CloudZero offers a cloud cost intelligence platform that enables organizations to analyze and manage their cloud expenditures. Backed by Underscore VC.
About the role
CloudZero is making a foundational hire in the Office of the CTO: the person who builds the data and AI platform the rest of the company operates on.
What they're looking for
- 7+ years at the intersection of data engineering and infrastructure. You've built pipelines and the platforms they run on, and been on call for both
- Working Snowflake experience, or a comparable warehouse you've built pipelines into and governed. Familiarity with its RBAC, policy, and cost model, or a clear track record of picking that up on a new platform
- Comfortable with orchestration (Airflow, Dagster, Prefect, or equivalent) and opinions about idempotency, backfills, and late-arriving data. Transformation tooling like dbt is a plus, not a prerequisite
- Strong software engineering fundamentals. Python required, SQL assumed, Go or Bash a plus. IaC at scale (Pulumi, CDK, CloudFormation) where you set the standard rather than follow it
- Hands-on production AI and LLM experience with agents, RAG, tool-calling, and MCP or equivalent, plus a point of view on agent identity, tool governance, and what breaks once it's live
- Deep AWS (Bedrock, IAM, EventBridge, Lambda) with working knowledge of GCP and Azure. Strong API instincts: you've stitched SaaS systems together with REST, webhooks, and event hooks, and know where those integrations rot
More about this role
CloudZero is making a foundational hire in the Office of the CTO: the person who builds the data and AI platform the rest of the company operates on.
Almost everything a team needs, whether it is the pipeline number, the churn signal, or the answer an agent gives a CS rep at 4pm, depends on data that today lives across dozens of SaaS systems and is moved by hand. You'll build the layer that ends that: governed pipelines into Snowflake, a modeled surface analysts and agents can query without guessing at joins, and the environments where agents run with real identity and real cost attribution.
You'll also own the systems underneath it, including Okta, Jamf, Google Workspace, Slack, Jira, and Ravenna, because they're the identity and event substrate that the platform inherits. The Okta group that provisions a new hire's laptop is the same group that determines what an agent can access when that person invokes it. Whoever owns one should own both.
Hybrid out of our Boston office. Some flexibility outside East Coast hours helps, since our employees and customers are global.
Manual work shows up in two shapes here, and they're the same problem:
A ticket is a signal that a system failed...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs · Boston