Customer Success Engineer

Customer & Solutions · San Francisco · FullTime · Senior level This role owns the relationship with a small set of important customers, from the first rollout through renewal. It asks for someone who can talk with engineers about testing and CI/CD, then turn usage numbers into a clear plan for an executive sponsor. A strong candidate has managed complex technical accounts, can read and debug code, and stays calm when a customer is unhappy or the problem is vague. How it fits the AI era As AI speeds up how fast teams write code, checking that the code works becomes a bigger concern, and this role sits right at that point with customers. AI can help with the routine parts, such as pulling usage data, drafting reports and flagging accounts at risk. Building trust, reading what a sponsor really cares about, and handling a hard renewal conversation stay with a person. How it builds AI experience The work puts someone close to an AI testing product that writes, runs and repairs tests from plain-English instructions, so they see how real engineering teams adopt it and where it falls short. The posting also expects building AI-assisted dashboards and workflows for account tracking, which gives hands‑on practice. Someone preparing could try the product's approach on a small app and build a simple AI‑based usage report to practice. Worth showing Strategic technical account ownership Hands‑on coding and debugging Usage data into business cases AI‑assisted workflow automation This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About Momentic An AI QA engineer that writes, runs and repairs software tests from plain-English instructions, for web, iOS and Android apps. #J-18808-Ljbffr