Especialista de Produto

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 forBrewDat’sdata 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,participatingin 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 andvalidateif 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 andfrequently.

• Partner with the Adoption team to launch new capabilities, manage change, and scale usage.

WhatWe’reLooking For:

Must-Have

• Solidexperienceas aProductManager (orProductOwneractingas PM) in:

• Dataplatforms, dataengineering,analyticsplatforms,ordeveloper/platformtools,or

• Technicalproductswithstronginfrastructureorbackendcomponents.

• Technicalbackground (e.g., Computer Science,Engineering, Data,orequivalentexperience).Youdon’tneedtocodedaily,butyoumust:

• Becomfortablediscussingarchitecture, pipelines,andtechnicaltrade-offswithengineers.

• Understandconceptslike data pipelines, ETL/ELT,orchestration, datalakes, datawarehouses,andAPIs.

Strong skills in:

• Productdiscoveryandproblemframing.

• Prioritizationandroadmapmanagement.

• Abilitytonavigatecomplexstakeholderenvironments,negotiatepriorities,andaligndiverseinterests.

• Strong communication skills inEnglish(writtenandspoken).

Nice-to-Have (Differentials)

• Experiencewithsomeofthetechnologiesandconceptsweuseisa big plus,butnotmandatory:

• Cloud & Data: Azure,Databricks, Apache Spark,Airflow, UnityCatalog.

• EngineeringPractices: GitHub, CI/CD,codereviewflows, DataMesh.

• Experiencewithinternalplatformsor“productsfordevelopers/datateams”isespeciallyvaluable.