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Jobs(26,958)/Solutions Engineer Role(322)/encord (15) - Solutions Engineer
encord

encord - Solutions Engineer

London, United Kingdom+ Equity3mo ago
In OfficeJuniorEMEACloud ComputingArtificial IntelligenceSolutions EngineerAdvisorRESTPythonTechnical WritingProspectingLearning & Development

Requirements

• 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

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 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

Benefits

• 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 • Flexible PTO to fully recharge • 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

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