Solutions Engineer

About Us

At Encord, we are building the AI infrastructure of the future. The biggest challenge AI companies face today is all about data quality. The success of any AI application 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 100+, 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 of 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 for a rockstar Machine Learning Solutions Engineer to join us in building our GTM team.

The Role

As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting-edge of AI. You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator.

Responsibilities

• Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win.
• Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to uncover business pain and architect a complete technical solution and integration path.
• Architect, build, and deliver highly-technical, customized product demonstrations and proof-of-concepts that solve specific, complex customer problems.
• Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations.
• Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data.
• Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs).
• Serve as the "voice of the customer" to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap.

About You

• 2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management.
• Coding experience with hands-on experience building and debugging scripts and solutions using Python or other scripting languages.
• Experience with SDKs is desirable.
• Excellent communication and presentation skills.
• Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts.
• A "hacker mindset" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles.
• A solution-driven and customer-obsessed mindset.
• Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord.

Beneficial

• Hands-on experience working with multimodal AI, sensor-fusion, physical-AI, LiDAR data, or in the robotics industry.

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+.
• 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.