AI Enablement Lead Product & Engineering

About the Role

We are seeking an experienced AI Enablement Lead to bridge the gap between Product vision and Engineering execution, driving the adoption and integration of advanced AI capabilities across our platform. This is a high-impact role where you will define the technical strategy for AI features that directly enhance our core product offering.

Responsibilities

• Define and drive the technical roadmap for AI/ML features in close collaboration with Product Management.
• Lead cross-functional engineering teams (Data Science, Backend, Frontend) to ensure successful, timely delivery of AI-powered products.
• Establish best practices, tooling, and infrastructure (MLOps) required for scalable, reliable, and ethical deployment of AI models.
• Act as the primary technical liaison between AI research/data science teams and core product engineering teams.
• Oversee the technical quality, performance, and operational readiness of all AI-enabled components.

Requirements

• Proven experience (5+ years) in a technical leadership role, preferably bridging Product and Engineering functions.
• Deep understanding of the Machine Learning lifecycle, including model training, deployment, monitoring, and governance (MLOps).
• Strong technical background in software engineering, capable of reviewing architecture and making critical technical trade-offs.
• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Experience working with large-scale data systems and cloud environments (e.g., AWS, GCP, Azure).

Nice-to-Haves

• Direct experience with generative AI models and prompt engineering strategies.
• Background in building developer platforms or internal enablement tools.
• Familiarity with regulatory compliance frameworks related to AI ethics and data privacy.