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GTM Engineer
On-siteFull-timeCRM ImplementationCybersecurityEnterprise Software
Build and operate production-grade automations, AI workflows, CRM integrations, and data pipelines that support go-to-market operations for a cybersecurity software company.
Responsibilities
- Design, build, and maintain production-grade GTM workflows and automations.
- Develop and deploy LLM-powered workflows, prompt libraries, and AI agents within business systems.
- Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment, support, and internal systems.
- Configure and extend Salesforce objects, data models, automation, validation, and integrations.
- Write and maintain Python or JavaScript scripts and small services.
- Monitor, troubleshoot, and optimize business processes.
- Document workflows, provide enablement and training, and drive adoption through feedback loops.
- Evaluate tools and technologies for return on investment, scalability, and maintainability.
Requirements
- 4–6 years of experience in business systems, revenue operations systems, data or systems engineering, or similar hands-on technical roles.
- Deep understanding of go-to-market processes, lead lifecycles, funnel stages, routing, territory logic, pipeline, and forecasting.
- Proven experience building and deploying end-to-end workflows and automations in business environments.
- Experience with enterprise automation and orchestration platforms such as Workato, Zapier, Make, or n8n.
- Strong experience integrating and extending CRM systems, ideally Salesforce, including data models, automation, and integrations.
- Experience with REST APIs, authentication, webhooks, and cross-platform data flows.
- Programming experience with Python and/or JavaScript.
- Hands-on experience with LLM tools and workflow engineering, focused on reliable real-world applications.
- Strong analytical and troubleshooting skills, with an emphasis on simple, maintainable solutions.
- Ability to partner with non-technical stakeholders, improve broken processes, and prioritize work by business impact.
Nice to have
- Experience with marketing automation platforms and enrichment or data providers.
- Experience building agent frameworks or multi-step AI agents connected to internal systems.
- Experience with BI or reporting tools for go-to-market data.