Senior Engineering Manager, Data & Cloud Platform
New
United StatesFull-TimeManager
Salary$190,000 – $210,000 USD
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Job Details
- Experience
- 8+ years
- Required Skills
- ETLDistributed Systems
Requirements
- 8+ years of software engineering experience, including leadership roles as a manager or technical lead.
- Strong background in cloud infrastructure, distributed systems, or internal platform engineering.
- Proven experience building and operating shared data systems (ETL/ELT pipelines, data platforms, warehouses, or lakehouse architectures).
- Experience designing platform APIs or integration layers that unify fragmented systems and improve developer experience.
- Hands-on exposure to production AI systems where data architecture impacts performance, reliability, or cost.
- Experience working with agent memory, retrieval systems, semantic search, or LLM-optimized data architectures is highly valued.
- Strong systems thinking with a bias toward hands-on execution and scalable platform design.
- Ability to operate effectively in ambiguous, evolving technical environments.
- Excellent communication skills and experience collaborating across engineering, product, and governance stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Responsibilities
- Own and evolve the cloud and data foundation supporting AI platform teams, including shared runtime infrastructure, CI/CD systems, and platform services.
- Design and implement a unified data access layer that enables consistent interaction with fragmented product data across the organization.
- Define architecture for shared AI data systems, including agent memory, context storage, and cross-product data services.
- Build and operate scalable data pipelines and transformation systems (ETL/ELT, lakehouse, and analytics workflows) supporting AI and platform workloads.
- Establish platform engineering standards, reusable services, and reference architectures to reduce fragmentation across teams.
- Partner with AI Quality, Security, and Governance teams to ensure privacy-aware, compliant, and safe data handling practices.
- Lead, mentor, and grow a small but expanding engineering team, balancing hands-on coding with technical leadership.
- Drive long-term technical strategy across cloud, data infrastructure, scalability, cost efficiency, and system reliability.
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