Director Product Management, AI Products
GE HealthcareSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Bachelor's degree or equivalent practical experience
- 7+ years of experience in product management or related technical role
- 5 years of experience taking technical products from conception to launch
- Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs)
- Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products
- Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts
- Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
- Proven ability to prepare and deliver compelling technical presentations to senior leadership
Responsibilities
- Define and champion a clear product vision, roadmap, and strategic plan for personalizing the Gemini App, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs
- Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis
- Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative personalization features
- Own and drive go-to-market strategies for new personalization features and products, including strategic positioning, market understanding, and impactful messaging
- Own and drive the development of robust evaluation methods and success metrics for personalization, converting performance insights into impactful product enhancements
- Use quality-driven insights to prioritize product improvements and set up a framework for expanding personalization to additional Gemini App capabilities and surfaces
Skills
Product Management
AI Personalization
Product Vision
Roadmap Planning
User Experience
Technical Architecture
Model Evaluation
Partner Alignment
Machine Learning
Gemini Models
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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