Deployment Strategist - AI-native operating system for supply chain enterprises

Role: Deployment Strategist

Location: San Francisco, CA (hybrid, with customer travel)

Industry: AI / Supply Chain Technology

Firm Style: High-growth, VC-backed startup

Role Overview

As a Deployment Strategist, you’ll sit at the intersection of strategy, product, and client success—helping customers unlock the full potential of the company’s AI platform. You’ll partner directly with users and decision-makers to understand their needs, translate insights into solutions, and shape how the technology is applied to their most critical business challenges.

You’re a Great Fit If You:

• Have a strong intuition for how software can solve real‑world problems.
• Excel at communicating with both technical and non‑technical audiences.
• Enjoy working hands‑on with customers—from frontlines to executives.
• Thrive in fast‑moving environments and are comfortable with ambiguity.
• Love diving into messy data and complex systems to bring clarity and structure.
• Are energized by helping organizations operationalize and scale new technology.

Your Responsibilities:

• Partner with customers to understand workflows, goals, and pain points—often embedding directly with their teams.
• Collaborate with Forward Deployment Engineers to scope, prototype, and deliver solutions using the company’s AI platform.
• Identify and interpret key datasets that drive customer decision‑making and integrate them into scalable pipelines.
• Design and refine workflows that solve meaningful problems and scale across functions.
• Lead onboarding and training to ensure user adoption and long‑term impact.
• Present findings and strategies to stakeholders—from operators to executives.
• Drive customer expansion by identifying new use cases and shaping account growth.

Where You’ll Make an Impact:

• Act as a trusted partner to enterprise clients, translating their operational challenges into tailored AI solutions.
• Shape the future of how global logistics organizations adopt and scale AI.
• Influence product direction through direct feedback from customer use cases.
• Build scalable playbooks for deployment and adoption as the company enters its next phase of growth.