Vanta is a company focused on helping businesses earn and prove trust through continuous security monitoring. They are seeking a GTM Engineer to build AI-driven automations that enhance the efficiency of their go-to-market teams, impacting pipeline generation and customer growth.
Responsibilities:
- Systematize and Automate the GTM Motion: Identify high-leverage opportunities for AI and automation across GTM workflows (e.g. prospecting, pipeline generation, account research, renewal prep)
- Build AI-powered workflows & agents: Design, build, and maintain AI-driven workflows and agents using a mix of workflow tools (Salesforce flows and Workato) and code (e.g., Python, SQL)
- Build and Ship Internal Tools: Design, develop, and maintain internal-facing web applications leveraging Claude Code and Netlify
- Partner with GTM Leadership: Work with Sales and Post Sales leadership to understand their needs and build custom AI-based solutions that align with their strategic goals
- Ship reliable, maintainable systems: Develop technical documentation, monitoring, and testing frameworks to ensure that GTM systems and AI workflows are reliable, observable, and easy to adopt
- Experiment, evaluate, and iterate: Evaluate and implement new GTM and AI technologies, APIs, and tools (e.g., enrichment platforms, orchestration tools, AI vendors) with a clear “build vs. buy” perspective
Requirements:
- 5+ years of experience in business systems, GTM engineering, data/analytics engineering, or a similar role in high-growth B2B SaaS
- Strong knowledge of how AI and automation can be applied in business and GTM systems (e.g., workflow automation, summarization, routing, scoring)
- Prior software engineering experience, proficiency with Salesforce (data model, Flows, integrations) and experience integrating other GTM systems (e.g., Gong, Heap and other marketing automation tools)
- Strong SQL skills; experience with modern data stack tools like Snowflake and dbt is a plus
- Excellent communication and interpersonal skills to work effectively with internal stakeholders and cross-functional teams
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact