Senior Software Engineer, GTM Engineering

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. 

As a Software Engineer on Vanta's GTM Engineering team, you will design and ship internal tools that transform how our go-to-market teams operate. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers.

Vanta's GTM Engineering team operates as an internal incubator: applying our technology at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of product engineering and GTM strategy, shipping solutions that range from rapid prototypes to production-grade systems.

As a senior engineer on this team, you will own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software.

Visit our Vanta Engineering Blog to learn more about what our team is working on! 

What you’ll do as a Software Engineer at Vanta:

• 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

How to be successful in this role:

• 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

• Experience with GTM systems (Salesforce, HubSpot, Gong, workflow automation tools like Workato or n8n) or modern data stack tools (Snowflake, dbt) is a plus

• 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 th