Engineering Manager, Data Infrastructure

Anthropic·San Francisco, CA | New York City, NYsenior

In short

→Liderar y escalar el equipo de infraestructura de datos en una empresa de IA en crecimiento rápido.
→Dirigir sistemas de almacenamiento y procesamiento de datos en tiempo real a gran escala, con impacto en toda la organización.
→Destacar por decisiones técnicas estratégicas y liderazgo centrado en personas, con énfasis en confiabilidad y escalabilidad.

You may be a good fit if you...

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What they ask for

✓3+ años de experiencia en gestión de ingeniería, especializados en infraestructura de datos.
✓liderazgo centrado en personas con capacidad para desarrollar equipos y dar retroalimentación directa.
✓experiencia profunda en infraestructura de datos batch y streaming, incluyendo orquestación y procesamiento en tiempo real.
✓capacidad para tomar decisiones técnicas estratégicas con visión a largo plazo.
✓habilidades comprobadas para colaborar con equipos de finanzas, producto, investigación y engineering.
✓experiencia en contratación de ingenieros de niveles senior en entornos de alto crecimiento.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Data warehousingStreamingEvent streamingChange data captureOrchestrationComputeQueryReportingKafkaDistributed log systems

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities • Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed • Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision • Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth • Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design • Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden • Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly support business-critical decisions and company growth • Drive hiring for the team — sourcing, evaluating, and closing senior data infrastructure engineers who thrive in high-growth, high-trust environments • Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment • Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs • Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack You may be a good fit if you • Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams • Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right • Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems su

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