Member of the Technical Staff — Internal AI Tooling

Stuut•San Francisco, CA

24d

About The Position

Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Member of Technical Staff — Internal AI Tooling to build the systems that power how Stuut operates and scales. This role focuses on designing and implementing the internal infrastructure, automation, and AI-driven workflows that increase leverage across the company—starting with marketing and expanding across sales, operations, and product. This is a high-impact builder role for someone who enjoys identifying manual or fragmented processes and replacing them with systems that scale. You will work closely with leadership and cross-functional teams to design AI agents, automation pipelines, and internal tools that streamline operations and unlock new capabilities. We're becoming an agent-first company — not just in our product, but in how we operate. This role is at the center of that shift.

Requirements

Have 5+ years of full-stack engineering experience building and shipping scalable systems or products.
Are highly skilled in Python and TypeScript, with experience building backend services and modern web applications.
Have experience designing data pipelines, APIs, and system architectures that support complex workflows.
Are proficient with modern frameworks such as React, Vue, or Angular on the frontend and Django, FastAPI, Flask, or Node.js on the backend.
Have experience working with cloud platforms (AWS, GCP, or Azure) and modern deployment infrastructure including containerization and CI/CD.
Enjoy working in early-stage startup environments where problems are ambiguous and systems are built from scratch.
Are comfortable collaborating across teams and translating operational needs into technical solutions.
Take ownership of outcomes and measure your work through real operational impact.

Nice To Haves

Experience building AI agents or automation systems using LLM APIs or agent frameworks such as LangChain, LangGraph, or CrewAI.
Familiarity with tools in Stuut’s ecosystem such as HubSpot, n8n, Fathom, Linear, Clay, or the Slack API.
Experience building internal infrastructure or automation systems at a high-growth B2B SaaS or fintech company.

Responsibilities

Build Internal AI and Automation Infrastructure
Design and build AI-powered agents and automation workflows that eliminate repetitive internal tasks across teams.
Develop internal tools and systems that improve operational efficiency and reduce manual processes.
Architect automation pipelines using LLM APIs and orchestration tools that integrate with our core stack, including HubSpot, Slack, Fathom, and Linear.
Implement evaluation frameworks, logging, and feedback loops to continuously improve AI-driven workflows.
Build Marketing and Demand Generation Systems
Build and maintain data pipelines that support go-to-market systems such as CRM enrichment, ICP scoring, contact discovery, and automated lead routing.
Develop automated outbound and demand generation systems, including AI-personalized outreach, signal-triggered workflows, and visitor identification infrastructure.
Create programmatic account-based marketing workflows including audience segmentation, personalization systems, and ad platform integrations.
Partner with marketing leadership to prototype and scale campaign experiments with clear measurement and iteration.
Build Systems That Scale Across the Company
Identify operational bottlenecks across teams and replace manual workflows with automated systems.
Develop internal tools that improve data access, reporting, and operational decision-making.
Treat internal tooling like a product—defining requirements, measuring adoption, and iterating based on usage and impact.
Partner with Engineering, Marketing, and Operations to ensure systems integrate cleanly into company workflows.