Top Tech Jobs & Startup Jobs in Chicago, IL

Partner with enterprise customers to drive successful adoption and business outcomes using Fin’s AI customer service agent. Responsibilities include requirements gathering, process mapping, solution design, configuration guidance, usage monitoring, optimization, expansion identification, success planning, executive business reviews, and internal customer advocacy. The role requires strong technical acumen, customer-facing communication, prioritization, and experience improving processes and measurable outcomes for enterprise accounts.

Partners with enterprise customers and C-suite stakeholders to drive AI customer-service transformations. Responsibilities include requirements gathering, process mapping, solution design, configuration guidance, adoption monitoring, optimization, success planning, QBRs, strategic planning, and identifying expansion opportunities. The role collaborates with engineers, advocates for customer needs internally, and drives measurable automation and business outcomes.

Lead technical discovery, pre-sales presentations, solution reviews, proof-of-concept engagements, RFP responses, and customer security discussions. Partner with Product, R&D, and Engineering to translate customer needs into tailored AI solutions, influence product direction, and improve Solutions Engineering processes. Build trusted customer relationships, communicate value to technical and business audiences, support customer success, and travel occasionally.

Lead technical discovery, presentations, solution reviews, proof-of-concept design, RFP responses, and customer security discussions throughout the sales cycle. Partner with customers, Product, R&D, and Engineering to tailor AI solutions, communicate customer feedback, influence product direction, and improve Solutions Engineering processes. Build trusted customer relationships, drive adoption and success, and travel occasionally.

Lead complex AI customer-agent deployments from discovery through implementation. Manage project scope, schedule, budget, risks, reporting, and stakeholder communication while configuring automation, workflows, and analytics. Coordinate integrations, data migrations, security reviews, and technical readiness with engineers. Advise executives and technical teams, measure customer value and adoption, collaborate cross-functionally, and improve deployment methodologies using AI tooling.

As a Scaled Customer Success Manager, you will drive product adoption, engage customers, monitor usage, and collaborate with various teams to enhance customer experiences using AI-powered solutions.