Goldenberry

Senior-led AI consultancy

We help companies build with AI, train their teams, and advise their leaders.

Senior experience, embedded in your team. We start with one small feature and grow into a long-term partnership.

Botanical plate of Physalis alkekengi with numbered anatomical details: leaves, flower, husk and fruit in cross-section. Thomé, 1885.
Physalis alkekengi · pl. Thomé, 1885

Trusted by engineering and operations teams at

Senior-led
Twenty-plus years of engineering leadership. The person on the contract does the work.
Long-term
Start small, grow from there. Most engagements become lasting partnerships.
Outcomes
Not hours. Every engagement is anchored to a business outcome, not activity metrics.

Three ways we work

Build. Train. Advise. Each ends with something you own.

Engineering and operations, same rigour. We work best with ambitious teams in complex, regulated environments: production AI in the product, and internal tools that finance, legal, marketing and ops teams own and run.

Read how a deployment actually runs
Build

Build.

We bring senior experience and build with your team, in your codebase, in your stack, teaching as we go. Production AI features, and internal tools for finance, legal, marketing and ops that the team owns end-to-end.

How it runs

Senior engineers embedded in your team. Starts with one feature and usually grows into a long-term partnership.

You keep Features in production with runbooks, evals where models are involved, and a cost model you can plot against revenue.
Train

Train.

Not a workshop. A senior engineer, a peer who has already made the switch, a real problem from your backlog, and room to learn by shipping.

How it runs

Small cohorts of three to four engineers, or continuous pairing inside a build engagement.

You keep A curriculum your team re-runs for the next cohort, and a hiring profile for the next AI-capable engineer.
Advise

Advise.

Senior-led advisory beside your leaders. Most engagements open with a five-dimension readiness benchmark: interviews across your teams, ending in a ranked action list.

How it runs

After the benchmark, ongoing advisory beside your leadership for as long as it earns its place.

You keep A readiness scorecard defensible to a board, and every architecture decision on record with the option we rejected.

How an engagement runs

Start small. Grow from there.

Every engagement starts with one small feature and senior engineers embedded in your team. Most grow into long-term partnerships: new features, new teams, new functions.

The start

We begin by shipping.

We arrive with a thesis and put real work in front of internal users early. No discovery theatre, no kickoff deck.

The rhythm

A steady release cadence.

Pair programming, code reviews, architecture counsel. Usually a few threads at once: a retrieval pipeline, a model call path, a piece of internal tooling.

The review

Honest checkpoints.

What is in production, at what cost, at what quality. We almost always restructure something here, and name who owns each piece going forward.

The shift

Them-and-us becomes them.

The team pushes back on our design choices and is right. Someone ships a feature we did not propose. That is progress worth celebrating.

The record

Everything written down.

Runbooks your team can follow, quality checks that keep learning from real usage, and every architecture decision on record with the option we rejected.

Marie Founder, A Calm Co

A note from a client

“Chris is a very experienced senior engineer who quickly grasped what our product needed, even with incomplete input and without handholding.

He worked closely with our CPO on v2 of our product, while our CTO trusted him fully and could focus on other parts of our engine. Chris works fast, reliably finds solutions, and treats everyone with genuine respect. We’d gladly work with him again!”

Botanical engraving of Alkekengi officinarum (Physalis alkekengi) from Pierre Joseph Garidel, Histoire des plantes qui naissent aux environs d'Aix-en-Provence, 1715.
Alkekengi officinarum · P. Garidel, MDCCXV

From the field

Notes from the work.

Patterns we see often enough to write down. No hype, no predictions. Full essays in the articles index.

About us

Portrait of Chris Jiménez

Chris Jiménez, founder.

Engineering leader · Builder · Advisor

Twenty-plus years leading engineering teams across Europe, the US and Latin America, from senior engineer to VP of Engineering: scaling teams from a handful of people to large organisations, and running platform, security and AI operations.

Goldenberry is founder-led and stays that way.

More about Chris at chris-jimenez.com

Let’s talk

Build with AI. Start with one feature.

Thirty minutes, free, and a working session rather than a pitch: we look at your situation and pick where AI would pay off first. You leave with a ranked next move whether or not we work together. If it fits, we start with that one feature and grow from there.

Watercolor of Physalis alkekengi by Laurent de Chazelles, 1796.
Physalis alkekengi · L. de Chazelles, MDCCXCVI