Solutions Engineer

London. Posted 4 months ago

The role

You will act as a technical expert and problem-solver for complex customers by partnering with the commercial team. You will architect and implement solutions, lead technical discovery, and deliver customized product demonstrations and proof-of-concepts.

What you will do

Partner with Account Executives and the ML team to lead technical strategy for enterprise sales cycles
Lead deep technical discovery sessions with stakeholders
Architect, build, and deliver customized product demonstrations and proof-of-concepts
Own end-to-end technical implementation of POCs using Python scripts
Act as a technical advisor to prospects regarding security, architecture, and integration
Translate technical architectures into value propositions for senior stakeholders
Serve as the voice of the customer to Product and Engineering teams

Required qualifications

1 - 5+ years of experience in a customer-facing role within an AI business
Coding experience building and debugging scripts using Python or other scripting languages
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure)
Strong technical command of machine learning concepts
Ability to translate value between technical and commercial stakeholders
Proficiency in Python for data ingestion, pipeline automation, and API integrations
Hands-on experience with at least one major cloud platform
Solid understanding of machine learning concepts and the ML development lifecycle
Ability to lead technical discovery and own end-to-end POC delivery
Track record of earning trust with technical audiences and communicating value to senior stakeholders
Experience navigating enterprise security, compliance, and architecture reviews

Nice to have

experience with SDKs is desirable
experience with REST APIs and SDKs is strongly preferred
Prior experience in a high-growth start-up or scale-up strongly preferred
hands-on experience working with multimodal AI, sensor-fusion, physical AI, LiDAR data, or in the robotics industry
Familiarity with multimodal data formats, LiDAR, robotics sensor data, or physical AI applications

Benefits

Competitive salary, commission, and meaningful equity
Clear, accelerated growth opportunities
Strong in-person culture: 4 days/week
Daily team lunches & dinners
Annual learning & development budget
Comprehensive health, dental, and vision coverage
US employees: 18 paid vacation days plus US public holidays
UK employees: 25 paid vacation days plus UK public holidays
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites & monthly socials

About the company

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ leading AI teams. The team includes founders, scientists, quants, researchers, and former Olympians.