GTM Engineer
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Job Description
GTM Engineer owning predictive models, campaign infrastructure, and AI personalization. Building revenue systems for an AI-powered construction pre-estimating platform.
Responsibilities:
- Own systems that turn raw signals into pipeline, including prediction models, campaign infrastructure, and AI-generated personalized outreach
- Build models for estimator count, seats, expected ARR, and conversion scoring, including confidence bands and ongoing retraining
- Run multi-segment, multi-channel campaigns across email, LinkedIn, and voicemail
- Own campaign code, routing, retries, deduplication, deliverability, uptime, and output quality
- Generate and track per-rep landing pages and AI avatar video for end-to-end attribution
- Develop call intelligence as a knowledge endpoint for prep documents, follow-up emails, avatar scripts, and page copy
- Convert job changes, promotions, news, and clicks into scored, prioritized representative tasks
- Inherit and improve live systems that already carry revenue
- Make prioritization and implementation decisions under noisy data and imperfect attribution
Requirements:
- 5+ years in growth engineering, RevOps, or a technical marketing or sales ops role tied directly to pipeline or revenue moved
- Strong fluency in a programming language; ability to write, debug, and validate production code
- Applied ML experience, including building, training, and maintaining a production model
- Ability to explain model reliability to non-technical stakeholders
- Experience with REST APIs, webhooks, OAuth, and rate limits
- Strong SQL and data analysis judgment
- Hands-on experience with HubSpot or Salesforce and tools such as Clay, Apollo, Instantly, and n8n
- Practical LLM experience, including prompting, function calling, and output evaluation
- Construction or AEC background, ML research background, frontend or backend depth, and experience scaling a GTM engineering function are bonuses
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