Zeer Ambev Tech / intent / ambev-tech

Ambev Tech

1001-5000 employees·Blumenau, South Carolina, United States·ambevtech.com.br

Observed, not inferred · updated weekly

Buying intent

45 tracked signals | Top 15 topics are below | Engineering and Product are carrying most of it.

37signals · 30 days
23topics tracked
86.96%attributed to a team

Attention by team

LinkedIn activity, by team

Where Ambev Tech's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Cloud Computing
Artificial Intelligence
Career Development
Microsoft Azure
CI/CD
Software Development
Engineering
High33% of team Engineering to Cloud Computing: High, 33% of this team's signals
Medium11% of team Engineering to Artificial Intelligence: Medium, 11% of this team's signals
Low6% of team Engineering to Career Development: Low, 6% of this team's signals
Medium17% of team Engineering to Microsoft Azure: Medium, 17% of this team's signals
Medium17% of team Engineering to CI/CD: Medium, 17% of this team's signals
Medium17% of team Engineering to Software Development: Medium, 17% of this team's signals
Product
Product to Cloud Computing: no signal
Low50% of team Product to Artificial Intelligence: Low, 50% of this team's signals
Low50% of team Product to Career Development: Low, 50% of this team's signals
Product to Microsoft Azure: no signal
Product to CI/CD: no signal
Product to Software Development: no signal
Others
Others to Cloud Computing: no signal
Medium67% of team Others to Artificial Intelligence: Medium, 67% of this team's signals
Low33% of team Others to Career Development: Low, 33% of this team's signals
Others to Microsoft Azure: no signal
Others to CI/CD: no signal
Others to Software Development: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Cloud Computing
LinkedIn
High volume
96%
last
15d ago
Artificial Intelligence
LinkedIn
High volume
96%
last
2d ago
Career Development
LinkedIn
Medium volume
98%
last
14d ago
Microsoft Azure
LinkedIn
Medium volume
98%
last
18d ago
CI/CD
LinkedIn
Medium volume
98%
last
15d ago
Software Development
LinkedIn
Medium volume
95%
last
15d ago
Microsoft (MSFT)
LinkedIn
Medium volume
94%
last
18d ago
Professional Development
LinkedIn
Medium volume
96%
last
14d ago
Cold Calling
LinkedIn
Medium volume
96%
last
15d ago
Azure Container Registry
LinkedIn
Medium volume
98%
last
15d ago
Leadership Development
LinkedIn
Low volume
98%
last
29d ago
Data Engineering
LinkedIn
Low volume
98%
last
7d ago
Cloud-Native Security
LinkedIn
Low volume
98%
last
11d ago
Dark Patterns
LinkedIn
Low volume
98%
last
30d ago
GitHub Actions
LinkedIn
Low volume
98%
last
15d ago

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Who's active at Ambev Tech

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others6 active
Senior ICresearching Azure Databricks
in
Leadershipresearching Leadership Development
in
Senior ICresearching Cloud-Native Security
in
researching Artificial Intelligence
in
Engineering5 active
researching Cloud Computing
in
researching Cold Calling
in
researching Career Development
in
data scientist
researching Artificial Intelligence
in
+ 1 more in Engineering
Product4 active
Product Manager
Leadershipresearching Professional Development
in
Product Owner
researching Dark Patterns
in
Associate Product Manager
Leadershipresearching MBA Programs
in
Associate Product Manager (APM)
Leadershipresearching Artificial Intelligence
in
+ 4 more in Product
Support1 active
support analyst i
researching Cisco Certification
in
+ 1 more in Support

See everyone, not just the first 10

16 people across every department at Ambev Tech, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Nós desenvolvemos conhecimento e tecnologia que facilitam e agilizam a vida das pessoas. Para nós, cada projeto é motivador para romper barreiras, inovar e se reinventar. É assim que nós evoluímos e criamos soluções para transformar as áreas de vendas e logística da maior cervejaria do país: a Ambev. Seja em nossa sede em Blumenau, nas nossas filiais ou em algum dos nossos projetos na América Lati

Top accounts researching Ambev Tech

names withheld on the public page

These are companies whose own people brought up Ambev Tech unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

6,216 companies · 25,686 people are researching Cloud Computing

Ambev Tech's own team shows 6 signals on this topic. No one outside Ambev Tech has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Artificial Intelligence129,094 cos · 649,540 people
  • Career Development57,400 cos · 377,367 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Ambev Tech.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Product — 4 people; Engineering — 2 people; Data / Analytics — 2 people; HR / Talent — 1 person

What's been said

public posts by Ambev Tech's team

No public post naming Ambev Tech has surfaced in the past year, so this is what Ambev Tech's own team is posting about publicly — their topics, in their words.

LinkedInArtificial Intelligence

The reflex to throw bigger models or longer prompts at brittle AI agents often misses the point. The reflex to throw bigger models or longer prompts at brittle AI agents often misses the point.Many think better agent reliability needs massive parameter counts or huge context windows. A different approach helps: making the problem smaller instead of the model bigger. Research shows that smaller models (13-20B parameters) get better results when formal state machines (harness) limit their tool and solution spaces.This approach focuses on using the context window well, rather than just having a big one. Each step gets a tightly scoped working context. That prevents agents from "death spiraling" or wasting tokens on irrelevant information. This is a move from brute-force scaling to smart limits.Before you scale up your model, think about how formalizing agent workflows can improve results with your current resources.

May 2026
LinkedIn

Thank you Paul Ladipo for sharing! Too many Americans who are not Black want to pretend that racism no longer exists..but as the Black Community says over and over and over and over...IT DOES!! 😡 Until America faces and confronts this reality the status quo will remain in place..but as a Black Woman I'm going to continue fighting because too many in my Community gave their blood, sweat, tears and LIVES for us to go back to pre-Civil War!! ✊🏾 ✊🏾 🦋

May 2026
LinkedInProduct Strategy

PT-BR 🎉 Hoje celebro uma conquista muito especial: recebi meu certificado do curso "Roadmap: como criar e manter o mapa de produto"! Durante as aulas, aprendi a criar um roadmap assertivo e bem estruturado, além de conceitos que vão ajudar na estratégia do meu produto. O Método OKR foi uma ferramenta incrível que me mostrou como construir e manter um roadmap eficaz. Também compreendi a importância de trabalhar com diferentes horizontes de tempo e como administrar incertezas no planejamento. Essa jornada me trouxe uma evolução significativa nos meus estudos e estou animado para aplicar todo esse conhecimento! 🚀 #Roadmap #GestãoDeProduto #AprendiNaAlura EN-US 🎉 Today I’m celebrating a very special achievement: I received my certificate for the course “Roadmap: How to Create and Maintain a Product Roadmap”! During the classes, I learned how to build an assertive and well-structured roadmap, as well as concepts that will help shape my product strategy. The OKR Method was an incredible tool that showed me how to create and maintain an effective roadmap. I also gained a better understanding of the importance of working with different time horizons and how to manage uncertainty in planning. This journey brought significant growth to my studies, and I’m excited to apply everything I’ve learned! 🚀 #Roadmap #ProductManagement #LearnedAtAlura

May 2026

About this data. Ambev Tech (ambevtech.com.br). Department attribution is 86.96%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries