OpenAIRemote · San Francisco$234k-$260k
$234k-$260knew
ZooxPosted 2w ago
L3
Lead Data Platform Engineer - Enterprise, Data & AI
Lead Data Platform Engineer - Enterprise, Data & AI at Zoox scores 70 out of 100 on AI centrality, which makes it a Level 3 role on this board.
Foster City, CAleadFull-time$230k-$277k
AI in this role
Architect and scale an enterprise data foundation and data fabric supporting downstream AI agents.
ci-cd
ai-agentsdata-engineeringdata-governancecost-optimizationsecurity
Zoox is seeking a high-agency, hands-on Lead Data Platform Engineer to architect, optimize, scale and own the next generation of our enterprise & AI data foundation. In this role, you will architect a high throughput, data fabric that unifies data across Zoox and downstream AI agents. You will drive performance tuning, cost optimization, RBAC, data governance and CI/CD pipelines to deliver secure, low-latency, 'AI-ready' data foundations across the organization.
You will serve as the primary technical driver for our data platform, designing autonomous frameworks, building scalable data infrastructure and establishing strict standards for security and developer velocity. This is an engineering-intensive leadership role for a builder who thrives on solving complex challenges.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
AI AgentsData EngineeringData GovernanceCost OptimizationSecurityCi Cd
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where cost optimization was part of your work. What did you do?
- Tell me about a project where security was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Data Engineering, Data Governance, Cost Optimization, and Security. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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