Lead GTM Engineer

At Fyxer AI, we're building something rare: an AI tool that people actually use-every day-to do their jobs better. Our product helps client-facing professionals like consultants, recruiters, and real estate agents automate the painful admin that eats up their day: email overload, scheduling chaos, meeting notes. Think of it as the AI Executive Assistant they've always needed-but never had. We integrate directly with Outlook, Gmail, and Zoom etc so it works with zero friction. That's why people love it.

The Traction Is Real:

We launched in May 2024. Within 9 months, we'd already hit $10M ARR. In February 2025, we raised $10M Series A, backed by top-tier investors like Marc Benioff (Salesforce) and 20VC. We've served thousands of paying users across the UK and US and now we're gearing up to scale to $50M in revenue and beyond.

What you'll be doing:

We're building for the agentic era of AI - where software doesn't just support teams, it acts with autonomy to elevate them. As our Lead GTM Engineer, you'll go beyond building tools - you'll architect smart systems that empower our Sales and CS teams.

This is a strategic, technical, and leadership role at the intersection of engineering, automation, and customer experience. You'll not only design automation and deploy AI agents across support, success, and sales - you'll lay the foundation for high performing GTM teams by automating the operational tasks, unlocking insights, and helping every human focus on what they are good at: building relationships, fixing complex problems and closing deals!

What Success Looks Like:

• Drive your vision with autonomy: bringing new ideas, strong perspectives, and a bias for action. Success means defining what great looks like alongside sales and CS leaders, testing bold ideas, and delivering measurable impact across the funnel
• Accelerate the sales team with AI: From automated lead scoring and routing to AI handling first calls, reps are freed to focus on closing. Research, follow-ups, and CRM tasks are offloaded - driving faster sales cycles
• Expansion becomes insight-driven: Existing customer signals (usage, feedback, support data) are captured and turned into action - surfacing expansion opportunities and driving proactive, personalized engagement.
• Handovers are frictionless: Every handoff - from SDR to AE to CSM - comes with AI-generated context and recommendations, so nothing gets lost and customers get a smoother, more consistent experience
• GTM systems scale with automations, not headcount: You've built infrastructure that augments every seller and CSM - enabling lean teams to operate like large ones.

Your Three Core Responsibilities:

1. Build & Deploy AI Systems That Drive Revenue

• Design workflows to support prospecting, deal progression, and account expansion
• Deploy AI agents for tasks like lead qualification, CRM enrichment, pipeline hygiene, and meeting prep
• Ensure reps are spending time on high value conversations - not repetitive coordination or admin tasks

2. Connect & Orchestrate the GTM Tech Stack for Scale

• Integrate platforms like HubSpot, Apollo, Customer.io, Stripe and Intercom into intelligent, end-to-end workflows
• Use APIs, event-driven logic or no-code tools to build reliable and reusable sales automations
• Operationalize AI-generated insights across teams (sales, CS, marketing, product) to accelerate acquisition and expansion motions

3. Lead a Strategic GTM Automation Function

• Continuously identify manual bottlenecks across the revenue funnel - and replace them with automations or agent-powered systems
• Build foundational infrastructure that surfaces expansion triggers, aligns GTM teams, and keeps systems up to date
• Grow and lead a small team of engineers or automation specialists as the scope of revenue-focused automation expands

What Our Ideal Candidate Looks Like

• A strategic builder and systems thinker: You think in systems and seek scalable solutions - not one-off hacks
• Hands-on with AI & automation: You've implemented intelligent workflows in customer or GTM environments before
• Fluent in modern GTM tools: You know your way around Intercom, Hubspot, Retool, Customer.io etc., and can make them sing together
• Startup-ready: Fast, adaptable, comfortable with ambiguity, and always experimenting
• A hands-on leader: You've managed engineers or cross-functional builders and enjoy leveling up others while shipping high-quality work yourself.
• Customer-obsessed: You understand that automation is in service of deeper relationships, not at their expense
  

Salary and other bits of info:

• This is a permanent role
• Salary £75-100K+ per annum + equity + other benefits
• Marco Giglio, our Lead Data Engineering, is the hiring manager
• Location: London (Holborn/Chancery Lane)
• 4 days in office
  
  

The application process:

1. Submit your CV (no need for a cover letter)
2. An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (20-30mins)
3. Product case study, remote (45 minutes)
4. Live coding, remote (60 minutes)
5. Meet team in office (60 minutes)