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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.
Job Responsibility:
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 to not only uncover business pain but to architect a complete technical solution and integration path
Architect, build, and deliver highly-technical, customized 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, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap
Requirements:
2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
Expert-level proficiency in Python is a must
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
A solution-driven and customer-obsessed mindset
Ability to translate value between technical and commercial stakeholders
Nice to have:
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
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