AI Delivery Lead
Gradient LabsNew York, New York, United States • London, England, United Kingdom
Posted March 27, 2026
Full Time
About the Company
Gradient Labs specializes in designing and building custom digital experiences across web, iOS, and physical platforms. Leveraging expertise in UI/UX, data visualization, and interactive storytelling, the firm delivers custom web applications, touch‑driven iPad experiences, and dynamic reporting dashboards that address complex information challenges. Their focus on elegant, perfectly‑tuned solutions sets them apart, enabling clients to communicate data and narratives in engaging, user‑centric ways. By blending design thinking with cutting‑edge technology, Gradient Labs consistently transforms abstract data into intuitive, interactive products that resonate with end‑users.
Job Description
As an AI Delivery Lead, you'll help enterprise customers achieve real results through automation, owning end-to-end delivery and integration of our AI platform, and driving strategic outcomes that matter.
Requirements
- Proven Tech Delivery: Experience in forward-deployed, customer-facing roles at high-growth tech companies.
- Results-Driven Ownership: Proven ability to own and deliver complex, multi-stakeholder projects end-to-end.
- Structured Adaptability: Thrives in ambiguity, proactively creating structure and driving clarity where none exists.
- Technical Acumen: Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams.
- Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery...) to surface insights and guide decisions.
- Clear Communication: Communicates clearly and confidently across all audiences, internal and external, including technical teams and senior leadership.
- Customer-Centric: Deeply customer-obsessed, driven by delivering real, measurable business outcomes and value.
- Pragmatic Problem Solver: Entrepreneurial mindset used to find creative, pragmatic solutions balancing goals with feasibility.
Benefits
- We don't mention specific benefits, but it's implied to be a desirable place to work.
