Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job Description
Project – the aim you’ll have
The Product Manager – Data Platform & AI Readiness is responsible for defining, owning, and evolving the company’s data platform as a strategic product. This role ensures the data foundation is scalable, trusted, secure, and commercially fit for purpose, while preparing the organization for advanced analytics, AI, and machine learning use cases.
The role bridges business, technology, and commercial teams to ensure data capabilities are deliberately built to enable monetisable data products, accelerate time to market, and support decision grade intelligence in regulated, trust critical environments.
Position – how you’ll contribute
- Define and own the data platform product vision, long-term roadmap, and prioritised backlog aligned to the Data Products Strategy
- Position the platform as a reusable, scalable internal product that directly enables customer-facing and revenue-generating use cases
- Translate strategic objectives into clear product increments, epics, and success metrics, balancing speed, quality, cost, and scalability
- Partner with Data Engineering, ML, and Architecture teams to plan and sequence delivery in an agile environment
- Define platform requirements to support machine learning, MLOps, feature stores, model deployment, and monitoring
- Ensure availability of high-quality, well-governed, feature-ready datasets for Data Science and ML teams
- Embed data quality, lineage, observability, privacy, and regulatory requirements into platform design and governance standards
- Act as the primary interface between technology teams and non-technical stakeholders, communicating platform capabilities in clear, outcome-focused language
Expectations – the experience you need
- 7+ years of experience in product management roles, with significant exposure to data platforms, analytics, or AI enabled products
- Strong understanding of modern data architectures, cloud platforms, and data lifecycle management
- Experience working closely with Data Engineering, ML, and Architecture teams
- Commercial mindset with the ability to link platform capabilities to customer and revenue outcomes
- Excellent stakeholder management, communication, and prioritisation skills
- Experience operating in regulated or trust critical industries is highly desirable
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
Our offer – professional development, personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
