Go-to-Market (GTM) Engineer

• Revenue signals are automated and actionable: You've instrumented systems that detect leads (e.g. intent data, usage thresholds) and renewal or churn risks (e.g. support interactions, usage drop-offs), and routed them to the right teams at the right time.
• RevOps infrastructure runs smoothly: You've owned and optimized HubSpot and its integrations with Zoominfo, Intercom, Stripe, and Customer.io to reduce manual work, ensure clean data and insight-driven GTM execution.
• Sales cycles speed up: From qualification to CRM hygiene to meeting prep, reps are spending less time on admin and more time closing.
• Expansion is proactive: You've built systems that surface upsell opportunities based on real customer behavior, feeding Customer Success with the context they need to act early and effectively.
• Handoffs are seamless: Every stage transition - SDR to AE to CSM - comes with AI-generated summaries and next-step guidance, so no context is lost and every customer feels known.

• Automate lead qualification, CRM enrichment, and meeting prep
• 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, not manual tasks

• Own & Orchestrate the GTM Tech Stack

• Manage and extend integrations across HubSpot, Zoominfo, Intercom, Stripe, and Customer.io
• Use APIs, webhooks, and no-code tools to build scalable, event-driven automations
• Keep systems clean, reliable, and insight-rich across the funnel

• Contribute to Strategic GTM Infrastructure

• Identify recurring bottlenecks and automate them out of existence
• Operationalize AI insights to align Sales, Success, and Marketing around shared signals
• Lay the groundwork for future GTM automation, including self-serve experimentation

• Technical with strong GTM intuition: You've built systems for sales or CS teams and understand how GTM teams operate at a high level.
• RevOps-savvy: You've used tools like HubSpot not just as a CRM, but as a workflow engine and insight hub.
• Hands-on builder: You like prototyping, shipping, and iterating fast using code, APIs, and no-code tools alike.
• Signal-obsessed: You think deeply about how to identify and act on behavioral signals that drive revenue or retention.
• Startup-ready: You're scrappy, adaptable, and ready to build from 0 to 1 in an ambiguous, fast-changing environment.

• CRM Experience in 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.

• Salary starting at £75,000 per annum + equity + other benefits
• Location: London (Holborn/Chancery Lane)
• 4 days in office

• Submit your CV (no need for a cover letter)
• An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (20-30mins)
• First interview (30min)
• Product case study, remote (45 minutes)
• Case Study or Coding Challenge, remote (60 minutes)
• Meet team in office (60 minutes)

Fyxer AI