Forward Deployed Strategist

As a Forward Deployed Strategist, you will embed directly with enterprise customers to turn ambitious AI initiatives into measurable business outcomes.
You will operate at the intersection of strategy, product, technology, and change management, helping customers identify and prioritize high-value AI use cases.
The role combines consulting, product management, project leadership, and hands-on AI enablement in a highly dynamic environment.
You will translate customer needs into clear requirements for engineering teams while maintaining alignment across technical and executive stakeholders.
A major focus will be helping teams move beyond experimentation by building practical AI workflows, driving adoption, and establishing repeatable processes.
You will also identify opportunities to expand successful deployments and bring field insights back to product and deployment teams.
This is a remote, high-autonomy role suited to a structured, technically fluent strategist who enjoys solving ambiguous problems and working closely with customers.

• 3+ years of experience in client-facing consulting, strategy, product management, or project management, with a track record of owning projects end to end.

• Consulting experience with a technical, data, or AI focus at an MBB, Big Four, or equivalent organization is preferred.

• Experience working in a forward-deployed role or at an AI-focused startup is highly valuable.

• Strong hands-on experience using LLMs, AI agents, and AI workflow tools in professional settings, with a practical understanding of their capabilities and limitations.

• Excellent ability to explain complex AI concepts to executives, non-technical users, and engineering teams.

• Strong structured-thinking and problem-solving skills, with the ability to identify the underlying problem behind ambiguous requests and competing stakeholder priorities.

• Demonstrated ability to build trusted relationships with stakeholders at different organizational levels.

• Strong written and verbal communication skills, including experience creating executive presentations, strategic documents, roadmaps, and project plans.

• Technical fluency and experience collaborating closely with software engineering or data teams; coding is not required.

• Ability to understand software, integrations, and data concepts well enough to ask effective technical questions and translate between business and engineering teams.

• Strong project management skills, including the ability to manage timelines, dependencies, risks, and multiple stakeholders.

• Comfortable operating in ambiguous, rapidly changing environments without requiring a highly structured playbook.

• Self-directed, adaptable, curious, and comfortable taking ownership of first-of-a-kind challenges.

• Ability to work effectively across different industries, technologies, customer environments, and project types.

• Experience with account expansion or identifying additional customer opportunities is an advantage.

• Ability to read code or build simple prototypes, automations, or integrations is a plus.

• Previous experience deploying enterprise AI products such as assistants, agent builders, enterprise search, or copilots at scale is a plus.

• Professional experience with tools such as Claude, ChatGPT, Glean, or similar AI platforms is an advantage.

• Product management experience within a software company is a plus.

• Background in enablement, instructional design, or change management for large and diverse audiences is valuable.

• Familiarity with advanced AI concepts such as retrieval-augmented generation (RAG), Model Context Protocol (MCP), and agent orchestration is beneficial.