AI Platform Implementation Engineer, CloudFactory

Salary not provided

+ Quarterly variable compensation

SQL

AWS

Python

Bash

Azure

Postman

Drift

JSON

REST API

Junior and Mid level

Remote from UK

Workforce solutions for artificial intelligence

Open for applications

Workforce solutions for artificial intelligence

1001+ employees

B2BArtificial IntelligenceElectric VehiclesComputer VisionMachine LearningSaaSOutsourcingData IntegrationSocial ImpactCloud Computing

Open for applications

Salary not provided

+ Quarterly variable compensation

SQL

AWS

Python

Bash

Azure

Postman

Drift

JSON

REST API

Junior and Mid level

Remote from UK

1001+ employees

B2BArtificial IntelligenceElectric VehiclesComputer VisionMachine LearningSaaSOutsourcingData IntegrationSocial ImpactCloud Computing

Company mission

To connect one million people in the developing world to digital-age work, while raising them up as leaders to address poverty in their own communities.

Job

Company

Role

Who you are

This is a hands-on, technical role for someone who enjoys solving real-world integration challenges, troubleshooting system friction, and translating complex technical concepts into actionable solutions
Education: Bachelor’s degree in Computer Science, Information Technology, Management Information Systems or equivalent practical experience
2–4 years of experience in Technical Support, Implementation Engineering, or Customer Success Engineering
Proven track record of onboarding customers to SaaS platforms or technical data products
Experience working with cross-functional teams (Product, Delivery, Sales)
Root Cause Analysis: Ability to look at an error log and determine if it’s a user error, a platform bug, or a configuration mismatch
Documentation: A compulsion to document "fixes" into reusable Knowledge Base articles or runbooks
Client Empathy: The patience to explain technical concepts to non-technical stakeholders

What the job involves

As an AI Platform Implementation Engineer, you will own the technical activation of new customers on the CloudFactory platform. You will ensure seamless integration of client data, authentication systems, and ML workflows, enabling customers to launch production pilots with speed and confidence. This role sits at the intersection of AI, data engineering, and customer enablement
You will be the technical bridge between Customer, Product, and Delivery during the most critical phase of the customer lifecycle: activation and early adoption
Customer Need Analysis: Run customer workshops to understand their pain points, problems they are trying to solve and how CloudFactory can help them
Rapid Configuration: Execute technical setups for new client accounts, including SSO integration, IAM user management, and workspace configuration
Standard Integrations: Connect client data sources to the CloudFactory Platform using our standard connectors
Client Enablement: Run technical training sessions to teach client teams how to use our "Model Playground," upload datasets, interpret quality reports etc
Troubleshooting: Serve as the first line of defense for technical friction during the first 90 days
Feedback Loop: Document friction points in the onboarding process and work with Internal Product teams for future enhancements

Our take

AI and machine learning continue to advance, yet many AI disruptors lack the ability to process and label the voluminous amount of data required to feed complex AI and machine learning algorithms. CloudFactory’s WorkStreams combine people and technology to deliver high-quality data to meet the needs of businesses of all sizes.

CloudFactory sets itself apart by creating economic & leadership opportunities for talented people in developing nations. Delivery centres in Nepal and Kenya have become anchors within their communities, which drive economic and social impact. CloudFactory processes millions of tasks a day for companies including Microsoft, GoSpotCheck, Hummingbird Technologies, Ibotta, and Luminar.

The company is poised for tremendous growth across many industry verticals where AI technology continues to grow rapidly. Moving forward, Cloudfactory is focusing on scaling operations whilst continuing to deliver high-quality data work for its global customers. To do so, it is planning to invest in workforce development, global market awareness and technology advancement. Regarding the latter, CloudFactory launched Accelerated Annotation in 2023, an AI-powered annotation tool that maximises efficiency, exemplifying its continued forward movement in product development.

Freddie

Company Specialist at Welcome to the Jungle

Insights

40% female employees

6% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 5 rounds)

Nov 2019

$65m

EARLY VC

May 2017

$7.3m

SERIES B

Total funding: $78m

Company benefits

Market competitive salary
Earn, Learn and Serve
Health and medical Insurance
Meaningful work
Flexible and remote working
Variable compensation
Growth opportunities and personal development
Great company culture
Wellness programs and initiatives

Company HQ

City Center, Durham, NC

Leadership

Mark Sears

(Founder & Chairman)

Founded CloudFactory in 2010 in Nepal after having started their career as a software developer for Sun Microsystems and later growing and leading tech startups in Canada and the United States.

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