Description
As a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that transform how go-to-market teams operate and win.
You will embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale customer engagement.
You will own end-to-end outcomes, move quickly from concept to production, and directly shape customer experiences.
Responsibilities:
- 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
- Design, develop, and maintain internal-facing web applications and AI-driven agents using 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:
- 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
- Deep technical skill set: proficiency in modern programming languages (Python, TypeScript/JavaScript), experience with web frameworks (React, Node.js), and strong SQL skills
- Experience with AI and automation applied to business workflows, including LLM APIs, prompt engineering, or workflow automation tools
- Experience working closely with non-technical stakeholders 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
- 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