Company Overview

A fast-growing AI-native startup is building a collective intelligence layer for revenue — transforming messy, real-world data into structured context that AI agents can learn from and act on autonomously. The mission: replace sales meta-work with actionable insights that drive higher revenue per rep — less time digging through dashboards, more time moving pipeline forward.

Backed by top investors and trusted by customers like BigID and Modern Health, the company is shaping the future of AI-powered revenue software. 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 learning cycles — ship small, instrument, iterate, and test quickly
• High trust & ownership — own problems end-to-end, 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 Full Stack Engineer, you will:

• Create the collective memory — ingest and unify CRM + multi-source data into a semi-structured context graph that models winning deal patterns with strong tenant isolation
• Orchestrate agentic systems — design planner/executor patterns, MCP-style interfaces, and simple evaluation harnesses that transform context into autonomous actions
• Deliver where users work — build native product surfaces (apps, chat, integrations) in close collaboration with product and GTM teams, reducing context switching and meta-work
• Prove outcomes — define and track metrics (tasks auto-completed, adoption, retention, pipeline lift, latency) while wiring observability for rapid iteration
• Balance cost & reliability — optimize accuracy, latency, and cost of agent runs; design fallbacks and safeguards for dependable, real-world performance

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