Encord

1 week ago

Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Partner with Account Executives and the ML team to drive technical strategy across complex enterprise sales cycles. Lead technical discovery, architect integration solutions, and deliver tailored product demos and proof-of-concepts. Own end-to-end POC implementation by building production-quality Python scripts for data ingestion, processing, dataset management, and platform integrations. Guide prospects through security, architecture, and integration evaluations for multimodal, LiDAR, and robotics sensor pipelines, translating technical findings into business value.

Location: London, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Partner with Account Executives and the ML team to lead technical strategy for complex enterprise sales cycles and co-own the technical win.
•Lead deep technical discovery sessions to uncover business pain and architect the complete solution and integration path.
•Architect, build, and deliver tailored product demonstrations and proof-of-concepts (POCs).
•Own end-to-end technical implementation of POCs, writing production-quality Python scripts for data ingestion and custom platform integrations.
•Serve as the technical advisor to prospects, guiding security, architecture, and integration evaluations and translating findings into business value for senior stakeholders.

Travel: Medium travel

Pay and Benefits

Perks:Annual LearningAnnual Leave

Key Requirements

•1 - 5+ years of experience in a customer-facing role in an AI business (Solutions Engineering, Solutions Architecture, or Technical Account Management).
•Proficiency in Python to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling.
•Hands-on experience with a major cloud platform (GCP, AWS, or Azure), including data storage, compute, and ML workflow deployment patterns.
•Solid understanding of machine learning concepts and the ML development lifecycle from data preparation and annotation through evaluation and deployment.
•Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in complex enterprise sales environments.

Experience:1+ yearsAIEnterpriseMLOpsRoboticsMultimodal AI

Skills:CommunicationPresentationProblem-solvingCustomer-obsessedTranslation

Tech Stack:PythonREST APIsSDKsGCPAWSAzureAPI integrations

Company Brief

Encord

Provides a computer vision data platform for labeling, dataset management, and model evaluation, enabling teams to build, validate, and monitor ML models with collaboration and tooling for high-quality annotated data.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2019

Website LinkedIn

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Encord

1 week ago

Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Partner with Account Executives and the ML team to lead technical strategy for complex enterprise sales cycles and co-own the technical win.
•Lead deep technical discovery sessions to uncover business pain and architect the complete solution and integration path.
•Architect, build, and deliver tailored product demonstrations and proof-of-concepts (POCs).
•Own end-to-end technical implementation of POCs, writing production-quality Python scripts for data ingestion and custom platform integrations.
•Serve as the technical advisor to prospects, guiding security, architecture, and integration evaluations and translating findings into business value for senior stakeholders.

Travel: Medium travel

Pay and Benefits

Perks:Annual LearningAnnual Leave

Key Requirements

•1 - 5+ years of experience in a customer-facing role in an AI business (Solutions Engineering, Solutions Architecture, or Technical Account Management).
•Proficiency in Python to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling.
•Hands-on experience with a major cloud platform (GCP, AWS, or Azure), including data storage, compute, and ML workflow deployment patterns.
•Solid understanding of machine learning concepts and the ML development lifecycle from data preparation and annotation through evaluation and deployment.
•Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in complex enterprise sales environments.

Experience:1+ yearsAIEnterpriseMLOpsRoboticsMultimodal AI

Skills:CommunicationPresentationProblem-solvingCustomer-obsessedTranslation

Tech Stack:PythonREST APIsSDKsGCPAWSAzureAPI integrations

Company Brief

Encord

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2019

Website LinkedIn