
51 - 200 employees
☁️ SaaS
🤝 B2B
🔌 API
💰 $25M Series A - LocalStack on 2024-11
SaaS • B2B • API
LocalStack is a local cloud development platform that simulates cloud environments on a customer's own infrastructure so software teams and AI agents can develop, test, debug, and validate cloud applications without provisioning real cloud resources. It runs as lightweight containerized emulators that expose the same APIs, SDKs, and Infrastructure-as-Code interfaces (CDK, Terraform, Pulumi) used in production, with support for 120+ AWS services and emulators for Snowflake (and Azure coming soon). LocalStack is designed to speed feedback loops, reduce cloud costs, surface security risks and bugs earlier, and enable AI-native development workflows. It is used by thousands of organizations and has scaled to hundreds of millions of Docker pulls.
🕒 September 1
🌐 Spain, Poland, +2 more countries – Remote
💵 €50k - €78k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 Artificial Intelligence
👻 Ghost score 0%
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51 - 200 employees
☁️ SaaS
🤝 B2B
🔌 API
💰 $25M Series A - LocalStack on 2024-11
SaaS • B2B • API
LocalStack is a local cloud development platform that simulates cloud environments on a customer's own infrastructure so software teams and AI agents can develop, test, debug, and validate cloud applications without provisioning real cloud resources. It runs as lightweight containerized emulators that expose the same APIs, SDKs, and Infrastructure-as-Code interfaces (CDK, Terraform, Pulumi) used in production, with support for 120+ AWS services and emulators for Snowflake (and Azure coming soon). LocalStack is designed to speed feedback loops, reduce cloud costs, surface security risks and bugs earlier, and enable AI-native development workflows. It is used by thousands of organizations and has scaled to hundreds of millions of Docker pulls.
• Embed across Engineering, GTM, People, Support, Finance, and Operations to identify where AI can reduce operational friction • Capture opportunities for reliable automation of manual workflows • Build internal tools and agents end-to-end, connecting the current technology stack to daily employee workflows • Drive adoption through workshops, pairing, and office hours • Measure success through active usage and time saved rather than features shipped • Partner with Security to establish guardrails, access scoping, and audit trails protecting employee and customer data • Develop and use a framework to track AI solution value through key metrics, targets, and actuals
• 7+ years of total experience as a software engineer plus MBB or Big4 consulting/product management or business operations experience in a B2B SaaS startup/scale-up • Strong experience working with cross-functional stakeholders and driving value for them, including documented adoption wins • Strong experience using Codex, Claude Code, or similar to ship working solutions • Broad understanding of AI technology, including LLM versus ML and relevant patterns and approaches • Experience with Python/TypeScript, MCP/agent-tooling patterns, evaluations and reliability, and cost/token awareness • Familiarity with Git version control and GitHub, GitLab, or similar tools • Strong process design instincts, including mapping workflows, identifying failure points, and building scalable solutions • Good strategic/commercial awareness and ability to articulate deliverables' connection to business goals and metrics • Ability to provide a short motivation outlining suitability for the role • Required location/application information includes visa sponsorship status and location
• Competitive salary • Offers equity • Offers bonus • Fully remote • Annual company retreat • 2 extra company-wide holidays • Friendly and inclusive workplace culture • Community guilds and online company events
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