Forward Deployed Engineering Manager, Data Cloud, Google Cloud
Google · Posted Nov 8
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google Cloud’s Data Cloud team builds the data platform behind Google’s agentic AI offerings, including BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog, integrated with Gemini Enterprise. The role sits in Google Cloud’s Go-To-Market organization, taking customer data and machine learning workloads from prototype to production. As a Forward Deployed Engineering Manager, you will lead an FDE team, set technical and code standards, hire engineers, and partner with product and engineering to translate field insights into roadmaps.
What you will do
- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with business and tech leadership to define requirements for high-value opportunities, deploying specialized experts to key accounts.
- Lead technical hiring for Forward Deployed Engineer (FDE), evaluating data engineering expertise, systems engineering, and coding skills to build an exceptional engineering team.
- Identify skill gaps in emerging tech (e.g., Model Context Protocol (MCP), tool-calling, and foundation models, building agents), ensuring the team maintains subject matter expertise in an evolving data stack.
- Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing, technical business engineering, or software engineering with cloud-native architectures.
- 2 years of experience managing a software engineering, FDE, or a related technical customer-facing team in a cloud computing environment.
- Experience reviewing designs and code in Python, PySpark and SQL.
- Experience designing platforms built on Data Cloud services (e.g. BigQuery, Managed Spark/Lightning Engine, Apache Iceberg (e.g., Borderless Lakehouse), Spanner, AlloyDB, Pub/Sub, Dataflow, Kafka).
- Experience building agentic AI systems on enterprise data (e.g., agents, retrieval, vector search, evaluation).
Preferred qualifications
- Experience leading forward deployed engineering, field engineering or professional services organizations at a data platform or AI-first company or a hyperscaler’s data and machine learning services team.
- Experience engaging credibly with multi-level executives and with engineers.
- Experience across a broad range of data cloud specializations, including data engineering, data science/machine learning, application development, operations, and investigative databases/data management.
- Experience building end-to-end data pipelines, engineering features, and training/deploying machine learning models.
- Experience with RAG architectures, chunking/indexing strategies, vector databases, hybrid search, and the use of data governance for grounding agents in enterprise context.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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