Primary responsibilities:

• Drive the execution of cross-functional ML Platform initiatives at Netflix across the various stakeholders for MLP, from Consumer Engineering, Algorithms Engineering, Studio and Content engineering and Data Science organizations
• Establish and follow-through on regular measurement of success metrics like adoption and productivity
• Define and drive effective execution processes on the ML Platform team
• Manage and oversee operations including SLA definition & measurement, cost optimization, and data governance
• Apply strong technical, organizational, and communication skills to devise sound technical approaches to abstract goals.
• Establish an overall plan for numerous teams to rally around and successfully launch new productivity improvements for Netflix engineers
• Own regular communication to senior Netflix management as well as broad communication to MLP consumers at Netflix
• Identify and mitigate risks to execution in large-scale projects

Skills and Qualifications:

• 10+ years of experience in product management, technical program management, software engineering, or leading software development projects.
• Extensive experience working and innovating on developer platforms, especially those for machine learning
• Knowledge and experience in defining, measuring, and improving developer productivity
• Demonstrated initiative in clarifying ambiguous projects and driving them to completion
• Strong technical background for close collaboration with engineers and ML practitioners both working on and consuming the platform.
• At minimum, familiarity with Big Data technologies like Spark (and, preferably, with ML technologies like Tensorflow / PyTorch). Candidates should also have strong familiarity with cloud computing environments & tech (e.g. AWS, GCP, Azure)
• Mastery of development process management (e.g. Agile, Scrum) and the related tools (e.g. Jira)
• Demonstrated leadership experience working effectively with engineers, data scientists, ML practitioners, Product Managers, etc. 
• Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact.
• Strategic thinking and ability to incorporate larger business context into algorithm and product development.
• Experience in identifying tradeoffs, surfacing needs for clarity, and driving decision-making