EU remote
Data Platform Manager
About this role
LocalStack - the Local Cloud Sandbox for Developers and AI Agents We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital, CRV and Heavybit. LocalStack is a local cloud development platform. LocalStack makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud.
The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud. Our customer base ranges from SMBs to Global Fortune 500 companies. Our clients include companies like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block and many more.
We are sustainably growing our globally distributed teams across GTM, operations and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026. LocalStack is headquartered in Zurich/Switzerland 🇨🇭, with a small engineering office in Vienna/Austria 🇦🇹 and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK, 🇨🇦CA, 🇪🇸ES, and many more! 👉Check our Notion Candidate Handbook and our GitHub! ✅ What you will be working on/responsible for Build and evolve a self-service data platform that enables Product, Engineering, and GTM teams Define and maintain data quality standards, SLAs/SLOs, monitoring, and incident-response processes.
Own GTM-facing data support, manage data access appropriately, and identify and address potential PII exposure. Establish canonical data models, consistent metric definitions, and modelling standards across priority domains. Establish effective planning, delivery processes, documentation, and ways of working, including the use of AI tools. Own quarterly data OKRs and prioritise a balanced roadmap covering business needs and measure success through business impact, and improved efficiency.