AI Strategist

Role overview Turn strategic customers’ business challenges into custom AI workflows and agents that can be deployed, adopted, and measured in day-to-day operations. The role spans discovery with senior stakeholders, solution design and delivery, customer enablement, and feeding customer needs back into product development.

Responsibilities - Work with customer business leaders and technical teams to identify valuable AI use cases, agree on success measures, and build a case for their impact. - Design, build, test, and deploy tailored agents and workflows, including solutions that draw on structured and unstructured customer knowledge. - Manage engagements from initial exploration through delivery, adoption, and measurement, coordinating with account and technical teammates. - Help customer teams learn to use and improve the solutions; support onboarding and change management. - Share recurring needs and lessons from customer work with product teams, and contribute reusable solution patterns, playbooks, and case studies.

Requirements - Practical fluency with modern AI tools and the ability to experiment quickly and build working solutions. The source says software engineering experience is not required. - Ability to translate unclear business problems into scoped AI use cases, solutions, and measurable outcomes. - Comfort working with structured and unstructured data and with techniques and tools such as vector databases, MCP, RAG, and combined semantic and keyword search. - Ability to engage senior customer stakeholders and collaborate across business, account, and technical teams. - Flexibility to travel for customer engagements.

Nice to have Experience leading cross-functional initiatives or teams.

Benefits and work setup The source describes a globally distributed, remote-friendly team, with customer-facing work shaped by proximity to customers.