Associate Value Engineer (Post-Sales)

This is a post sales role helping customers get real value from a process intelligence platform. It asks for someone who can advise accounts, resolve problems, run training and onboarding, and turn data into clear recommendations. A strong candidate brings a background in customer success, value engineering or consulting, plus hands on process improvement work and solid Excel analysis skills. How it fits the AI era The product uses AI to map how work happens and to build agents that carry out repetitive tasks, so much of the day to day is helping customers read those outputs and decide what to change. The human side stays central: building trust, explaining findings, guiding adoption and pushing customer needs back to product and engineering teams. AI speeds up the analysis, but judgment about which processes matter and how to act on them remains with people. How it builds AI experience Working here gives direct exposure to applying AI agents inside large enterprises, from reading process maps to supporting rollouts. A candidate can build this by learning process mining and task mining basics, trying automation or GenAI tools hands on, and getting comfortable with enterprise systems like SAP or Salesforce. Practicing how to explain AI outputs to non technical audiences also helps. Worth showing Customer success or consulting Lean or Six Sigma Excel pivot tables and formulas Process improvement Stakeholder communication 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 Mimica Mimica turns employee desktop activity into process maps and AI agents that execute the work, per the company. Tools mentioned: machine learning, Salesforce #J-18808-Ljbffr