AI Strategist

Asana Asana · Enterprise · New York, NY · AI GTM

This role is for an AI Strategist at Asana, focusing on bringing Asana Service Management to IT and service teams. It involves designing, deploying, and scaling AI workflows with enterprise customers. The role is a hybrid of Customer Success Manager, implementation consultant, and product strategist, aiming to accelerate customer time to first value by guiding them through technical implementation, configuration, and migration. The strategist will also identify deployment risks, drive adoption, build reusable playbooks, and provide structured customer feedback to the product team. The ideal candidate has experience helping customers adopt AI/ML tools and understands IT buyer personas.

What you'd actually do

  1. Accelerate Time to First Value: Lead customer engagements from post-sale ideation through immediate delivery, ensuring rapid deployment and measurable initial business outcomes.
  2. Implementation Planning & Execution: Develop a deep understanding of IT and service management workflows, to bring customers high-value AI use cases, relevant success metrics, and structured onboarding paths.
  3. Configuration & Migration Guidance: Provide tactical, hands-on guidance to help customers configure their environments and seamlessly migrate legacy workflows or data into our AI platform.
  4. Risk Mitigation & Deployment Governance: Proactively identify technical, process, and adoption risks during deployment; implement mitigation strategies to prevent project stalls.
  5. Build the Playbook: Document best practices, technical configurations, and change management frameworks to build a comprehensive, reusable playbook for future hires and scaling customers.

Skills

Required

  • 3+ Years of Experience: Demonstrated success in a technical Customer Success, Implementation, Technical Account Management, or Management Consulting role.
  • 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
  • AI Adoption & Consulting Expertise: Experience helping customers evaluate, adopt, or scale AI/ML tools in their workflows, with a strong ability to translate AI capabilities into executive storytelling and ROI framing.
  • Change Management for Tech Transitions: Proven ability to guide complex organizations through process and behavioral shifts, specifically as technology and AI capabilities evolve.
  • Proficiency in designing and delivering product demonstrations, workshops, and whiteboard sessions for both technical and executive audiences
  • Strong collaboration skills—you work seamlessly with AEs, CSMs, Product, Product Marketing, and other Solutions Engineers to drive customer outcomes
  • 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
  • Strategic Communication: Seamlessly navigate between deep technical conversations with developers and ROI-focused presentations with C-level executives.

Nice to have

  • Familiarity with AI/ML concepts, Python, or SQL is a major plus.

What the JD emphasized

  • AI workflows
  • AI platform
  • AI use cases
  • AI capabilities
  • AI-enabled productivity
  • AI/ML tools