Job Title- Product Manager - AI
Project Location Hybrid at Oakland CA office 2-3 days onsite in a week
Duration- 12 months contract
Visa- USC/ GC
Make sure candidates are exceptionally communicating well while speaking with my business partner over the video call
Product Manager AI
Key Responsibilities
Partner with engineering and AI/ML teams to integrate third-party (e.g. OpenAI) and internal capabilities
Experience leading cross-cutting programs or technology deployments focusing on emerging technologies and creating new processes for rapid scale-up
Experience deploying software products (applications services etc.) or consumer hardware products
Experience in Design Thinking and customer-first product design processes
Lead the product design business requirements and definition of PG&Es AI Center of Excellence initiatives
Engage with project execution stakeholders for execution and program management
Manage the project timeline budget and advocate for and adjust resourcing when necessary
Identify and prioritize use cases and required capabilities for PG&E AI initiatives
Curate training datasets and tagging structures to fine-tune model performance and ensure desired outputs.
Monitor output metrics such as asset acceptance rate generation cost and asset velocity to optimize tool performance.
Expected Skillset
10 years of product management experience with at least 3 years working in AI/ML creative tech or content automation.
Demonstrated experience with generative AI platforms (e.g. OpenAI Stability Adobe Firefly) and image-related prompt engineering.
Strong understanding of model training pipelines tagging systems and metadata management.
Comfortable leading hands-on delivery in a fast-moving ambiguous space with high visibility.
Excellent stakeholder management and storytelling skills - you know how to align creatives engineers and executives alike.
A plus if they have experience in the utility sector or with Foundry.
Job Title- Product Manager - AI Project Location Hybrid at Oakland CA office 2-3 days onsite in a week Duration- 12 months contract Visa- USC/ GC Make sure candidates are exceptionally communicating well while speaking with my business partner over the video call Product Manager AI Key Resp...
Job Title- Product Manager - AI
Project Location Hybrid at Oakland CA office 2-3 days onsite in a week
Duration- 12 months contract
Visa- USC/ GC
Make sure candidates are exceptionally communicating well while speaking with my business partner over the video call
Product Manager AI
Key Responsibilities
Partner with engineering and AI/ML teams to integrate third-party (e.g. OpenAI) and internal capabilities
Experience leading cross-cutting programs or technology deployments focusing on emerging technologies and creating new processes for rapid scale-up
Experience deploying software products (applications services etc.) or consumer hardware products
Experience in Design Thinking and customer-first product design processes
Lead the product design business requirements and definition of PG&Es AI Center of Excellence initiatives
Engage with project execution stakeholders for execution and program management
Manage the project timeline budget and advocate for and adjust resourcing when necessary
Identify and prioritize use cases and required capabilities for PG&E AI initiatives
Curate training datasets and tagging structures to fine-tune model performance and ensure desired outputs.
Monitor output metrics such as asset acceptance rate generation cost and asset velocity to optimize tool performance.
Expected Skillset
10 years of product management experience with at least 3 years working in AI/ML creative tech or content automation.
Demonstrated experience with generative AI platforms (e.g. OpenAI Stability Adobe Firefly) and image-related prompt engineering.
Strong understanding of model training pipelines tagging systems and metadata management.
Comfortable leading hands-on delivery in a fast-moving ambiguous space with high visibility.
Excellent stakeholder management and storytelling skills - you know how to align creatives engineers and executives alike.
A plus if they have experience in the utility sector or with Foundry.
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