GTM AI Automation Engineer
New
F
FactoredAI automation, sales technology
Remote, Latin AmericaFull-Time
Salary not disclosed
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Job Details
- Languages
- Clear English communication
- Required Skills
- PythonSQLJavascriptTypeScriptRESTful APIs
Requirements
- Have a track record of building, deploying, and improving AI workflows or automations used by real teams.
- Bring practical Python or JavaScript/TypeScript skills, plus SQL.
- Have experience with APIs, webhooks, authentication, rate limits, and error handling.
- Have hands-on experience with LLM APIs, context design, retrieval, tool use, and output evaluation.
- Have experience with workflow platforms such as n8n, Make, or Clay, and judgment about when to use custom code.
- Understand CRM workflows, B2B account targeting, segmentation, buyer relevance, and funnel conversion.
- Be able to diagnose whether weak results come from data, targeting, messaging, workflow execution, or seller adoption.
- Communicate clearly in English and translate business needs into working systems.
- Helpful experience includes HubSpot, ZoomInfo, conversation intelligence, enterprise sales, account expansion, and partner sales motions.
Responsibilities
- Detect account changes, enrich records, and prioritize opportunities using fit, timing, and supporting evidence.
- Translate approved sales plays into buyer recommendations, outreach drafts, meeting preparation, partner introduction paths, and CRM updates.
- Connect account data, call transcripts, sales content, and customer feedback into reusable context for sellers and agents.
- Capture seller feedback and commercial outcomes, maintain versioned prompts, skills, and plays, and test improvements.
- Track account coverage, adoption, signal-to-action speed, conversion, and pipeline contribution across signals, plays, segments, personas, and channels.
- Evaluate AI outputs, handle integration failures, manage costs and permissions, and maintain appropriate human review.
- Document workflows and train users.
- Work with Sales, Account Management, Partnerships, Data, and Engineering across workflow discovery, prototyping, deployment, adoption, and improvement.
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