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CrusoeCrusoeSan Francisco, CA

Workforce Intelligence Engineer

Build and own Crusoe's workforce intelligence technical stack, including data pipelines in BigQuery/dbt, AI agents for HR automation, and custom tooling. Requires HR domain knowledge, data engineering skills, software engineering experience, and enthusiasm for LLM-powered agent development.

Salary not listed
On-siteData Engineering

About the role

What You'll Be Working On

People Data Engineering

  • Contribute to and take growing ownership of our data engineering stack: dbt models in BigQuery, staging layers from sources like Rippling, Ashby, and Visier, and event-grain models that capture workforce changes with the fidelity HR analytics requires.
  • Work with the senior consultant to understand the existing architecture and take on increasing accountability for its quality, maintenance, and scalability over time.

AI Agent Development

  • Design and deploy agentic systems that automate high-friction HR workflows and surface actionable workforce intelligence — from intelligent classification and matching to multi-step agents that interact with HR platforms.
  • Use AI-assisted development tools (Cursor, Claude Code, or equivalent) to move fast, prototype in the open, and scale your output beyond what traditional solo engineering allows.

Partnership with IT

  • Serve as the technical liaison between People Science and Crusoe's central IT organization for work that extends beyond our data stack.
  • Triage the technical backlog, determine what gets built in-house versus scoped through IT versus solved with a vendor, and drive delivery once the call is made.
  • Partner with IT to productionize solutions — hosting, infrastructure, security, and long-term maintenance.

Custom Internal Tooling

  • Scope and build purpose-built solutions where commercial HR products fall short — from rapid prototypes that validate a direction quickly to production-quality tools that replace vendor contracts.

Workforce Intelligence and Executive Storytelling

  • Build the pipelines and data products that surface workforce intelligence to leadership — headcount, attrition, performance distributions, compensation equity signals, org health metrics.
  • Translate complex, multi-source analyses into clear narratives that drive decisions at the executive level.

What You'll Bring to the Team

  • Foundational HR domain expertise: Experience with HR systems (HRIS, ATS, compensation or performance platforms). Understand how HR processes translate into data, org structure modeling, effective dates, and why HR data requires different handling.
  • Data engineering fundamentals: Hands-on experience with production SQL, dbt or similar transformation framework, data modeling (grain, lineage, schema design).
  • Working software engineering ability: Experience writing production code — pipelines, API integrations, scheduled jobs, or lightweight applications. Solid coding foundation and comfort learning new patterns and languages.
  • Exposure to AI/agent development: Experimented with or built LLM-powered tools. Understanding of RAG, tool-calling, or multi-step agent frameworks is a strong plus.
  • AI-assisted development as a working style: Use tools like Cursor, Claude Code to build functional prototypes rapidly and iterate quickly.
  • Data storytelling and communication: Ability to translate technical analysis for non-technical stakeholders and leadership.
  • Curiosity, coachability, self-directed execution: Take ownership, seek feedback, navigate ambiguity.

Skills

SQLdbtBigQueryPythonLLMsRAGHRISATSRipplingAshbyvisierAPI IntegrationsData ModelingAI Agents

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