Enterprise Solutions Engineer, Service Management

Asana Asana · Enterprise · London, United Kingdom · AI GTM

This role is a Solutions Engineer focused on Asana Service Management for IT and service teams. The primary responsibility is to partner with Account Executives to lead technical validation, develop solution designs, conduct demonstrations, and build repeatable technical assets. The role involves understanding customer workflows, translating pain points into solutions, and advising on architecture and integrations. While the role mentions AI and LLMs, it is not a core craft of building AI models but rather using and explaining them in the context of enterprise solutions.

What you'd actually do

  1. Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within mid-market accounts (300–2,000 employees), from discovery through proof, demo, and close
  2. Develop a deep understanding of IT and service management workflows—including request intake, approvals, triage, fulfillment, cross-functional coordination, and knowledge sharing—and map those workflows to Asana Service Management
  3. Translate customer pain points into practical solution designs and compelling business value narratives for IT leaders, service owners, and cross-functional stakeholders
  4. Conduct technical discovery sessions, whiteboard conversations, and tailored product demonstrations that position Asana within the customer's existing technology landscape
  5. Help customers envision how modern service delivery, workflow automation, and AI can improve employee experience and operational efficiency

Skills

Required

  • 3+ years of experience in Solutions Consulting, Sales Engineering, or similar customer-facing technical roles
  • Strong understanding of IT and service team personas, including familiarity with service delivery workflows, operational pain points, and the systems these teams use every day
  • Strong discovery skills with the ability to uncover customer workflows, technical constraints, decision criteria, and success metrics before jumping to a solution
  • Proficiency in designing and delivering product demonstrations, workshops, and whiteboard sessions for both technical and executive audiences
  • Ability to explain technical concepts clearly and credibly, including LLMs, AI agents, integrations, workflow design, data structure, permissions, and automation concepts
  • Comfort operating in early-stage or incubation motions where messaging, product capabilities, and playbooks are evolving in real time
  • Adaptability, intellectual curiosity, and a strong builder mentality

Nice to have

  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
  • Familiarity with service management methodologies such as ITIL, service catalog design, SLA frameworks, and incident/request workflows
  • Experience with tools in categories such as ITSM, ESM, ticketing, knowledge management, identity, or workflow automation
  • Background supporting displacement or migration conversations from legacy enterprise software
  • Understanding of AI-powered automation, self-service experiences, or employee service delivery use cases
  • Comfort with modern sales and demo tooling, and with building scalable technical content for a growing field organization

What the JD emphasized

  • partnering with a dedicated Account Executive
  • newly formed team
  • early-stage or incubation motions
  • messaging, product capabilities, and playbooks are evolving in real time
  • building scalable technical content for a growing field organization