> Markdown version of [/jobs/ext/1217516-ai-adoption-engineer-east](https://www.wearedevelopers.com/jobs/ext/1217516-ai-adoption-engineer-east). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Adoption Engineer - East - **Company:** TRAVERSAL CORP - **Location:** United States - **Experience:** Expert - **Salary:** $150,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Software Debugging, Distributed Systems, Software Product Management, Enterprise Software Applications, Prompt Engineering, Production Code, Virtual Agents, Splunk, Servicenow - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cdf8262e38fc4eee ## About the Role * 5+ years in a technical customer-facing role: solutions engineering, solutions architecture, technical account management, or customer success engineering at an enterprise software or infrastructure company. * Genuine technical depth - you can read logs, understand distributed systems failures, and have a point of view on why an AI agent produced a wrong root cause. You don't need to write production code daily, but you need to be credible in a room full of senior SREs. * Demonstrated ability to run executive-level conversations and engineer-level conversations in the same week with the same customer. You adjust without losing credibility at either level. * Experience driving adoption of a technical product with a complex, multi-stakeholder customer - not just managing the relationship, but actively changing how people work. * Strong written communication. Your monthly leadership updates, enablement decks, and QBR narratives will be the customer's primary record of why Traversal is worth renewing. * Comfort with ambiguity and a builder's instinct - this is an early-stage role; the playbook exists but you will extend it., * Background in observability, AIOps, ITSM, or incident management - you understand the workflows Traversal lives inside. * Experience as an SRE or FDE * Experience with Slack-based enterprise workflows, ServiceNow, or Splunk as a practitioner or integrator. * Familiarity with consumption-based or credit-based SaaS pricing models and what they mean for customer behavior. * Prior experience at a company that sold to infrastructure, platform, or SRE teams at large enterprises. * Exposure to prompt engineering or AI product configuration - you don't need to be an ML engineer, but you should understand why a system prompt matters. * History of turning a skeptical power user into a champion - you have a story about this. ## Description 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., 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. * Contribute to the adopt-traversal-sas cross-account Slack community, connecting power users across the customer base. * Maintain and update per-team enablement decks, keeping them current with each major release. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [The AI-Fluent Team: A Playbook for Driving Enterprise AI Transformation](https://www.wearedevelopers.com/videos/100068-the-ai-fluent-team-a-playbook-for-driving-enterprise-ai-transformation) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)