About the Role: We are seeking a forward-thinking skilled to step into the role of a Context Product Manager. In this role, you will lead the strategic pivot from traditional, output-based project documentation toward product-centric, outcome-driven value delivery focused on ROI, user adoption, and customer satisfaction. You will serve as the primary "Value Maximizer" for your squad, combining deep contextual business analysis with advanced Generative AI capabilities to build future-ready solutions.
Key Responsibilities
- Contextual Business Translation: Translating high-level industry problems and domain-specific business needs into concrete data science, prompt engineering, and LLM-centric requirements.
- AI Value Maximization &
- Backlog Engineering: Prioritizing product backlogs based on algorithmic complexity, data availability, and business impact to maximize the ROI of AI features.
- AI Requirements &
- Synthetic Stories: Discovering and managing requirements specifically tailored for machine learning and cognitive computing systems. Authoring synthetic user stories, acceptance criteria, and edge cases for systems where the output is probabilistic rather than deterministic.
- Process Re-imagining &
- Agentic Workflows: Re-engineering current-state process flows to embed agentic workflows and automated decisioning. Mapping out human-in-the-loop feedback mechanisms for continuous model optimization cycles.
- Governance &
- Probabilistic SLAs: Defining product success and performance guardrails for non-deterministic AI outcomes, such as accuracy thresholds, latency, and hallucination rates. Translating organizational ESG, compliance, and responsible AI guardrails into specific system requirements.