GTM Engineer
# GTM Engineer **Niuro** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role - At least 5 years of experience building and operating GTM, growth, revenue, or commercial automation systems. - Demonstrated ownership of GTM systems, including measurable commercial results, troubleshooting, and system improvements. - Hands-on experience with Python or JavaScript, SQL, APIs, and webhooks. - Experience using Git and automated or repeatable testing practices. - Practical experience integrating LLMs into production or operational workflows. - Ability to evaluate AI output quality, cost, speed, failure modes, and appropriate human review points. - Experience designing and running commercial experiments with clear hypotheses, audiences, budgets, success metrics, and review dates. - Strong commercial judgment regarding customer relevance, opportunity quality, and outreach effectiveness. - Ability to build, maintain, monitor, and troubleshoot integrations and automated workflows. - Confident written and verbal communication in English. - Ability to work independently in ambiguous environments, follow through after launch, and document systems for others to operate. - Hands-on experience with REST APIs, Automated Testing, AI Evaluation, Workflow Automation, Experimentation, Data Quality, Monitoring, Cost Optimization. Skills - GTM systems you’ve built and operated. You can show your contribution - the commercial result - what broke and how you fixed it. Hands-on engineering. You write Python or JavaScript - work with SQL - JavaScript - SQL - REST APIs - Webhooks - Git - Automated Testing - AI Evaluation - Workflow Automation - Experimentation - Commercial Analytics - LLMs - Identify companies with relevant hiring signals by connecting market data, customer records, and Hiring OS activity. - Maintain reliable account information and determine whom to contact and when based on signals such as open roles and team expansion. - Build systems for account research, qualification, relevant outreach, and follow-up. - Use AI in outreach and research workflows with quality controls, clear human handoffs, and appropriate monitoring. - Build and maintain API integrations, webhooks, and workflow automations. - Handle failures, improve observability, and keep workflows reliable and easy to operate. - Protect customer and candidate information and manage API and execution costs. - Find bottlenecks, prioritize experiments, measure results, and stop ineffective approaches. - Turn successful experiments into repeatable systems that generate new and repeat hiring processes. - Establish performance baselines and track hiring processes started, conversion rates, cost per process, and workflow reliability. - Collaborate with Growth Owners and cross-functional teams to improve opportunity quality and commercial outcomes. - Document system decisions, tradeoffs, operating procedures, and results. - US Technology Buyers - Hiring Platforms - Sales Operations - Recruiting Technology - Workflow Automation Tools
Наблюдалась 2026-09-30, впервые 2026-09-30, источник — Get on Board (LATAM).