Technical Artist
RunwaySalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Technology, Creative IndustriesIndustries
Requirements
- Bachelor’s degree or equivalent practical experience
- 5+ years of experience in Program Management, Production Management, or Partnerships Operations, ideally within the Media & Entertainment or Creative Tech industries
- Demonstrated experience managing the lifecycle of creative projects (from pre-production to post-production and archiving)
- Technical Fluency: Ability to understand Generative AI concepts (e.g., language models, diffusion models, latent space) well enough to communicate their impact on professional creative needs
- Fluency in Media & Entertainment concepts including color space, dynamic range, bit depth, LUTs, compositing, rotoscoping, texturing
Responsibilities
- Partnership & Engagement Management: Drive the execution of multiple concurrent creative collaborations, serving as the primary operational link between external production partners and internal GDM teams. Ensure partners have the necessary tool access and compute resources and triage blockers immediately
- Project Lifecycle: Maintain a schedule of engagements to monitor resource utilization and forecast team availability
- Asset Governance: Define and implement a robust archiving strategy, establish databases to track workflows, shots, and prompts for provenance and posterity, and manage "cold storage" protocols for asset delivery to ensure future accessibility
- Production Systems Development: Lead the evaluation of production management infrastructures. Contribute to the strategy for AI-first production tools. Facilitate team access to production software like Shotgrid/Lucid Link etc
- Feedback Loop Management: Systematize the flow of feedback from professional creatives back to our research teams. Ensure that insights are captured and translated into prioritized roadmap items for the ProModel and ProTool teams
- Launch Management: Work with internal partners to drive approvals and complete necessary steps to launch bespoke models
- Operational Excellence: Manage timelines, milestones, and deliverables for high-stakes engagements. Anticipate risks in the creative production pipeline and coordinate across Legal, Marketing, and Partnerships to ensure smooth "Go-To-Market" moments
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary or compensation for the Program Manager role?
This information is not specified in the job description.
Is this Program Manager position remote or does it require office work?
This information is not specified in the job description.
What key skills are required for the Program Manager, Frontier AI role?
Key skills include partnership and engagement management, project lifecycle management, asset governance, production systems development, feedback loop management, launch management, and operational excellence in handling timelines, milestones, and risks.
What is the company culture like at Google DeepMind?
Google DeepMind fosters a collaborative team environment of scientists, engineers, machine learning experts, and more, focused on advancing AI for public benefit, scientific discovery, and prioritizing safety and ethics.
What makes a strong candidate for this Program Manager position?
A strong candidate excels at driving operational success in high-touch creative partnerships, managing full project lifecycles from greenlight to launch, bridging research and real-world workflows, and systematizing feedback loops while ensuring timely delivery and operational excellence.
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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