Infrastructure Engineer

Design and maintain scalable cloud infrastructure for CallMiner's AI conversation intelligence platform, focusing on automation, reliability, and large-scale data processing. Requires expertise in cloud infrastructure, automation tools, and distributed systems.

Senior infrastructure engineering role focused on the Railway platform. The role involves working on the core cloud computing stack that serves over 2,000,000 users.

Build resilient systems and automate across the stack to ensure the platform is available, performant, and reliable 24/7, moving between SRE, DevOps, Infrastructure, and Platform work as leverage shifts. Challenge the status quo and remove toil before adding features, automating operational tasks and infrastructure management with Python or Go, and treating manual on-call work as a defect to be designed out. Requires breadth across disciplines with deep focus on substantial initiatives like on-call posture, release pipeline, and multi-region Terraform layout.

This role focuses on designing, implementing, and maintaining cloud infrastructure to support Fandom's platform serving over 350 million monthly fans. Responsibilities include optimizing cloud resources for scalability and reliability, and collaborating with engineering teams to ensure robust infrastructure.

This Director of Analytics role leads the analytics function, setting the strategy for data-driven decision-making across the retail AI organization. The role involves building and managing a team of analysts, defining KPIs, and delivering insights to executive stakeholders. Key challenges include scaling analytics infrastructure and driving adoption of data products across the business.

This role involves owning product direction for the full data path at Focal Systems, from retailer data imports (planograms, inventory, store metadata) through pipelines to metrics and reports. The Senior Product Manager will run discovery with retailers, set priorities for data products, and ensure they drive actionable outcomes, working closely with data engineering, data science, and customer success teams. This requires 5+ years of product management experience with technical depth in APIs, data pipelines, and hands-on SQL comfort.

This Data/Reporting Team Lead role manages a team responsible for building and maintaining reporting pipelines and dashboards for retail AI operations. The role involves designing data models, ensuring data quality, and delivering actionable insights to internal and external stakeholders. Key challenges include optimizing reporting performance and automating data workflows.