Company Overview

A fast-growing AI-native startup is building a collective intelligence platform that transforms messy, real-world data into structured context AI agents can learn from and act on autonomously. The mission: replace sales metawork with actions that compound revenue per rep — less dashboard digging, more time moving pipeline.

This is an opportunity to help define what AI-native software looks like: how data becomes context, how agents plan and act, and how chat turns into measurable outcomes. The team ships in tight loops, learns in public, and measures success by customer impact.

What Makes It an Awesome Place to Work

• Outcome-first culture — adoption, pipeline quality, and time-to-value define success
• Fast iteration — ship small, instrument early, and learn fast
• High trust & ownership — engineers own problems end-to-end and make product-level decisions
• Hybrid flexibility — 3 days in-office, 2 days remote (SF, NYC, or Vancouver)
• Meaningful equity in a fast-growing company
• Health, dental, and vision coverage included

Scope of Role and Experience

As a Founding Backend Engineer, you will:

• Create the collective memory — ingest and unify CRM + other data into a semi-structured context graph that captures what drives winning deals
• Orchestrate agentic systems — design planner/executor patterns, MCP-style interfaces, and lightweight evaluation harnesses to turn context into autonomous actions
• Deliver where users work — surface capabilities through apps, chat, and integrations in tight GTM loops, reducing context switching and metawork
• Prove outcomes — define and track success metrics (tasks auto-completed, adoption, retention, pipeline lift, latency) while wiring observability for iteration
• Balance cost & reliability — optimize accuracy, latency, and cost for agent runs; design safeguards for dependable performance under real-world load

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