Customer Success Engineer, Advisory

United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
2–5+ years

Requirements

  • 2–5+ years of experience in advisory, consulting, or professional services roles (e.g., risk, compliance, cybersecurity, audit, ESG, or operational consulting).
  • Strong understanding of advisory engagement lifecycle, including scoping, execution, and client delivery.
  • Experience working in complex, multi-team advisory or consulting environments.
  • Hands-on comfort with software platforms, including workflow configuration and troubleshooting.
  • Strong ability to lead training, enablement, and organizational change initiatives.
  • Analytical and technical curiosity, with interest in data structures, system configuration, and AI-driven workflows.
  • Practitioner mindset focused on outcomes, transformation, and process improvement rather than relationship-only management.
  • Excellent communication skills with the ability to engage both practitioners and senior leadership.
  • Collaborative, adaptable, and comfortable working in a fast-paced startup environment.

Responsibilities

  • Own customer adoption, engagement success, and long-term retention across a portfolio of advisory and consulting clients.
  • Work directly inside the platform to configure workflows, templates, and engagement structures that improve advisory delivery.
  • Translate advisory methodologies into scalable, repeatable digital workflows that enhance consistency and efficiency.
  • Lead enablement, training, and change management initiatives to support adoption of modern delivery models.
  • Identify gaps in usage, workflow inefficiencies, and delivery risks, and proactively recommend improvements.
  • Act as a practitioner-advisor, guiding teams toward best practices in advisory execution and service delivery.
  • Collaborate with Product, Engineering, and Implementation teams to share field insights and influence roadmap priorities.
  • Support customer renewals and expansion by demonstrating clear, measurable value across advisory use cases.
  • Contribute to scalable success resources such as playbooks, templates, and best-practice frameworks.
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