Technical Producer II - League Studios, Machine Learning

Riot Games • Los Angeles, CA

11d

About The Position

As Technical Producers at Riot, we lead passionate technical teams to deliver products and services that maximize developer and player value. We guide development, clear blockers, and push projects across the finish line while making sure that our teams are sustainable and have a great collaborative environment.
As a Technical Producer in the Tech Foundations organization in League Studio, you will be supporting the Game Machine Learning team, a team of data scientists working on machine learning and data-powered products across both League of Legends and Teamfight Tactics. You will partner with Product and Machine Learning Engineering Leads in the development of products such as matchmaking, recommenders, and personalization systems. You will set team direction to ensure project objectives are met, manage the day-to-day work, be the custodian of delivery processes internal to the team, and ensure that collaboration with external teams runs smoothly. You will oversee delivery, build work systems, manage product backlogs, maintain project execution, and provide business unit leadership with visibility on complex deliverables. You will also ensure the team works at a sustainable pace and continuously improves. You will report to the Manager of Technical Production on the team.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience with strong technical knowledge and problem-solving skills
• Minimum of 4 years of experience as a Producer, Product Manager, or Development Manager on medium to large teams working on complex technical problems
• Experience working closely with Machine Learning teams, especially Data Scientists and Machine Learning Engineers.
• Experience applying Agile and Lean development processes such as Scrum, Kanban, or Extreme Programming
• Experience managing the priority of team and product backlogs, writing user stories, and leading estimation and scoping
• Knowledgeable in Jira use, configuration, and limitations
• Experience working in a continuous delivery/deployment environment
• Skilled at managing diverse stakeholders, building alignment across teams, and navigating complex organizational dynamics to move initiatives forward in an environment with multiple priorities and perspectives
• Understand product management and how to navigate around constraints while finding balanced solutions

Nice To Haves

• Experience working with game teams building platform systems, game features, or game experiences
• Experience working on or with a team that deploys machine learning systems at scale

Responsibilities

• Run day-to-day team production operations and development processes for the team
• Facilitate the team in making clear, actionable commitments, and ensure successful delivery through effective project management, leveraging available data and tools
• Troubleshoot delivery risks by reviewing release plans and team roadmaps, identifying optimization opportunities
• Own the work system for the team (rituals, tracking, reporting, and partner management)
• Work with data scientists and machine learning engineers to understand technical risks and complications, communicating these effectively to stakeholders and dependency teams
• Advocate for and clearly communicate the product direction set by your Product partner
• Partner with Machine Learning Engineering Lead and Product lead to resource projects, monitor team health, and align on team composition, ensuring the team is set up to deliver against priorities successfully
• Proactively contribute ideas across teams and disciplines, expanding impact beyond your immediate area of ownership

Benefits

• Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules.
• We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level