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Go To Market Engineer

AI Engineer Part-time Permanent LATAM

Job details

Not specified Salary
LATAM Eligibility
Senior Experience
Part-time Employment

About this role

Role overview A senior, fully behind-the-scenes engineering role at a product engineering agency that designs, builds, and scales digital products for startups and tech companies. As the first hire of its kind, this person will treat the agency's internal go-to-market engine as a product, building the AI systems and infrastructure that make the marketing and sales teams measurably more capable.

Responsibilities - Map current marketing and sales workflows to identify the highest-leverage automation, integration, or redesign opportunities across SEO, web, content, design, CRM hygiene, account research, and outbound - Design, build, and operate the data pipelines, integrations, APIs, and AI agents that connect the go-to-market stack end to end - Architect reliable agentic systems using loop and graph engineering patterns, with clear goals, verification, stopping conditions, and human checkpoints where they matter - Keep the CRM as the single source of truth, minimizing manual data entry while ensuring every contact has an owner, a next step, and full conversation context - Build signal-based account research and prioritization so reps know which accounts to pursue, why now, and walk into every meeting prepared - Maximize the value of existing tools, build custom where they fall short, and make data-driven build-versus-buy recommendations with clear cost and expected return

Requirements - 5+ years of hands-on experience in software, AI, or GTM engineering, including building platforms used by sales teams - Strong programming in Python or TypeScript or JavaScript, plus production-grade system design across APIs, data models, pipelines, and integrations - Demonstrated experience using LLMs in production, including agents, tool use, MCP, orchestration, evaluation, and monitoring - A portfolio of real systems shipped for revenue teams, such as AI agents, enrichment pipelines, or HubSpot architecture - Commercial judgment to weigh whether a workflow actually helps close deals before building it - Fluent written and spoken English

Nice to have - Working knowledge of how marketing and sales teams operate, from SEO and web operations to pipeline and CRM

Benefits and work setup Fully remote and 100% behind the scenes; the engineer will not interact with prospects or clients. Success is measured by hours of manual work removed from marketing and sales, CRM data health, conversion from MQL to SQL to Opportunity, adoption of new workflows week after week, and reliability of automated systems that run without babysitting.

Skills detected in the listing

GoSQL
Detected Oct 1, 2026
Last verified Oct 1, 2026

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