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Posted 7 months ago

Head of GTM Engineering (AI Systems)

@ Huzzle

Remote in Canada

RemoteFull-time
Apply now
SIGNALS

Overview

Huzzle is placing a Head of GTM Engineering (AI Systems) with an AI-first go-to-market systems company that builds automated revenue engines. The role leads the shift from no-code automation to code-first AI agent infrastructure and manages a distributed engineering team. The posting is a full-time independent contractor engagement, fully remote, and states no salary figure.

Responsibilities:

  • Design and build AI-powered GTM systems from signal detection to campaign orchestration
  • Develop scalable backend systems in Python, JavaScript or TypeScript
  • Lead and scale a distributed team of engineers
  • Establish best practices for testing, documentation and deployment
  • Ensure system reliability through monitoring and error handling

Requirements summary:

  • Proven experience building GTM automation systems in production
  • Hands-on coding in Python, JavaScript or TypeScript
  • Experience with AI/LLM-powered systems
  • Deep understanding of outbound sales workflows and revenue operations
  • Experience leading or mentoring engineers or technical teams

Tools & skills

Source and dates

Employer career site / ATS feed · workable

Employer posting date
2026-04-05
First seen by our source
2026-10-09
Source record updated
2026-10-09

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityLead
DepartmentSoftware development
Manages peopleYes
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Huzzle

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Huzzle connects world-class talent with AI labs, startups, and enterprises.

Full company description

Huzzle connects world-class experts with AI labs, startups, and enterprises. We use our AI recruiter to source, multi-stage vet, and train large volumes of talent while maintaining consistently high quality. Huzzle Labs (labs.huzzle.com) is a dedicated team of researchers & engineers delivering PhD-level human data and RL environment projects to AI labs by leveraging the expert pool and AI recruiter of Huzzle.com.

LinkedIn followers
206,523
People associated on LinkedIn
99
Reported office locations
  • London, W1W7LT, GB
  • Berlin, 10115, DE
  • San Francisco, 94109, US
Business categories
  • Compliance
  • Human Resources
  • Employment
  • Apps
  • Communities
  • B2C
  • Recruiting
  • Enterprise Software
  • Marketplace
  • SaaS
  • B2B
  • Artificial Intelligence (AI)
  • Career Planning
Other recorded names
  • Huzzle
  • Huzzle.com
Specialties
  • Talent Acquisition
  • AI Recruiter
  • Human Data
  • RL Environments
  • Evals
  • RLHF
  • and SFT
Profile identifies a recruitment agency
Yes
Reported total investment
2,056,216

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Huzzle connects world-class experts with AI labs, startups, and enterprises. We use our AI recruiter to source, multi-stage vet, and train large volumes of talent while maintaining consistently high quality. Huzzle Labs (labs.huzzle.com) is a dedicated team of researchers & engineers delivering PhD-level human data and RL environment projects to AI labs by leveraging the expert pool and AI recruiter of Huzzle.com.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersLondon
Organization typePrivately Held
SpecialtiesTalent AcquisitionAI RecruiterHuman DataRL EnvironmentsEvalsRLHFand SFT
Open jobs on Jobsy35
LinkedInView page
Job description

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.

Role Type: Full-time

Engagement: Independent Contractor

About the Company

Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure.

Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR.

Job Summary

We are hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to AI-agent-driven, code-first infrastructure.

This role is ideal for a builder who started in automation (e.g., workflow tools, enrichment pipelines, API integrations) and is now evolving into full-scale engineering—designing scalable systems, writing production code, and leading technical teams.

You will own the architecture powering revenue operations, build intelligent agent systems, and lead a team of engineers delivering high-impact GTM infrastructure across multiple client environments.

Key Responsibilities

AI Agent Architecture & Engineering

  • Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling
  • Develop scalable backend systems using Python, JavaScript, or TypeScript
  • Architect integrations across CRMs, APIs, data sources, and outreach platforms
  • Build reusable agent frameworks, templates, and SDK-like components for rapid deployment

Team Leadership & Engineering Culture

  • Lead and scale a distributed team of engineers (including offshore talent)
  • Establish best practices for version control, testing, documentation, and deployment
  • Mentor automation-focused engineers into AI-agent and software engineering roles
  • Own hiring, onboarding, and performance management

Platform Development & Innovation

  • Drive the shift from no-code workflows to code-first AI systems
  • Evaluate emerging AI tools, LLM capabilities, and automation frameworks
  • Contribute to internal AI tooling and reusable automation libraries
  • Prototype and validate new automation opportunities quickly

Systems Reliability & Performance

  • Ensure system reliability through monitoring, logging, and error handling
  • Optimize infrastructure for cost, performance, and scalability
  • Build observability systems to proactively detect and resolve issues

Requirements

Must-Have Experience

  • Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation)
  • Strong understanding of data pipelines, webhooks, and multi-step automation logic
  • Hands-on coding experience in Python, JavaScript, or TypeScript
  • Experience working with AI/LLM-powered systems (prompt design, chaining, context handling)
  • Deep understanding of outbound sales workflows and revenue operations
  • Experience leading or mentoring engineers or technical teams

Preferred Qualifications

  • Production-level engineering experience with scalable systems
  • Background in agencies, consultancies, or multi-client environments
  • Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure)
  • Active participation in automation, AI, or GTM engineering communities

Benefits

💻 Fully Remote: Work from anywhere with international teams

🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services

🤝 Peer Community: Connect with high-performing sales professionals in our network

🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

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Exclude locations

Workplace type

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