Head of Marketing Engineering / AI Growth Lead

We’re looking for a Head of Marketing Engineering / AI Growth Lead who sees modern marketing less as traditional campaigns and manual copywriting, and more as software engineering, data orchestration, automation, and AI-driven systems.

This person will design and deploy deterministic marketing software, automated data pipelines, and targeted AI workflows. The objective is to build a repeatable, programmatic growth engine rather than rely on legacy outbound playbooks, agencies, or expensive LLM wrappers.

Key Responsibilities

Programmatic Signal Mining & Data Pipelines

- Build automated systems to identify high-intent buyer signals across LinkedIn, X/Twitter, Reddit, and other sources using scraping APIs such as Apify/Ampify.
- Build waterfall enrichment pipelines using tools such as GetLeads.io, Apollo, Origami, Lead Magic, and MillionVerifier to maximize data yield while controlling cost.
- Integrate reverse-IP, firmographic, behavioral, and intent signals into clean data warehouses such as ClickHouse, Snowflake, or BigQuery.

Autonomous Outbound & Inbox Architecture

- Architect scalable cold email and LinkedIn DM infrastructure using isolated domain clusters and tools such as Hypertide, Inbox Kit, Instantly, and HeyReach.
- Build LLM-assisted inbox agents using webhooks and custom code, hosted on platforms such as Railway or AWS.
- Automate objection handling, long-term follow-up, lead routing, and meeting booking through Calendly or Cal.com.

Programmatic & Organic Content Distribution

- Build content extraction pipelines that pull authentic insights from Gong calls, Slack, technical transcripts, podcasts, and other internal sources.




- Turn those insights into high-performing social content using automated workflows.
- Orchestrate multi-account/team distribution and create analytics loops that identify winning content, angles, and formats and systematically remix them.

Technical Efficiency & System Architecture

- Favor token-efficient architecture: local compute, cron-based software, lightweight code, and deterministic workflows over unnecessary continuous LLM inference.
- Use tools such as Claude Code, Cursor, and Codex to rapidly prototype growth software, scripts, internal APIs, and automation.
- Reduce dependence on agencies and inflexible no-code platforms by building internal growth infrastructure.

Candidate Requirements

Hard Skills

- Strong GTM capability.
- Deep familiarity with scraping APIs, proxy networks, webhooks, REST/GraphQL APIs, and automation infrastructure.
- Hands-on experience building B2B waterfall enrichment systems.
- Strong understanding of outbound infrastructure and deliverability, including SPF, DKIM, DMARC, inbox warm-up, domain rotation, and platforms such as Instantly, Smartlead, and Hypertide.
- Experience with prompt engineering, lightweight LLM decision systems, and deploying background jobs/cron workflows on Railway, Render, AWS, Vercel, or similar.

Experience / Mindset

- 5+ years in Growth Engineering, Technical Marketing, GTM Engineering, or as a technical founder/co-founder in B2B SaaS.
- Engineering-first view of marketing: uses software, automation, and high-signal human inputs rather than generic AI-generated content or unnecessary token-heavy systems.
- Highly quantitative and focused on CAC, payback period, deliverability, conversion rates, data yield, and funnel efficiency.

📌 Head of Marketing Engineering / AI Growth Lead (México)
🏢 Remote Jobs
📍 México