AI Adoption Engineer - West
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. 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, Hanabi, NFDG, and American Express Ventures.
The Role
As an AI Adoption Engineer you are a technically fluent, commercially aware practitioner who moves a customer through four adoption phases — Activation, Scaling, Optimization, and Value Realization — and owns the outcome at each step. You will run enablement sessions, debug accuracy failures, engineer custom prompts, drive quarterly business reviews, gather product feedback, drive product changes, and surface expansion opportunities.
Traversal is an AI SRE platform that delivers root cause analysis and incident resolution with causal reasoning inside the workflows engineers already use — Slack, ServiceNow, and more. Our customers run some of the most demanding production systems on the planet: global financial networks, cloud-native infrastructure, mission-critical digital commerce.
We sell a consumption-based product. The selling never stops, and adoption work never stops. Every customer touchpoint is an opportunity to drive more usage — and more value. Today our Field Deployment Engineers own implementation. Once a customer is live, the next chapter begins: getting them to the point where Traversal is the first tool engineers reach for on every incident, renewal is a formality, and expansion is a natural conversation.
That chapter belongs to the AI Adoption Engineer (AAE).
Responsibilities
Customer Ownership
Own all four adoption phases end-to-end for a portfolio of enterprise accounts, from first post-deployment kickoff through renewal signature.
Maintain a customer-specific 30/60/90 roadmap, updated weekly and reviewed in every customer sync.
Run every customer-facing meeting type in the process: kickoffs, team enablement sessions, bi-weekly product feedback calls, power-user 1:1s, weekly syncs, exec/leadership syncs, and Quarterly Business Reviews.
Publish a monthly async leadership update to each account’s executive sponsors — written, concise, and built on real usage data.
Technical Depth
Own customer-specific integrations, custom prompt engineering, and edge-case debugging for each assigned account.
Instrument and maintain accuracy tracking in collaboration with the customer — ensuring the dataset is customer-owned and credible, not vendor self-reported.
Identify and capture failure modes through power-user 1:1s, then work with the product team to translate them into roadmap items.
Debug and resolve platform issues surfaced during adoption, coordinating with engineering when needed.
Push for service-launch integration — getting Traversal wired into customer OAR/compliance checklists so every new service enables it by default.
Cross-Functional Contribution
Synthesize customer feedback into structured product roadmap input for engineering and product leadership.
Contrib