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Open nowPosted 190 days ago

Especialista de Produto

abinbev535 open roles

Where
Gl Ibs D&O
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Your applicationOpen nowEspecialista de Produtoabinbev · Gl Ibs D&O

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. abinbev postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 190 days ago

abinbev median: 6 days open

The posting

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

About the Role

We’re looking for a Product Manager with a strong technical background to lead the Data Engineering products of BrewDat.

Your main mission is to:

  • Build and evolve the vision, strategy, and roadmap for BrewDat’s data engineering capabilities (ingestion, transformation, and serving).
  • Understand and prioritize user needs from data engineers, analytics engineers, ML engineers, and domain teams.
  • Turn complex platform capabilities into clear, usable products that make data teams more productive and autonomous.

You’ll work in a cross-functional squad alongside engineers, a Delivery Manager, architects, and governance specialists, and you’ll collaborate closely with the Adoption team, who bring users’ needs to the product area.

Key Responsibilities:

  • Product Strategy & Vision
  • Define and evolve the product vision for BrewDat's data engineering layer (ingestion, transformation, and serving).
  • Translate company and data strategy into a clear, prioritized roadmap for your squad.
  • Discovery & User-Centricity
  • Deeply understand the needs of data engineers, analytics engineers, domain squads, and internal platform users.
  • Run product discovery: interviews, usage analysis, experiments, and feedback loops with internal customers.
  • Roadmap & Delivery
  • Own and manage the product backlog for the Data Engineering squad.
  • Write clear problem statements, user stories, and acceptance criteria, focusing on outcomes rather than outputs.
  • Work in an Agile environment, participating in ceremonies and ensuring alignment between Product, Engineering, and Architecture.
  • Measurement & Continuous Improvement
  • Define and track product KPIs: adoption, CSAT from users, build times, time-to-data, platform reliability, etc.
  • Use data and feedback to continuously refine priorities and validate if shipped features are creating value.
  • Promote a culture of experimentation and continuous improvement within the squad.
  • Stakeholder Management & Communication
  • Align with multiple stakeholders (domains like sales, marketing, supply, finance, tech, etc.).
  • Communicate roadmap, progress, trade-offs, and impact clearly and frequently.
  • Partner with the Adoption team to launch new capabilities, manage change, and scale usage.

What We’re Looking For:

Must-Have

  • Solid experience as a Product Manager (or Product Owner acting as PM) in:
  • Data platforms, data engineering, analytics platforms, or developer/platform tools, or
  • Technical products with strong infrastructure or backend components.
  • Technical background (e.g., Computer Science, Engineering, Data, or equivalent experience). You don't need to code daily, but you must:
  • Be comfortable discussing architecture, pipelines, and technical trade-offs with engineers.
  • Understand concepts like data pipelines, ETL/ELT, orchestration, data lakes, data warehouses, and APIs.

Strong skills in:

  • Product discovery and problem framing.
  • Prioritization and roadmap management.
  • Ability to navigate complex stakeholder environments, negotiate priorities, and align diverse interests.
  • Strong communication skills in English (written and spoken).

Nice-to-Have (Differentials)

  • Experience with some of the technologies and concepts we use is a big plus, but not mandatory:
  • Cloud & Data: Azure, Databricks, Apache Spark, Airflow, Unity Catalog.
  • Engineering Practices: GitHub, CI/CD, code review flows, Data Mesh.
  • Experience with internal platforms or "products for developers/data teams" is especially valuable.
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