Cordtechnologies5mo ago

Solutions Engineer

London · (london)Full timemid

OtherSolutions Engineer

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Quick Summary

Overview

About Us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates,

Technical Tools

OtherSolutions Engineer

About Us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.

Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

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.

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 not only uncover business pain but to architect a complete technical solution and integration path

Architect, build, and deliver highly-technical, customised product demonstrations and proof-of-concepts (POCs) 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, channelling detailed, technical feedback from complex enterprise clients to help shape the product roadmap

Coding experience — 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 — you can confidently command a room of engineers and just as easily simplify complex concepts for senior decision-makers

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 — while you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success

Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord

Bonus: hands-on experience working with multimodal AI, sensor-fusion, physical AI, LiDAR data, or in the robotics industry

1 — 5+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management

Proficiency in Python, with the ability to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred

Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows

Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment

Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in a complex enterprise sales environment

Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders

Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process

Prior experience in a high-growth start-up or scale-up strongly preferred

Bonus: Familiarity with multimodal data formats, LiDAR, robotics sensor data, or physical AI applications

Competitive salary, commission, and equity in a high-growth start-up

Strong in-person culture — most of the team works from our London office 4+ days/week

25 days annual leave + UK public holidays

Annual learning & development budget

Travel for customer visits, events, and conferences across the UK and Europe

Company lunches twice a week

Monthly socials & bi-annual team offsites