Zynga is looking for a Senior Product Manager to drive the product vision and strategy for their Platform Machine Learning team, focusing on developing automation tools, data pipelines, and ML models to improve operations and performance across the business.
Requirements
- Good knowledge of agile software development methodologies and software development life cycle.
- Experience with metrics-driven decision-making.
- Prior experience in working with Game and/or Marketing teams or building DS solutions.
- Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment.
- Strong analytical and problem-solving skills
- 5+ years of professional experience in a product management role.
Responsibilities
- Establish the product vision and strategy that will help improve operations and performance across our business.
- Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
- Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions.
- Define key performance indicators (KPIs) and track the impact of products on business outcomes
- Impact the end-to-end product lifecycle of features spanning multiple areas.
- Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem.
- Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies.
Other
- Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business.
- A track record for high performance and team/project leadership.
- Hard-working, performance-driven self-starter and team player.
- Excellent verbal and written communication skills.
