Sr Product Manager, GenAI Platform & Tools

Company

Federal Reserve Bank of San Francisco

We are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans.

We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District.

That means we seek and appreciate new perspectives.

We respect people for what they do and for who they are.

We build opportunities to learn and grow.

When you join the SF Fed, you become part of a diverse team united in its purpose to promote an economy that works for everyone.

The Federal Reserve Bank of San Francisco is looking for a Senior Technical Product Manager (AI) to join the Data and Analytics Services (DAS) Team.

We empower the Federal Reserve business functions with top-grade data driven insights, enabling them to leverage data as a strategic asset by employing modern cloud data and analytical solutions including AI/ML & GenAI.

This is an exciting opportunity to be part of a team on the forefront of data management and advanced analytics, to contribute towards shaping the AI future for the organization

We empower our people to balance their life and work responsibilities.

That’s why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.

Responsibilities:



* Previous experience as an Agile Product Manager launching products from concept to launch in a complex environment, ideally in the AI space


* Solid understanding of GenAI, ML algorithms, neural networks, AI technologies and their applications, along with an understanding of the data space in the Cloud environment


* Experience with AWS Bedrock, RAG, Fine-Tuning and building guardrails for GenAI products, AI frameworks such as PyTorch and HuggingFace


* Knowledge of foundation models, LLM evaluation techniques (like RAGAS), prompt engineering and AI standard methodologies


* Strong thought leadership to identify innovative use cases, with an ability to influence collaborators and the ability to lead and motivate cross functional teams to deliver solutions


* Familiarity with Cloud data engineering, distributed data processing using Python, Spark, PySpark


* Understand business domain, goals and challenges to explore how AI/ML, GenAI may help solve, through collaborator interviews, design thinking sessions to formulate hypothesis and use cases


* Shape product vision, strategy and roadmaps aligning to business goals collaborating with business collaborators to deliver incremental and continuous business value


* Conceptualize use cases and drive PoCs to demonstrate feasibility and value to obtain agreement from sponsors


* Define product requirements as features, user stories with the quality and performance criteria

Qualifications:


* Bachelor’s degree in Computer Scien...