Member of Technical Staff building internal data and agent infrastructure for Liquid AI. Design and build the unified company data graph and agent layer for operational efficiency.
Responsibilities
Build the unified company data graph by integrating systems across execution (GitHub, Linear), communication (Slack, email, Zoom, calendars), model performance (W&B, eval dashboards), and operations (Rippling, Vanta, Ramp, Runway)
Design and ship agents that surface performance signals, resource allocation suggestions, bottleneck detection, and opportunity visibility to leadership
Start with observability. The first milestone is a real-time map of work, ownership, and impact across the company
Progress from visibility to recommendations to partial automation, following the progressive autonomy principle: never automate a decision you do not yet understand
Own the entire stack: data pipelines, APIs, agent orchestration, evals, and the interfaces leadership uses to interact with the system
Requirements
5+ years of software engineering with significant experience building data pipelines, integrations, or internal platforms
Hands-on experience building with LLMs in production: agent systems, tool use, RAG, or similar
Strong Python. Comfortable with TypeScript for frontend/tooling as needed
Experience integrating SaaS APIs (Slack, GitHub, Google Workspace, HRIS systems, or similar)
Track record of shipping systems from zero to one with minimal guidance
Bonus: experience with data modeling, knowledge graphs, or organizational analytics
Benefits
Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year
Job title
Member of Technical Staff – Product Engineer, Internal Data & Agent Platform
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