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About the role
- Manager of Applied AI/ML engineering leading a multidisciplinary team across different regions. Supporting engineers and data scientists to adapt in a fast-changing technical environment.
Responsibilities
- Manage and grow a team of senior and principal-level engineers and data scientists
- Create clarity in ambiguous technical and organizational environments by helping the team define priorities, execution plans, decision points, and success criteria
- Build operating rhythms that work across India, Europe, and North America
- Partner closely with senior technical ICs to translate strategy and ambiguous opportunities into scoped initiatives, milestones, and measurable outcomes
- Help the team navigate rapidly changing AI/ML engineering practices
- Drive continuous improvement in team processes
- Support cross-functional execution across engineering, data science, product, analytics, infrastructure, quality, and business stakeholders
- Coach team members on communication, prioritization, technical judgment, stakeholder management, and working effectively across distributed teams
- Identify risks, dependencies, bottlenecks, and unclear ownership early, then help the team resolve them pragmatically
- Foster a team culture grounded in curiosity, adaptability, technical rigor, accountability, and psychological safety
- Balance delivery pressure with sustainable team health
Requirements
- Experience managing technical teams in engineering, applied AI/ML, data science, data platforms, or adjacent domains
- Ability to lead senior and principal-level ICs without needing to be the deepest expert in every area
- Strong understanding of modern software, data, and AI/ML delivery practices
- Comfort operating in environments where processes are still forming, changing, or being actively redefined
- High adaptability and curiosity about how AI/ML is changing engineering practice, team structure, delivery models, and quality expectations
- Strong cross-functional leadership skills, especially in ambiguous initiatives involving engineering, data science, infrastructure, QA, product, and business stakeholders
- Excellent written communication
- Excellent verbal communication
- Experience working with globally distributed teams, especially across India, Europe, and North America
- Strong project and execution management skills
- A generalist mindset and willingness to engage across areas such as DevOps, AWS/cloud operations, data systems, infrastructure, quality, and delivery planning
Benefits
- The compensation package may include annual cash bonuses
- Stock grants
- Comprehensive benefits package
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