Amazon

Manager II - ML Data operations, (GO-AI)

Job Description

At Amazon, we pride ourselves on being Earth's most customer-centric company, and we're searching for exceptional leaders to join our dynamic team. As part of Amazon Robotics within Fulfillment Technologies & Robotics (FTR), our Global Operations-Artificial Intelligence (GO-AI) division plays a crucial role in revolutionizing automation through Computer Vision and Machine Learning technologies.

GO-AI specializes in delivering high-quality data that powers AI and Machine Learning product lifecycles, utilizing both near real-time human-in-the-loop (NRT HITL) and offline annotations. Our work directly impacts Amazon's ability to innovate and improve customer experiences through automated solutions.

We're currently seeking a Manager II, Operations to join our GO-AI team. In this role, you'll lead a team of managers and subject matter experts, driving operational excellence and ensuring business continuity. Your responsibilities will extend beyond day-to-day management to include strategic planning, process optimization, and the development of high-performing teams.

The ideal candidate will excel at orchestrating complex operations, demonstrating strong leadership in managing both people and processes. You'll be responsible for setting and achieving production and quality targets while fostering an environment of continuous improvement. Your ability to communicate effectively, both verbally and in writing, will be crucial as you collaborate with multiple stakeholders across the organization.

This role offers an exciting opportunity to shape the future of AI operations at Amazon while developing your leadership skills in a fast-paced, innovation-driven environment. If you're passionate about building and leading teams, driving operational excellence, and contributing to innovative technology solutions, we want to hear from you.

Join us in our mission to push the boundaries of what's possible in AI operations while delivering exceptional value to our customers worldwide.

Key job responsibilities
Leadership & Team Management:

- Lead and develop a team of 5-7 front-line managers/leads with an indirect span of ~100 team members
- Drive performance management, career development, and succession planning
- Make hiring and performance management decisions in partnership with HR
- Coach and mentor managers to develop leadership capabilities

Operations Excellence

- Own SLA compliance and task completion targets for the organization
- Establish and maintain quality control processes and performance metrics
- Drive continuous improvement initiatives across multiple teams
- Manage sprint planning and team output optimization
- Execute capacity planning and resource allocation

Strategic Initiative Management

- Lead end-to-end process improvement projects affecting multiple teams
- Spearhead global rollouts of new technologies and procedures
- Partner with cross-functional teams to resolve quality and performance barriers
- Develop and implement risk mitigation strategies

Technical Expertise

- Oversee ML data quality procedures and standards
- Drive operational performance metrics and improvements
- Contribute to site-level strategy, capacity analysis and quality improvements
- Manage pilot programs for new technologies and procedures
- Strong analytical and problem-solving abilities
- Excellence in stakeholder management and communication
- Deep understanding of ML operations and data quality principles
- Proven track record of leading large-scale organizational changes
- Experience with Agile/Scrum/application of Gen-AI methodologies to lead AI-assisted operations
- Strong business acumen and strategic thinking capabilities
- Handled Global scope with significant influence on organizational strategy
- Bachelor's degree or equivalent practical experience
- 7+ years of experience in operations management
- 3+ years of people management experience, including managing manager
- Experience with ML operations, data quality management, Fulfillment Operations or related field



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