Senior Software Engineer, GTM Engineering

Vanta is a company dedicated to helping businesses earn and prove trust through continuous security monitoring. As a Senior Software Engineer on the GTM Engineering team, you will design and ship internal tools that enhance the efficiency of go-to-market teams, while owning the full product lifecycle and collaborating closely with various departments to identify and address user needs.

Responsibilities:

• Build and ship applications that accelerate Vanta's GTM efforts: from AI-powered workflows that automate prospecting and account research to internal tools that improve rep productivity and pipeline velocity
• Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems
• Partner closely with Sales, Technical Success, and Revenue Operations to identify high-leverage opportunities, understand user needs, and build for them
• Apply AI and modern technologies in novel ways to systematize and automate GTM workflows (e.g., pipeline generation, deal preparation, renewal velocity, scoring and routing)
• Design, develop, and maintain internal-facing web applications and AI-driven agents using a mix of frameworks, APIs, and code (Python, TypeScript, SQL)
• Ship reliable, maintainable systems with technical documentation, monitoring, and testing frameworks to ensure adoption and observability
• Translate learnings from customer-facing work into feedback for product and research teams to inform broader product development
• Evaluate and implement new technologies, orchestration tools, and AI platforms with a clear 'build vs. buy' perspective

Requirements:

• 7+ years of software engineering experience with a strong focus on building and shipping full-stack applications
• Former founder or early engineer at a startup (0–50 employees): you've built products from the ground up, navigated ambiguity, and owned outcomes in a fast-paced, resource-constrained environment
• Deep technical skill set: proficiency in modern programming languages (Python, TypeScript/JavaScript), experience with web frameworks (React, Node.js), and strong SQL skills
• Understanding of how AI and automation can be applied to business workflows: experience with LLM APIs, prompt engineering, or workflow automation tools is a strong plus
• Experience working closely with non-technical stakeholders (Sales, Operations, Customer Success) to translate business needs into technical requirements and ship impactful solutions
• Product mindset: you care about user experience, business impact, and building systems that people love to use, not just technical elegance
• Demonstrated ability to move quickly from prototype to production, make effective tradeoffs, and ship incrementally
• Excellent communication skills and the ability to explain technical decisions to business stakeholders and executive leadership
• Must be authorized to work in the U.S. without the need for current or future employer sponsorship
• 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
• Experience with GTM systems (Salesforce, HubSpot, Gong, workflow automation tools like Workato or n8n) or modern data stack tools (Snowflake, dbt)