Director Product Management, AI Products
GE HealthcareSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Bachelor's degree or equivalent practical experience
- 10 years of experience in product management or related technical role
- 5 years of experience taking technical products from conception to launch
- Demonstrable, extensive experience with developer platforms and building exceptional consumer experiences
- Comfortable driving innovation in a rapidly evolving AI space where foundational technologies and user needs co-evolve
- Deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), with ability to intuitively understand and predict emerging model capabilities
- Experience leading cross-functional teams (Engineering, Research, UX, Legal, etc.)
- Strong skills in clear communication, strategic narratives, and go-to-market strategies
Responsibilities
- Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via a software development kit (SDK) for first-party apps
- Identify and prioritize high-value, engaging use cases that leverage the power of Gemini to make everyday apps more powerful, personalized, and proactive
- Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, bridging AI's technical complexity with organizational goals and user needs through clear communication and strategic narratives
- Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance
- Maintain deep technical expertise in advanced AI; drive rapid prototyping cycles, gather targeted user feedback to iteratively refine AI products and respond to technical breakthroughs
- Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key responsibilities of this Product Manager role?
Key responsibilities include defining and championing a product vision and roadmap for extending LLM capabilities via an SDK, identifying high-value use cases for Gemini in everyday apps, leading cross-functional teams to launch features, and driving go-to-market strategies.
What kind of experience is needed for this position?
The role requires a unique blend of experience with developer platforms and building exceptional consumer experiences, comfort driving innovation in rapidly evolving AI technologies, and keen insight to translate user needs into intuitive AI solutions.
Is this role remote or office-based?
This information is not specified in the job description.
What is the salary or compensation for this position?
This information is not specified in the job description.
What is the team culture like at DeepMind for this role?
You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI, within a collaborative environment of scientists, engineers, machine learning experts focused on advancing AI for public benefit, safety, and ethics.
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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