Python Data Integrations Engineer, Retina AI

Salary not provided

SQL

AWS

Python

MySQL

Redshift

Spark

Snowflake

Kinesis

Facebook Ads

Mid and Senior level

Los Angeles

Remote from US

Early customer valuation solution platform

Job no longer available

Early customer valuation solution platform

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSData AnalysisSales

Job no longer available

Salary not provided

SQL

AWS

Python

MySQL

Redshift

Spark

Snowflake

Kinesis

Facebook Ads

Mid and Senior level

Los Angeles

Remote from US

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSData AnalysisSales

Company mission

Retina AI's mission is to help clients increase their revenue by optimising their customer-level profitability. Its customer intelligence platform harnesses the power of AI and deep machine learning to provide accurate customer value metrics, empowering teams to boost their business operations and pursue growth.

Job

Company

Role

Who you are

3+ years of Python 3 development experience across multiple applications
2+ years of experience with SQL Databases: Example: Snowflake, AWS Kinesis, Redshift, MySQL
1+ years of experience interfacing with Web/REST-ful APIs. Example: Google Ads, Facebook Ads
Polyglot software engineering mindset: find the right tool for the job and master it
Strong problem solving skills and attention to detail

Desirable

Experience with "big data" systems such as Apache Spark / Databricks
Marketing data analytics systems
AWS Cloud Experience
Experience in data security

What the job involves

Develop and deploy new data integrations between the Retina platform and external data systems. Including: data warehouses, web APIs, and customer data platforms
Orchestrate our data science models and build out automated monitoring and alerts. Take the models built by our data scientists into production
Collaborate with Retina data scientists and engineers to build out scalable solutions to new needs

Our take

Retina AI produces tools which leverage AI technology and a company’s customer data to identify their most valuable customers (those most likely to return for more). It does this in a number of ways including lead scoring, budget optimization and lookalike-customer identification.

One of the most important metrics for online businesses is Customer Lifetime Value, but this also happens to be one of the most difficult to calculate and predict. Retina’s tools make this easy to view by integrating with Shopify, as well as Google and Facebook’s Ads platform.

Despite only setting up shop in 2017, Retina already powers a number of key enterprises – including Nestle, Capital One Shopping and Maddison Reed. As they grow, Retina AI plans to begin targeting smaller new companies who don’t have the resources to tackle customer data themselves.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (2 rounds)

Jun 2021

$8m

SERIES A

Feb 2020

$2.5m

EARLY VC

Total funding: $10.5m

Company benefits

Vision and dental insurance
Wellness stipend
Company stock options
Equal opportunity employer
Work from home opportunities
Health insurance

Company HQ

Wilshire Montana, Santa Monica, CA

Leadership

Michael Greenberg

(Chairman)

Michael worked as a UCLA Director for almost 4 years prior to co-founding ScaleFunder. After its acquisition by Ruffalo Noel Levitz, they left to co-found Retina AI in March 2017, serving initially as CEO and currently as Chairman.

Emad Hasan

(CEO)

Emad started their career with 6 years as a Controls Engineer at Sikorsky Aircraft and Boeing before working as a Consultant for Booz Allen Hamilton. They worked at PayPal and Facebook before founding Xpertly in 2016, and Retina the following year.

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