GTM Engineer

Experience and Skills

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

Key Responsibilities

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.

Nice to Have

US Technology Buyers

Hiring Platforms

Sales Operations

Recruiting Technology

Workflow Automation Tools

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

We are looking for a hands-on GTM Engineer to build and operate the systems that generate qualified hiring opportunities. You will connect