Our Resources
Analytics Engineer
Offshore Possible
Builds data models
Analysts and AEs share a lot of similarities, but AEs can be thought of as more reclusive and preferring to engage mostly with the data via SQL; they are genuinely excited by the idea of gleaming data models that all fit together perfectly
Analyst
Offshore Possible
interfaces with biz/BI teams; spec's work for AEs; leads investigations
Analysts can do AE work but are more excited by helping humans push the business forward; they like to brainstorm data frameworks for AEs to build as well as teach BI analysts how to answer questions
Data Infrastructure Engineer
Offshore Possible
Puts together pipes, servers, etc
Young companies only need a fraction of a data infrastructure engineer; AEs and Analysts build using the tools and systems that Data Infra engineers set up
Analytics Manager
Offshore Possible
oversees ICs; some strategic thinking; tactical prio
Healthy ratio is 1 manager for 4-6 ICs; for smaller team, manager is factional; manager still gets in the weeds
Data Infrastructure Manager
Offshore Not Possible
oversees ICs; lots of architecting
healthy ratio is 1 manager for 4-6 ICs; for smaller team, manager is factional; manager still gets in the weeds
AI Engineer
Offshore Not Possible
There are many variations and subspecialities (LLMs, Computer Vision, Optimization, Basic ML) with different labor market dynamics
AI Infrastructure Engineer
Offshore Not Possible
Most commonly manages the productionization and deployment of AI models
Director VP/CDO
Offshore Not Possible
High-level vision to push business goals; has seen this many times before
A good one still gets in the weeds to figure out the right vision or push critical projects
Analytics Manager
Data Infrastructure Manager
AI Engineer
AI Infrastructure Engineer
Director VP/CDO
Our Hiring Standard
We seek candidates who thrive in a high-expectation,
fast-paced environment similar to a top-performing NYC startup.
fast-paced environment similar to a top-performing NYC startup.
Explore Related pages
Cost Reduction Principles
We focus on streamlining operations, eliminating waste, and maximizing resource efficiency to achieve sustainable cost savings.
Data Analytics
At the lowest level Data Analytics begins with raw data collection; at the highest, its about structuring discussion of the business, piecing together accurate assessments, and actionable recommendations.
Resources Type
We adopt a decentralised structure to empower our team, drive innovation, and swiftly adapt to the rapid advancements in AI.
Assessment & Proposals
We deliver comprehensive analytics and AI proposals through detailed assessments and strategic outlines to ensure alignment with your business goals.
Maintaining Velocity
In almost all companies there is a healthy tension between complete work asap irrespective of nebulous future needs versus building so that foundations remain robust and velocity can be maintained. At Flatiron we like to think that we’ve cracked the code for this balance.
