Job Description

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Lead multiple Exponential Pods to deliver AI accelerated software with speed and quality Own delivery outcomes refine agentic workflows and mentor teams in AI native engineering

Key Responsibilities:

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Manage delivery across Pods using Agentic Software workflows Review and fine tune agent workflows for quality velocity and reliability Define and monitor engineering metrics velocity quality agent performance Estimate effort size workstreams and support proposal creation Solve delivery bottlenecks and guide teams through ambiguity Coach engineers and architects on agentic development practices

Technical Requirements:

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Required Skills Delivery Leadership Experience managing software delivery across distributed teams Agentic AI Familiarity Exposure to AI Coding tools such as Copilot Claude Cursor Devin or any similar tools Engineering Metrics Ability to define and track delivery KPIs in AI augmented environments Problem Solving Strong analytical skills and decision making in complex delivery scenarios Client Engagement Comfortable in client facing roles translating tech into business impact

Additional Responsibilities:

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Nice to Have Experience with vector databases semantic search or multi agent orchestration Familiarity with reinforcement learning or cognitive architectures Workshop facilitation and stakeholder alignment skills

Preferred Skills:

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Domain->Product Engineering->Product Testing,Foundational->Product Engineering->Product Development,Foundational->Product Engineering->Product Support,Foundational->Product Engineering->Product Sustenance,Foundational->Product Management->Product Planning