Cadre AI is an AI strategy and integration firm that builds production AI
systems for B2B companies in private equity, wholesale lending, real estate, and
SaaS. We do not build decks about what AI could do. We ship systems that move
revenue, compress costs, and automate the work that used to take entire teams.
THE ROLE
Cadre sells solutions as blocks: productized engagements that clients buy from a
library spanning things like document analysis, data and pipeline solutions,
scoring engines, and conversational systems. You will own the technical layer
beneath that library. Every block decomposes into components, and you decide how
to ensure that those components get built once, configurably, and reused across
every client who buys them.
Day to day, you will be in the repos and in the pricing sheets. You will
decompose blocks into named components, track how often each one attaches to a
sold engagement, and prioritize what gets productized next based on what that
reuse is actually worth.
When a client asks for something new, you hold the
final call on whether it is an existing block, an assembly of existing
components, or genuinely net-new engineering. That call sets the hours, and the
hours set the margin.
You will start as an individual contributor inside Product and Research, then
work directly with the head of product engineering and the engineering team
directly to build out these reusable components. This role suits someone with
strong opinions about abstraction boundaries who is equally comfortable
defending an estimate to a sales team and a client in the same conversation.
WHAT YOU'LL DO
COMPONENT TAXONOMY AND MODULE ARCHITECTURE
* Decompose every block in Cadre's library into named technical components +
product requirements, each with a defined configuration surface, an owner,
and a maturity rating.
* Define the classification framework that determines what qualifies as a
reusable
📌 Staff Product Architect (Colombia)
🏢 Go Cadre
📍 Colombia
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