Tech Product Manager

Who you are

• Experience leading AI/GenAI initiatives from use-case discovery and PoC through production deployment (where applicable)

• Strong stakeholder management and requirements elicitation skills, including prioritization of scope for PoC delivery

• Hands-on proficiency with AI tools for mockups, meeting-note synthesis, workflow acceleration, and rapid artifact creation

• Strong understanding of LLM-based systems, prompt design, and RAG architectures

• Experience defining and implementing AI evaluation frameworks, including prompt benchmarking, regression testing, A/B testing, and human-in-the-loop evaluation

• Familiarity with GenAI observability/evaluation tooling (e.g., LangSmith, LangFuse, MLflow, Weights & Biases, Azure AI Studio, OpenAI Evals)

• Experience tracking model/application metrics (e.g., accuracy, hallucination rate, latency, cost per request, drift) and translating them into business outcomes and ROI

• Demonstrated executive communication skills with the ability to present technical and financial insights to senior leadership

• Experience with enterprise GenAI platforms (e.g., Azure OpenAI, OpenAI, Anthropic)

• Familiarity with responsible AI, governance, and risk frameworks

• Background in analytics, data science, or technical product management in regulated/enterprise environments

What the job involves

• We are seeking a GenAI Technical Product Manager to lead the intake, evaluation, and delivery of Generative AI solutions across the enterprise

• This role will partner closely with business stakeholders to understand requirements, prioritize scope for proof-of-concept (PoC) initiatives, and mitigate delivery and adoption risk while showcasing the art of the possible

• The ideal candidate combines strong product leadership with hands-on use of AI tools, practical understanding of GenAI systems and evaluation frameworks, and the ability to translate AI performance into measurable business value ($ impact)

• Lead intake of business ideas and translate stakeholder needs into clear GenAI use cases and product requirements

• Facilitate stakeholder conversations to define and prioritize PoC scope based on business value, feasibility, and risk

• Use AI tools hands-on to accelerate discovery and delivery (e.g., create mockups/prototypes, synthesize meeting notes, extract requirements, draft artifacts)

• Drive PoC execution and decision-making, balancing technical performance with business outcomes and risk mitigation

• Define and run evaluation strategies (quality, reliability, safety, latency, cost), and connect AI metrics to business KPIs and financial impact

• Partner with business PMs to quantify benefits after PoC completion, including productivity gains, cost reduction, risk reduction, and revenue impact

• Communicate recommendations, trade-offs, and quantified value to senior/executive stakeholders

The application process

• End Date: April 24, 2026