Product Manager (m/f/d)

Team

We are seeking a versatile and skilled Product Manager for our Data Platform team, responsible for overseeing the development, maintenance, and optimization of our data infrastructure ensuring robustness, scalability, and security across our platform. The ideal candidate will possess a strong background in product management coupled with hands-on experience in data engineering practices.

Reporting to the Head of Product for Data, This role is a unique hybrid opportunity, combining the responsibilities of a Product Manager with hands-on Data Engineering duties. Approximately 40% of the time will be dedicated to actively contributing as a Data Engineer, ensuring direct involvement in the technical aspects of our data infrastructure's development, while the remaining focus will encompass strategic product management responsibilities.

Your Responsibilities

Product at Raisin requires a broad set of soft and hard skills. While every day is different we see the following as a useful guide as to what to expect:

• You will be the go-to expert for your product and know how company-level business results are influenced by your product.
• You will lead the iterative refinement of major customer- or business- product problems in your product. You express clearly their value and success criteria, and you call out risks, dependencies and assumptions to qualify. You exhibit accountability for outcomes, not just output.
• You will define and execute the product roadmap for the Data Platform, encompassing technologies such as Snowflake, Looker, and Managed Workflows for Apache Airflow (MWAA). You will help to illuminate the (collective best guesses for) the most valuable and feasible path for the next 12 months. You get buy-in and inspire your colleagues to help realise it.
• You will author and make transparent quarterly OKRs and plans with your Engineering lead which have clear value and connection to strategy, ambition and realism, and seek buy-in from your team and stakeholders.
• You will work excellently with your engineering colleagues. You have a grasp of the best practices of these disciplines, and our implementations-that you can usually sketch coherent high-level solutions to product problems in various relevant software design artefacts which fundamentally stand up to critiques of your counterparts.
• You will drive the design and implementation of features and enhancements within the data infrastructure, focusing on improving performance, reliability, and user experience.
• You will foster a team culture in which feedback is given and received willingly and continually incl. public praise and private, considerate learning opportunities. For you, failure is a shared outcome.
• You will establish and maintain high-functioning communication channels between your team and all your stakeholder groups to maximise their and your effectiveness. You understand their goals, jobs and pains. You bring in the right people, at the right time, in the right way to topics, and convey complex topics, simply and effectively.
• You will oversee data governance, security, and compliance initiatives, ensuring adherence to regulatory standards and best practices.
• You will implement additional features on Data Platform using Airflow, Snowflake & AWS
• You will execute proof of concepts for testing and evaluating new tools & technologies relevant to data tech stack and propose adoption wherever necessary

Your Profile

Must haves:

• 2+ years of Product Management experience within data-related domains.
• Experience leading a cross-functional team of engineers

Nice to haves:

• Hands-on expertise in data engineering tools and technologies such as SQL, Apache Airflow, ETL processes, etc.
• Strong understanding of data infrastructure components like Snowflake, Looker, and their integration in complex systems.
• Excellent communication and interpersonal skills, ability to collaborate effectively with diverse teams.
• A proactive problem-solving approach

Important attributes for this role:

• Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related fields.
• Experience with cloud-based data solutions (AWS, Azure, GCP).
• Familiarity with agile methodologies and project management tools.