SeniorAIProductManager

Collaboratively create and champion a clear product vision and strategy for your area

with a focus on building and evolving our AI products

Synthesize qualitative and quantitative insights into problem statements that identify root causes

Shape the next generation of agentic AI products: multi-step reasoning workflows

and autonomous task completion for financial professionals

Demonstrate a working understanding of the challenges specific to building with LLMs

including managing hallucinations

evaluating output quality

and designing for non-deterministic systems

Use confidence-building methods (prototypes

data analysis) to understand how users will interact with AI-powered products before committing to full builds

Use the team's AI evaluation framework (LLM-as-judge protocols

SME eval cycles) to validate and improve the products you ship

Contribute to the data strategy for your product area: annotation quality

ground truth curation

and feedback loops that improve model performance over time

Proactively identify and track metrics that measure client and business benefit

working with the team on continuous model evaluation and improvement

Create a collaborative environment for your squad

providing wider context and clear goals so everyone can do their best work

Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models

and progress transparently across the organisation

Translate complex AI concepts

and limitations into language that non-technical stakeholders can act on

Champion responsible AI practices: transparency in model outputs

and compliance with client expectations around AI-generated content