Technical Product Manager – Data Platform

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of the product strategy for the Data Platform by defining the vision, principles, roadmap, and prioritization framework that aligns with both business and engineering objectives.

• Collaborate closely with the Head of Data Platform and engineering teams to ensure the efficient, scalable, and consistent delivery of products.

• 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 opportunities for enhancement.

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

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

• Work alongside engineering teams on technical trade-offs, sequencing, and solution design, ensuring a balance between scalability, usability, and speed of delivery.

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

• Enhance platform adoption and enablement through documentation, feedback loops, onboarding experiences, and training programs.

• 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 related role, with significant exposure to internal platforms, developer tools, infrastructure, or data platforms.

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

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

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

• Ability 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 mindset, with a background in defining KPIs, measuring outcomes, and fostering continuous improvement.

• Experience operating in cross-functional and ambiguous environments, with the capacity to influence stakeholders without direct authority.

• Excellent communication and stakeholder management skills, capable of conveying technical concepts and trade-offs to both technical and non-technical audiences.

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

🏝️ Benefits

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

• Grow with us: Gain access to learning resources, mentorship, and a personalized growth plan tailored to your needs.

• Thrive and perform: Benefit from private healthcare, gym discounts, wellbeing programs, and mental health support.