AI Strategist (All Levels)
Leads AI projects for enterprise customers, owning end-to-end engagements from problem identification and workflow embedding to delivery, user adoption, and iteration. Requires client-facing experience, leadership, user empathy, and coding proficiency in Python/SQL.
Key Responsibilities
- Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders
- End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement
- Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer
- Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
- User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value
- Product Feedback: Represent the customer's voice, surfacing pain points that drive future product improvements
Who You Are / Requirements
- Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration
- Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams
- User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs
- Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities
- AI Passion: A passion for AI and optimism about its potential to impact the world
- Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL)
- Travel: Ability to travel 50%
Compensation & Benefits
- Base salary range: $150K – $250K, depending on experience, location, and level
- Meaningful equity
- 100% covered medical, dental, and vision for employees and dependents
- 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
- Access to state‑of‑the‑art models, generous usage of modern AI tools
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