AI Technical & Product Manager

Seeking an AI Technical & Product Manager that can partner with internal AI platform teams, explore open-source alternatives and build AI agents for extended business unit.

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

As the AI Technical & Product Manager, you ll drive the development and delivery of cutting-edge AI products, with a strong focus on hands-on engineering, rapid prototyping, and stakeholder alignment.

The team balances quickly bringing value and making decisions that scale into a large agent system / workflow or quickly pivot to a better solution after business feedback.

Collaborating with AI / ML teams, data scientists, and infrastructure organizations.

Lead End-to-End Product Development : 8+ years of experience in full lifecycle of Software Engineering product development (AI preferred), from ideation and requirements gathering to prototyping, implementation, and production launch Hands-On Engineering : 4+ years of development skills building backend REST API services using Python (FAST API preferred) LLM-Focused Solution Design : 2+ experience building, architecting, or fine-tuning LLM-based solutions, with practical experience in GenAI Rapid Prototyping : Build functional prototypes that demonstrate core ability to use frameworks (e.g., LangChain, LangGraph), and a working knowledge of ML techniques Stakeholder Alignment : Facilitate alignment across business, design, and engineering teams, ensuring clarity of vision, requirements, and deliverables throughout the product lifecycle.

Scrappy, Results-Oriented Execution : Embrace a pragmatic approach to problem-solving prioritizing speed, usability, and impact over.

perfection, and iterating quickly to get products into production.

Practical experience with asynchronous programming, type safety, threading models, state machines and data structures Experience with managed cloud platforms such as AWS, Google Cloud Platform, Azure Proficiency with containerized technologies (Docker) and familiar with orchestration platforms (Kubernetes) Bachelor s degree in computer science, Engineering, or related field, or equivalent professional experience Submit resume to Type : Contract Duration : 12 Months + (with possible extension) Location : Cupertino, CA Pay Rate Range : 65-80 / h (DOE) David Gutierrez x110