Sr. AI GTM Engineer
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
Python · TypeScript · JavaScript · React · Node.js · SQL · LLM APIs · Salesforce · HubSpot · Gong
About Vanta
Trust management platform that helps companies automate compliance, continuously monitor security programs, manage vendor risk, streamline security questionnaires, and prove trust to customers through self-serve trust workflows.
Series D · 500–1000 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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 Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. 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. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is
More from the job description
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 Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. 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. You will also 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 AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI 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 [... source excerpt omitted ...] tion-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs leveraging AI Apply AI and modern technologies in novel ways to systematize and automate GTM workflows (e.g. building fully agentic SMEs and sellers) Design, develop, [... source excerpt omitted ...] peScript, 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: 5+ years of software engineering experience with a strong focus on building and shipping full-stack applications You've built products from the ground up, navigated ambiguity, and owned outcomes in a fast-paced, resource-constrained environment
Employer postings · Data from · Sources