Mineral

Product Manager

Porto, Porto District, Portugal

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, Data & Analytics, Supply ChainIndustries

Product Manager - Data Analytics (Retail)

Employment Type: Full-time Location Type: Remote Salary: Not Specified

Position Overview

Mindera is seeking a talented Product Manager to join our world-class team. You will be instrumental in defining the product lifecycle, articulating requirements, managing schedules, and fostering strong communication between development and business teams to ensure successful outcomes. This role is specifically for a Data Analytics team with a focus on the Retail industry, ideally with experience working with large retailers. The ideal candidate will have a proven track record in driving transformation projects, navigating complex technical landscapes, and delivering backend data integration solutions that support large-scale supply chain operations. You will collaborate with Transformation Leads, Business Stakeholders, and cross-functional tech teams to modernize retail systems, transitioning from legacy platforms to next-generation cloud-based solutions.

Travel: National and international travel is expected, varying from 0%-15% based on project/client and organizational needs.

Responsibilities

  • Define, manage, and prioritize product backlogs for data integration and transformation initiatives.
  • Collaborate closely with business stakeholders to gather and validate requirements across various retail functions.
  • Work with engineering teams to deliver scalable and robust data products that interface with both legacy and modern systems.
  • Drive cross-team collaboration between business units, supply chain operations, and technology groups.
  • Align product delivery with transformation roadmaps and overarching organizational goals.
  • Translate technical concepts and constraints into business-friendly language and vice versa.
  • Ensure the compliance and performance of data pipelines across diverse distribution channels (e.g., APIs, cloud streaming).
  • Prioritize initiatives and manage the product backlog effectively.
  • Facilitate Sprint Planning sessions to ensure consistent delivery of value.
  • Run and participate in Sprint Retrospectives to drive continuous improvement.

Requirements

  • Background in the Retail industry.
  • Experience working with large retailers is preferred.
  • Proven experience in driving transformation projects.
  • Experience working across complex technical landscapes.
  • Experience delivering backend data integration solutions for supply chain operations at scale.

Benefits

The Things We Really Care About:

  • Health Insurance
  • Flexible working hours
  • Open holidays
  • Profit distribution for everyone
  • Mindera Annual Trip, Sports, and sharing groups
  • Training & conferences (create your own training plan)
  • Child Care vouchers

Other Good Things:

  • Choice of Laptop & Peripherals
  • Hotspot with unlimited usage (PT)
  • Access to offices in Porto, Aveiro, and Coimbra (Remote is also an option)
  • Snacks available at offices
  • Partnerships with local businesses

Culture:

  • Work with great people in a politics-free environment.
  • Lean and self-organization attitude.
  • Encouragement to take risks, make decisions, and collaborate.
  • Open communication is highly valued.
  • Freedom and Responsibility go hand in hand.
  • Commitment, feedback, and empathy are key values.

About Mindera

At Mindera, we leverage technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of our work. We partner with our clients to understand their products and deliver high-performance, resilient, and scalable software systems that create a significant impact on their users and businesses worldwide. Our culture is characterized by a lean and self-management attitude, encouraging colleagues to take risks, make decisions, collaborate effectively, and communicate openly. We are proud of our work and foster a continuous learning environment within an Agile and Lean framework.

Skills

Product Management
Data Analytics
Retail Industry
Product Backlog Management
Requirements Gathering
Data Integration
Supply Chain Operations
Cloud Platforms
APIs
Agile Methodologies
Stakeholder Management
Cross-functional Collaboration

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.
Licensing model could reduce control over technology application and revenue stability.
Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.
The company partners with industry leaders like Driscoll's for real-world technology applications.
Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.
Partnerships with companies like Driscoll's enhance technology application and sustainability goals.
Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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