Technical Product Manager – Data Platform

📋 Description

• Take ownership of the product strategy for the Data Platform, establishing the vision, principles, roadmap, and prioritization framework that align with business and engineering objectives.

• Collaborate closely with the Head of Data Platform and engineering teams to guarantee rapid, scalable, and consistent product delivery.

• Serve as the advocate for internal users by mapping comprehensive journeys—from discoverability and onboarding to adoption, operations, and scaling—while identifying friction points and areas for enhancement.

• Lead product discovery and execution in partnership with cross-functional stakeholders across Data Platform Engineering, Security, Governance, and Analytics.

• Define and track success metrics such as adoption, reliability, developer productivity, cost efficiency, time-to-first-value, and data quality to steer prioritization and decision-making.

• Work alongside engineering teams on technical trade-offs, sequencing, and solution design, helping to balance scalability, usability, and delivery speed.

• Promote a product-focused mindset across platform teams, emphasizing usability, self-service, scalability, reliability, and security-by-default principles.

• Enhance platform adoption and enablement through documentation, feedback mechanisms, onboarding experiences, and training initiatives.

• Contribute to the development of a modern, scalable data ecosystem utilizing Databricks, AWS, and Python-based solutions.

⛳️ Requirements

• Over 5 years of experience in Product Management or a comparable role.

• Significant exposure to internal platforms, developer tools, infrastructure, or data platforms.

• Demonstrated success in driving user adoption and achieving measurable product outcomes in intricate technical settings.

• Strong technical comprehension of modern data architectures, workflows, and platform ecosystems.

• Experience with contemporary cloud-native data stacks, especially AWS and Databricks (or similar lakehouse/data platform technologies).

• Capability to engage thoroughly with topics such as instrumentation, pipelines, monitoring, data quality, and downstream consumption, translating technical complexities into clear product requirements.

• Strong analytical and data-driven approach with experience in defining KPIs, measuring outcomes, and fostering continuous improvement.

• Experience functioning in cross-functional and ambiguous environments, influencing stakeholders without direct authority.

• Exceptional communication and stakeholder management abilities, with the skill to articulate technical concepts and trade-offs to both technical and non-technical audiences.

• Practical knowledge of: AWS services, IAM/security, networking principles, observability, cost optimization, Databricks and lakehouse architectures, Python, and modern data workflows.

🏝️ Benefits

• Work Your Way: Enjoy full flexibility—choose to work from home, the office, or a combination of both. Additionally, you can work from anywhere for up to 30 days each year.

• Access to learning resources.

• Mentorship opportunities.

• Personalized growth plan.

• Private healthcare coverage.

• Discounts on gym memberships.

• Wellbeing programs.

• Support for mental health.