PRX - AI Productmanager

AI Product Manager

As an AI Product Manager, you will be responsible for defining the strategy, roadmap, and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with managing large-scale, complex production environments. You will partner closely with engineering, production support, and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity, reliability, and safety. You will be the central hub for the product, bringing consistent product management practices—from discovery and planning to launch and iteration—to successfully deliver business-aligned outcomes.

What you'll do:

• Define Product Vision and Strategy: Develop and champion the product vision, strategy, and roadmap for agentic AI systems.
• Lead the Product Lifecycle for LLMs: Guide the end-to-end product lifecycle, from discovery to launch and iteration.
• Drive Integration and Ecosystem Strategy: Define and prioritize integrations with key runtime ecosystems, including observability, incident management, and deployment systems.
• Champion the Voice of the Customer: Collaborate directly with production engineers and application teams through deep user research.
• Own AI Safety, Reliability, and Governance: Establish and own the product framework for AI safety, reliability, and governance.
• Manage Product Performance and Scale: Define and monitor product SLOs and key performance indicators (KPIs) for cost, latency, and user satisfaction.
• Oversee Data and Knowledge Strategy: Own the product strategy for the RAG pipeline.
• Drive Product Excellence and Raise the Bar: Lead product design reviews, champion data-driven experimentation, and instill high-quality product management practices.

Role Requirements: understand what skills, experience, and qualities you are looking for. A bachelor's degree in Engineering, Computer Science, or an equivalent qualification; an overall experience of ~10 to 15 years with a significant portion in a product management capacity. Must have strong practical experience in leading large, multi-team product initiatives, preferably for AI/ML or technical cloud-based products (e.g., AWS, Google Cloud). A deep understanding of the AI/ML development lifecycle, including LLMs, agentic architectures, RAG pipelines, and MLOps. While hands-on coding is not required, the ability to engage in deep technical discussions is essential. Demonstrated ability to engage with engineering teams, fellow product managers, and end-users to understand complex workflows, identify opportunities, and create clear, prioritized product roadmaps. Excellent oral and written communication skills, with the ability to articulate a complex technical vision to both technical and non-technical senior leadership. Proven ability to work strategically and collaboratively across teams in fast-paced and constantly changing environments. Strong analytical skills, with experience defining and tracking product metrics to make data-informed decisions. Proven ability to influence cross-functional teams and demonstrate product leadership without direct authority.