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 90 , 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.

• Project Management – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.
• Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.
• Technical Solutioning– Be the expert of Encord products and offer technical advice to client regarding Encord best practices; Proactively suggest ways to improve project efficiencies via advanced platform features (e.g., data agents).
• Data Analysis– Perform ad hoc data analysis to generate insights for client projects, as well as for internal operations need.
• Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies.

• You have a strong foundation in technical roles with at least 1 year of experience in relevant areas like data operations, AI workflows, or solution engineering.
• You have experience in project management, operations, and/or client relationship management.
• You have good understanding of using Python SDKs, APIs, SQL and cloud integrations is needed.
• You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.
• You are passionate in AI and machine learning, with experience in computer vision orgenerative AI being a strong plus.
• You have a hacker mindset to solve customer problems quickly and efficiently.

We encourage you to apply even if you do not believe you meet all of the requirements. We are looking for smart talent driven to action more so than accolades!

More about the Role & Encord

- Competitive salary and equity in a hyper growth business.

- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.

- 18 days annual leave a year public holidays.

- Clear and concrete opportunities to grow – a year ago we were 25 people, now we’re over 60. We’ll be growing insanely fast over the next 24 months and you’ll have all the opportunities for growth that you can handle. 

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.