
AI Deployment Manager
3 days ago
The AI Deployment Manager will oversee the deployment of AI prototypes into production, ensuring seamless collaboration among development, QA, infrastructure, and editorial teams.
Key Responsibilities- Oversight of AI prototype deployment across all teams for smooth, timely releases.
- Management of cross-functional coordination to guarantee on-time delivery of AI tools.
- Development of strategic roadmaps for enhancing and scaling live AI applications.
- Identification of opportunities for improved quality, speed, and cost-effectiveness through testing against emerging AI models.
- Analysis of user feedback to prioritize fixes, refinements, and new features.
- Collaboration with Prompt Engineers and QA to refine datasets for ongoing model optimization.
- Guarantee of maximum uptime and performance of AI applications.
- Primary point of contact for any production tool issues, bugs, or outages.
- Establishment of key performance indicators and utilization of performance analytics to drive continuous improvement.
- Exceptional attention to detail is required.
- Technically-minded product manager who thrives in fast-paced environments with multiple concurrent projects.
- Practical understanding of the modern AI/ML landscape, particularly Large Language Models (LLMs).
- Experience utilizing analytics and user feedback to inform product decisions.
- Outstanding communication skills enabling clear interaction with both technical teams and non-technical stakeholders.
- Exclusive access to publications and products from various sources.
- Employee wellbeing support including advice, facilities, and resources.
- Generous leave options including Parental, Birthday, Volunteer, Career break, and Compassionate leave.
- Opportunities for career growth and recognition.
- Financial guidance to help employees manage their finances effectively.
- Perks and discounts on a range of products and services.
- Community involvement initiatives allowing employees to make a positive impact.
- Workplace inclusion and facilities including employee-resource groups and quiet rooms.
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