Company Overview

A fast-growing AI-native startup is reimagining how revenue teams work. Their platform builds a collective intelligence layer that transforms messy, real-world data into structured context, enabling AI agents to act autonomously. The mission: replace sales busywork with compounding revenue actions — less dashboard digging, more pipeline movement.

With a small, senior team, every hire has big surface area and ownership. The company is backed by strong funding and is scaling quickly in both San Francisco and New York, with additional presence in Vancouver.

What Makes It an Awesome Place to Work

• Outcome-first culture — customer adoption, pipeline quality, and time-to-value define success
• Fast shipping & iteration — ship small, instrument, and learn in tight loops
• High trust, high ownership — engineers own problems end-to-end and make product-level decisions
• Hybrid flexibility — 3 days in-office, 2 days remote in SF, NYC, or Vancouver
• Meaningful equity ownership alongside strong base salary
• Health, dental, and vision coverage included

Scope of Role and Experience

As a Staff Engineer, you will:

• Build the context + orchestration layer for AI-first revenue software
• Ingest and unify data from CRMs and other sources into a context graph that captures winning deal patterns
• Design agent orchestration systems (planner/executor patterns, MCP-style interfaces, eval harnesses) to transform context into autonomous actions
• Expose capabilities through native product surfaces (apps, chat, and integrations) in tight loops with GTM
• Define and measure outcomes with product and customers (e.g., tasks auto-completed, adoption, pipeline lift)
• Balance accuracy, latency, cost, and reliability of agent runs under real-world load