the forefront of AI and vision technology.

- Excellent communication skills for leading internal sessions and external engagements such as webinars and demos.

- Ability to execute under pressure and uncertainty, with a strong sense of urgency. You are a self-starter by nature and want to be a part of building a hyper-growth business from the ground up.

What We Offer

- Competitive salary, commission 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 25 people, now we're 60. 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.

Technology

The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.

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