GTM Engineer

Stuut•New York, NY

21h

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 This is an engineering role embedded in the Marketing team. The GTM Engineer designs and builds the systems — AI agents, automation workflows, enrichment pipelines, attribution infrastructure — that power how Stuut goes to market. You'll work alongside Demand Generation, GTM Infrastructure, and RevOps to translate campaign strategy into systems that run at scale. You won't wait for an ops team to build for you. You'll architect and ship the infrastructure yourself, with enough marketing fluency to know what's worth building and why. Engineering rigor is the primary requirement; commercial instinct is what makes you exceptional in the role. This is not an ops role that occasionally touches messaging, and it is not a marketing role with light technical exposure. It is a builder's seat inside Marketing, with full ownership of the technical layer that drives pipeline.

Requirements

Are a builder first. You write production-quality code, design systems other people depend on, and have shipped GTM or marketing infrastructure end-to-end — not just configured tools someone else set up.
Are fluent across the modern AI and GTM stack: Clay, n8n or Zapier, Smartlead, Instantly or Apollo, HubSpot or Salesforce, data warehouses, and analytics platforms. You've made real builds in these tools, not just demos.
Have 2–5 years of experience in GTM engineering, marketing engineering, growth engineering, or technical demand gen. B2B SaaS is a plus, not a requirement.
Have commercial instinct. You think in terms of pipeline generated and meetings booked, not workflows automated. You can read a sequence and tell us why it's underperforming.
Don't just execute the playbook — you question it, find the gaps, and build something better.
Think creatively about lead generation: you've used data in non-obvious ways, surfaced signals others missed, or built infrastructure that opened up channels your team wasn't running.
Are energized by ambiguity. You'd rather ship a working v1 and iterate than wait for a perfect spec.

Responsibilities

Design and build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launch, paid channel optimization, creative testing, and more.
Architect enrichment, scoring, and routing pipelines that turn raw signals into prioritized accounts and contacts with full context for the GTM team.
Build scripts, automations, and integrations across Clay, HubSpot, Smartlead, n8n, and the broader stack — partnering with GTM to extend the core infrastructure on the marketing side.
Instrument campaign attribution and reporting end-to-end. Every touch traceable, every dollar accountable.
Maintain HubSpot as the source of truth for marketing activity: clean data, meaningful properties, functional workflows.
Partner with demand generation programs across outbound, paid, and content channels — owning the technical execution and contributing to strategy.
Translate buyer insight into the messaging, sequencing, and personalization logic that drives reply and meeting conversion.
Define success metrics before launch, monitor results across channels, and iterate continuously.
Partner with GTM on shared infrastructure decisions and ensure the marketing layer integrates cleanly with core outbound systems.
Partner with RevOps so campaign data flows correctly into pipeline reporting and lifecycle management.
Document the stack so it is maintainable, scalable, and not a single point of failure.