# Solutions Engineer

**Company:** [Encord](https://hotfix.jobs/companies/encord)
**Location:** New York, NY, London, United Kingdom
**Role:** Sales Engineering
**Experience:** 1+ years
**Skills:** Python, REST APIs, SDKs, GCP, AWS, Azure, Machine Learning, MLOps, Data Pipelines, Lidar, Robotics, Sensor Fusion, Multimodal Ai
**Posted:** 2026-07-14

> Own technical strategy, discovery, demonstrations, and proof-of-concepts for complex enterprise AI customers. The role requires production-quality Python, cloud infrastructure expertise, machine learning knowledge, and the ability to communicate with both technical practitioners and senior business stakeholders.

## Job Description

## 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 technical discovery sessions with ML Engineers, MLOps leaders, and other stakeholders to uncover business pain and architect complete technical solutions and integration paths.
- Architect, build, and deliver customized product demonstrations and proof-of-concepts (POCs) for complex customer problems.
- Own end-to-end POC implementation, writing production-quality Python scripts for data ingestion, preprocessing and postprocessing, dataset management, and custom platform integrations.
- Advise prospects through security, architecture, and integration evaluations, including complex pipelines involving multimodal data, LiDAR, or robotics sensor data.
- Translate technical architectures and findings into persuasive value propositions for Directors, VPs, CTOs, and other senior stakeholders.
- Share detailed technical customer feedback with Product and Engineering teams to help shape the product roadmap.

## Requirements
- 1–5+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management.
- Hands-on coding experience building and debugging scripts and solutions using Python or other scripting languages.
- Ability to write clean, production-quality Python scripts for data ingestion, pipeline automation, API integrations, and custom tooling.
- Strong communication and presentation skills with technical and senior business audiences.
- Strong technical command of modern cloud infrastructure, including GCP, AWS, or Azure.
- Understanding of machine learning concepts and the ML development lifecycle, from data preparation and annotation through model training, evaluation, and deployment.
- Ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in complex enterprise sales environments.
- Track record of earning trust with ML engineers, MLOps professionals, and data engineers while communicating value clearly to senior business stakeholders.
- Experience navigating enterprise security, compliance, and architecture reviews during technical sales or implementation processes.
- A creative, engineering-focused problem-solving approach and a customer-obsessed mindset.

## Nice to Have
- Experience with SDKs, REST APIs, and custom integrations.
- Hands-on experience with multimodal AI, sensor fusion, physical AI, LiDAR data, robotics sensor data, or robotics applications.
- Experience at a high-growth startup or scale-up.

## Compensation and Benefits
- Competitive salary, commission, and meaningful equity.
- Clear growth opportunities as the company scales.
- Flexible paid time off.
- Annual learning and development budget.
- Comprehensive health, dental, and vision coverage.
- Frequent travel opportunities across the U.S., London, and Europe.
- Company offsites, team lunches, and monthly socials.

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