The roleAs a Human Data Operations & Solutions Engineer at Encord, you will sit at the intersection of technical sales and hands-on data operations. You are the expert who takes a prospect from first demo to a working proof of concept - not just by showing the platform, but by actually delivering a small-scale, high-quality annotation sample that demonstrates what best-in-class data operations looks like in practice.
You'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for the client. With a strong focus on robotics and autonomous driving, you'll be working with some of the most technically complex and data-intensive AI use cases in the industry.
What you'll do- Partner with Account Executives to lead the technical and operational strategy for complex enterprise sales cycles, co-owning the path to a successful proof of concept
- Lead deep technical discovery sessions with ML Engineers, MLOps leaders, and non-technical stakeholders to understand data requirements and design the right annotation workflow
- Manage end-to-end delivery of small-scale annotation POCs - translating complex AI requirements into clear instructions for annotation specialists, auditing outputs, and iterating on quality until the sample is client-ready
- Build and deliver tailored demonstrations that combine platform capability with live, real-world annotation results - particularly for robotics, autonomous driving, and multimodal sensor data (LiDAR, camera fusion, etc.)
- Act as a trusted advisor to clients on annotation workflow design, data quality, and the operational processes that underpin model performance
- Provide structured feedback and guidance to annotation teams during POC delivery, ensuring outputs meet the quality bar required to win client confidence
- Translate findings and operational results into clear value propositions for senior, non-technical stakeholders
- Serve as the voice of the customer to Product and Engineering, channelling detailed technical feedback from enterprise clients to shape the roadmap
Who we're looking for- A sharp operator who combines structured, consulting-style thinking with hands-on execution - you're equally comfortable designing a workflow on a whiteboard and auditing annotation outputs in a spreadsheet
- Technically fluent: you can query a database, write a Python script to automate a workflow, or dig into annotation outputs to identify quality issues - and you know enough about ML pipelines to speak credibly with engineers
- A natural communicator who can run a compelling demo, walk through a POC delivery, and explain what it all means to a VP in plain language
- Genuinely passionate about AI, with particular interest in robotics, autonomous driving, and the data operations challenges that come with physical AI
- Entrepreneurial and collaborative - you take ownership, move fast, and thrive when the work is ambiguous and high-stakes
Experience requirements- 1-3 years of professional experience, ideally spanning strategy consulting, AI/technology operations, or customer-facing technical roles (Solutions Engineering, Technical Account Management, or similar)
- Proven ability to own complex, multi-stakeholder workflows end-to-end - from scoping and planning through execution, quality assurance, and client communication
- Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs
- Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability - ideally involving human-in-the-loop or structured labelling workflows
- Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients
- Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage and ML workflow patterns
- Bonus: hands-on experience with computer vision, LiDAR, robotics sensor data, or autonomous driving datasets; prior exposure to data annotation platforms or quality management frameworks; experience in a customer-facing technical role at an AI company
Why Encord- Competitive salary, commission, and meaningful equity in a high-growth start-up
- Clear, accelerated growth opportunities as the company scales rapidly
- Strong in-person culture: 4 days/week in our newly launched North Beach loft office
- Flexible PTO to fully recharge
- 18 paid vacation days in the U.S. plus federal holidays
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
