To help fuel that growth, we need a Technical Product Manager to own our data platform as an internal product - the experience and capabilities that help data engineers, analytics engineers, data analysts and data scientists work with and deliver trusted data faster, safer and more cost-effectively.
This role sits at the intersection of product, platform engineering, and data: you’ll own the platform vision and roadmap, drive adoption through excellent internal user experience, and partner closely with engineering to deliver improvements across the data lifecycle on our stack (Databricks, AWS, Python).
Own the product strategy for the Data Platform, defining the vision, principles, roadmap, and prioritization framework aligned with business and engineering goals
Partner closely with the Head of Data Platform and engineering teams to ensure fast, scalable, and consistent product delivery
Act as the voice of internal users by mapping end-to-end journeys - from discoverability and onboarding to adoption, operations, and scaling - identifying friction points and opportunities for improvement
Drive product discovery and execution in collaboration with cross-functional stakeholders across Data Platform Engineering, Security, Governance and Analytics
Define and monitor success metrics such as adoption, reliability, developer productivity, cost efficiency, time-to-first-value, and data quality to guide prioritization and decision-making
Collaborate with engineering teams on technical trade-offs, sequencing, and solution design, helping balance scalability, usability and speed of delivery
Champion a product mindset across platform teams, promoting usability, self-service, scalability, reliability, and security-by-default principles
Improve platform adoption and enablement through documentation, feedback loops, onboarding experiences, and training initiatives
Contribute to building a modern, scalable data ecosystem leveraging Databricks, AWS and Python-based solutions
5+ years of experience in Product Management or a similar role, with strong exposure to internal platforms, developer tools, infrastructure, or data platforms
Proven track record of driving user adoption and delivering measurable product outcomes in complex technical environments
Strong technical understanding of modern data architectures, workflows, and platform ecosystems
Experience working with modern cloud-native data stacks, particularly AWS and Databricks (or equivalent lakehouse/data platform technologies)
Ability to engage deeply with topics such as instrumentation, pipelines, monitoring, data quality, and downstream consumption, translating technical complexity into clear product requirements
Strong analytical and data-driven mindset with experience defining KPIs, measuring outcomes, and driving continuous improvement
Experience operating in cross-functional and ambiguous environments, influencing stakeholders without direct authority.
Excellent communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to both technical and non-technical audiences
Practical familiarity with: AWS services, IAM/security, networking concepts, observability, and cost optimization, databricks and lakehouse architectures, Python and modern data workflow
Previous hands-on experience as a Data Engineer, Analytics Engineer or Software Engineer
Familiarity with platform engineering concepts such as golden paths, Internal Developer Platforms (IDP), DevEx metrics, and self-service enablement
Experience with data governance, access management, observability and data quality frameworks
Exposure to medallion architectures, Delta Lake patterns, and enterprise-scale data product environments
Experience building enablement programs including documentation, onboarding flows, and training for internal technical users
Why you’ll love it here:
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
🤸Work Your Way: Enjoy full flexibility - work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.