Posted 7 months ago
Head of GTM Engineering (AI Systems)
@ Huzzle
Remote in Canada
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
| Seniority | Lead |
| Department | Software development |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
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.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | London |
| Organization type | Privately Held |
| Specialties | Talent AcquisitionAI RecruiterHuman DataRL EnvironmentsEvalsRLHFand SFT |
| Open jobs on Jobsy | 35 |
| View page |
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
Journal
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