Go-to-Market (GTM) Engineer: Fyxer AI

This is a hands-on technical role focused on building intelligent systems for go-to-market (GTM) teams. The company is building for the "agentic era of AI," where software acts with autonomy to elevate teams. As a GTM Engineer, you'll work at the intersection of automation, RevOps, and customer engagement, deploying automation and surfacing insights across the revenue engine. The goal is to build GTM systems that can act autonomously rather than just track data.

Key Responsibilities
Build AI-Enhanced Workflows to Drive Revenue:

Automate lead qualification, CRM enrichment, and meeting preparation.

Implement triggers and alerts based on usage, feedback, and sales engagement to capture buying and retention signals.

Ensure GTM teams focus on high-value conversations by automating manual tasks.

Own & Orchestrate the GTM Tech Stack:

Manage and extend integrations across tools like HubSpot, Zoominfo, Intercom, Stripe, and Customer.io.

Use APIs, webhooks, and no-code tools to build scalable, event-driven automations.

Maintain clean, reliable, and insight-rich systems throughout the sales funnel.

Contribute to Strategic GTM Infrastructure:

Identify and automate recurring bottlenecks.

Operationalize AI insights to align Sales, Success, and Marketing.

Lay the groundwork for future GTM automation and self-serve experimentation.

Requirements
Technical Skills:

Experience implementing a CRM from scratch, ideally HubSpot.

Experience with data warehouses like BigQuery and reverse ETL tools like Census.

Comfortable using SQL and some data modeling experience.

Some knowledge of a programming language such as Python or JavaScript.

Knowledge of low/no-code platforms like Zapier and Retool.

Soft Skills:

Technical with strong GTM intuition: You've built systems for sales or CS teams and understand high-level GTM operations.

RevOps-savvy: You've used HubSpot as a workflow engine and insight hub, not just a CRM.

Hands-on builder: You enjoy prototyping, shipping, and iterating quickly.

Signal-obsessed: You think deeply about how to identify and act on behavioral signals to drive revenue or retention.

Startup-ready: You are scrappy, adaptable, and comfortable with ambiguity.

Application Process
Submit your CV (no cover letter required).

Initial call with the Fyxer AI team (20-30 minutes).

First interview (30 minutes).

Product case study (45 minutes, remote).

Case Study or Coding Challenge (60 minutes, remote).

Meet the team in the office (60 minutes).