GTM Engineer
GTM Engineer — StackAI
StackAI is building the future of enterprise AI. We’re looking for a hands-on GTM Engineer to own the technical backbone of outbound: email infrastructure, signal-based prospecting, and scalable campaign execution.
What you’ll do
Set up and maintain outbound email infrastructure (domains, inboxes, DNS/SPF/DKIM/DMARC, warming, deliverability monitoring).
Build scalable outbound systems: segmentation, routing, enrichment, and campaign automation.
Run signal-based outreach using tools like Clay (e.g., intent, hiring, tech stack, funding, job posts, website changes).
Partner with Sales/Marketing to launch, test, and iterate outbound plays (A/B tests, personalization at scale, messaging ops).
Track performance and improve funnel metrics (deliverability, reply rates, meetings booked) with clean reporting.
What we’re looking for
Proven experience in outbound operations and campaign execution (B2B SaaS preferred).
Strong deliverability + email infrastructure skills (multiple domains/inboxes, reputation management).
Experience with signal/enrichment tooling and modern outbound stacks.
Comfortable working with data (spreadsheets/CRM hygiene); basic scripting/API skills are a plus.
Personality / Ways of Working (important)
Self-starter who can take a goal (e.g., “stand up a reliable outbound engine”) and run end-to-end with minimal oversight.
Tooling-first problem solver: you enjoy researching the landscape, evaluating vendors/workflows, making a clear recommendation, and then implementing it.
Systems builder: you can stitch tools together, document the setup, and leave behind something the team can reliably operate and scale.
High ownership + bias to action: you move fast, troubleshoot well, and iterate based on results.
Nice to have
Experience with tools like Apollo, Clay, ZoomInfo, Clearbit, Smartlead/Instantly, Outreach/Salesloft, HubSpot/Salesforce.
Familiarity with webhooks, automation (Zapier/Make) and lightweight ETL workflows.
About StackAI
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.