3 weeks ago
Technical Programme Manager - (Data Ops/Machine Learning)
About Us
At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is 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 75+, 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 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.
The Role
As a Technical Programme Manager, you will be working closely with customers and the wider human data operations team to manage client’s data operations projects. You will be a focal point between the commercial and technical teams at Encord. This role is perfect for individuals with a passion for AI, data operations, and solving real-
world problems.
Your Responsibilities:
About you:
What we offer:
- Competitive salary, commission and equity in a hyper growth startup.
- Real opportunities to grow. We’ll be growing insanely fast over the next 24 months and you’ll have all the opportunities for growth that you can handle.
- Strong in person culture (3+ days a week in our London office)
- Annual learning and development budget.
- Bi-annual off-sites and monthly socials.
- If you're excited about working on cutting-edge AI data solutions and making a real impact in the field of machine learning, we'd love to hear from you!