Product Manager, AI for Consumer Finance Verticals

DeepMind Technologies Limited

New York (NY)

On-site

USD 217,000 - 236,000

Full time

14 days+

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Benefits offered by this job

Equity
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Benefits

Job summary

DeepMind Technologies Limited in New York, NY is seeking an experienced product leader to define the strategy, roadmap, and features for consumer finance AI initiatives. You will collaborate with Google and DeepMind teams to drive adoption of Gemini for high-priority use cases and shape how users and developers interact with AI-powered products.

The role emphasizes navigating ambiguity in fast-evolving AI contexts, delivering measurable outcomes, and maintaining safety and ethics as core

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or a related technical role.
  • 5 years of experience taking technical products from conception to launch.

Responsibilities

  • Own the roadmap for new consumer verticals across GDM by identifying and prioritizing high-value use cases to address.
  • Partner with AI Research teams to test, tune, and productionize new model capabilities related to consumer verticals.
  • Experiment rapidly with prompting patterns, user flows, and agentic harnesses to demonstrate capabilities and discover new opportunities.
  • Collaborate with Google products (and third-parties) to re-invent, prioritize, and build AI-powered experiences for users (e.g., for consumer finance).

Skills

Product management
Technical product development
Roadmap ownership

Education

Bachelor's degree or equivalent practical experience

Job description

DeepMind Technologies Limited in New York, NY is seeking an experienced product leader to define the strategy, roadmap, and features for consumer finance AI initiatives. You will collaborate with Google and DeepMind teams to drive adoption of Gemini for high-priority use cases and shape how users and developers interact with AI-powered products.

The role emphasizes navigating ambiguity in fast-evolving AI contexts, delivering measurable outcomes, and maintaining safety and ethics as core

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