GTM Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of systems that transform raw signals into a pipeline, which includes prediction models, campaign infrastructure, and AI-driven personalized outreach.

• Develop models for estimator count, seating arrangements, anticipated ARR, and conversion scoring, incorporating confidence bands and continuous retraining.

• Execute multi-segment, multi-channel campaigns via email, LinkedIn, and voicemail.

• Manage campaign code, including routing, retries, deduplication, deliverability, uptime, and output quality.

• Create and monitor per-rep landing pages and AI avatar videos for comprehensive attribution.

• Establish call intelligence as a knowledge endpoint for preparation documents, follow-up emails, avatar scripts, and page content.

• Transform job changes, promotions, news, and clicks into scored, prioritized tasks for representatives.

• Assume responsibility for and enhance existing live systems that are already generating revenue.

• Make prioritization and implementation choices despite dealing with noisy data and imperfect attribution.

⛳️ Requirements

• A minimum of 5 years of experience in growth engineering, RevOps, or a technical marketing or sales operations position directly linked to pipeline or revenue generation.

• Proficient in at least one programming language, with the capability to write, debug, and validate production code.

• Practical experience in applied machine learning, including building, training, and maintaining production models.

• Ability to communicate model reliability effectively to non-technical stakeholders.

• Familiarity with REST APIs, webhooks, OAuth, and understanding of rate limits.

• Strong SQL skills and sound judgment in data analysis.

• Hands-on experience with HubSpot or Salesforce, as well as tools such as Clay, Apollo, Instantly, and n8n.

• Practical experience with large language models (LLMs), including prompting, function calling, and evaluating outputs.

• Background in construction or AEC, machine learning research, frontend or backend development, and experience in scaling a go-to-market engineering function are considered a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work environment and remote work options.

• Health, dental, and retirement benefits.

• Engaging team culture with collaborative projects and initiatives.