About Traversal

Traversal is the AI Site Reliability Engineer (AI SRE) for the enterprise.

Production complexity was already outpacing what engineering teams could manage manually, and AI-generated code is accelerating that gap. Traversal is built for that challenge, autonomously understanding and reasoning across even the largest, most complex production environments to diagnose, fix, and prevent incidents. Our mission is to free engineers from endless firefighting and give them more time to focus on creative, high-impact work.

Today, Traversal operates in mission-critical environments at some of the world’s largest enterprises, including PepsiCo, Nubank, Harvey, and DigitalOcean. Our roots remain deeply embedded in AI research, and we’ve brought together researchers from institutions including MIT, Harvard, Berkeley, Columbia, and Cornell with world-class technical staff and operators from companies like Google, Meta, Datadog, ServiceNow, and Citadel Securities to take on one of the hardest problems for AI to solve. Traversal is backed by Sequoia Capital, Kleiner Perkins, Redpoint Ventures, and Khosla Ventures.

The Role

As a Go-To-Market Engineer, you will help build and scale our AI-native revenue engine. This role is at the intersection of growth, automation, and engineering. You will design and ship AI-powered workflows that generate qualified pipeline, remove friction across the customer journey, and help our marketing team operate with leverage through automation.

You’ll play a key role in developing a centralized marketing AI agent trained on our content, messaging, product knowledge, and performance data — enabling rapid creation of ads, social content, blogs, and creative assets with consistency and quality.

This role sits within Marketing and partners closely with Sales, RevOps, and Engineering. The right candidate will combine systems thinking with hands-on execution and a bias toward shipping.

Responsibilities

Build and ship AI-powered GTM workflows that generate qualified sales pipeline across outbound, inbound, and lifecycle channels

Design and maintain a centralized marketing AI agent trained on company content, competitive intel, messaging, and performance data to accelerate content creation and campaign execution

Own key GTM automation systems end-to-end, including prospecting workflows, enrichment, lead routing, scoring, and reporting

Partner with Marketing, Sales, RevOps, and Engineering to identify friction in the customer journey and implement scalable solutions

Design, test, and iterate on growth experiments, creating measurable feedback loops to improve conversion and pipeline efficiency

Establish documentation, governance, and quality standards for AI and automation across the GTM organization

Requirements

5+ years of experience in GTM systems, growth engineering, revenue operations, marketing automation, or a related technical role within B2B SaaS

Strong hands-on experience building automation using APIs, webhooks, LLMs, and modern GTM tools (e.g., Salesforce, HubSpot, Clay, Outreach, data enrichment platforms)

Comfort working with technical systems including JSON payloads, APIs, and basic SQL for validation or analysis

Proven ability to translate ambiguous GTM challenges into shipped, measurable improvements

Experience building AI-powered workflows, agents, or automation systems that drive business impact

Strong systems thinking and the ability to design scalable, repeatable infrastructure

Excellent cross-functional collaboration skills, especially when partnering with internal engineering teams

Nice to Have

Experience building or deploying AI agents in production environments

Familiarity with observability, developer tools, or technical B2B audiences

Experience training LLM workflows on internal knowledge bases or structured datasets

Experience supporting enterprise sales motions

Prior experience as a Sales Engineer, Forward Deployed Engineer or Account Executive

Prior experience operating in a high-growth, early-stage startup environment