Employer description & source details
Own the customer engagement from discovery through full scope delivery. Define and document implementation requirements for each account, validated against the customer's real data and workflows. Own resolution of blockers across support, engineering, and the customer's IT. Lead the technical implementation of Atlas agents inside customer tenants: data mapping across objects, fields, and tokens, connector configuration, and authentication setup spanning DNS, SSO, and Salesforce integrations. Support the rollout of AI agents alongside an AI native services team leveraging both agentic and human engagement. Own roadmap prioritization of each deployment and reconcile it against broader customer and engineering requirements. Construct ROI models and value narratives tailored to each account, and present them with credibility to customer leadership. Run go or no-go reviews on new opportunities, weighing business cases against effort and upside, and make a clear recommendation. Partner on services scoping and pricing for new deployments. Lead renewal reviews, implementation, and outcome-based conversations. Define and design agentic renewal workflows to drive specific customer goals and ensure the renewals team is trained to successfully execute the process. Surface problems, own the path forward, and clarify ownership. Close the loop to product and engineering Carry the reality of the field back to the core team: the gaps, the friction, the recurring failure modes, and the requests that recur across accounts. Prioritize product fixes so that hard-won lessons compound. Contribute to internal reviews and shape the roadmap with real evidence. Document what you learn, configurations, failure modes, ROI frameworks, in forms the next deployment can actually use, not just the one y
Extracted skills: go, sql, customer success, recruiting, product management