Senior Engineering Manager, Data & Cloud Platform

New

This role can be performed 100% remote anywhere in the US.Full-TimeManager

Salary$190K – $210K Annually USD

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Job Details

Experience: 8+ years of software engineering experience including meaningful experience leading engineers as a manager or technical lead.
Required Skills: AWSPythonSnowflakeTypeScriptdbt

8+ years of software engineering experience.
Meaningful experience leading engineers as a manager or technical lead.
Strong background in cloud infrastructure, distributed systems, or internal platform engineering.
Hands-on experience with shared data systems, including ETL/ELT pipelines, data warehouses, or lakehouse environments.
Experience designing platform APIs or integration layers for consumption by other teams.
Demonstrated exposure to production AI systems, with an emphasis on quality, reliability, latency, and cost impact.
Experience with agent memory, retrieval systems, semantic search, or data architectures for LLM applications.
Comfort working in ambiguous, evolving architectural environments.
Strong bias toward hands-on execution and systems thinking.

Own the cloud and data foundation for the AI organization, including shared runtime infrastructure, CI/CD patterns, and platform services.
Design and build a unified data access layer to provide a coherent interface for agents and AI features.
Define and manage shared AI data architecture, including agent memory and context stores.
Build and operate data ingestion and transformation pipelines to support AI workloads and analytics.
Shape technical strategy for scale, operability, cost, and maintainability.
Partner with AI Quality & Governance to ensure privacy-sensitive, PII-aware, and secure data handling.
Provide platform patterns and reusable services to assist product teams in migrating to shared foundations.
Hire, mentor, and grow the engineering team.

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