Netflix is a leading entertainment company on a mission to entertain the world. They are seeking a Product Manager to join their Talent Technology team, responsible for shaping and executing the roadmap for internal talent systems and collaborating with various stakeholders to enhance employee lifecycle experiences.
Responsibilities:
- Develop and own the product strategy, roadmap, and execution for talent management systems, including but not limited to our custom solutions for studio workforce management and feedback & performance
- Deeply understand the needs of HR stakeholders, people leaders, and employees through research, data analysis, and close partnership
- Translate complex business problems and talent strategies into intuitive, user-focused product experiences
- Prioritize competing demands from stakeholders across the organization using a clear, strategic framework
- Partner closely with engineering and design teams to deliver high-quality product experiences and solutions on time and at scale
- Monitor product performance, adoption, and satisfaction using data and use these insights to continuously improve
- Stay current on market trends in HR tech and bring new thinking into our product approach
- Lead product discussions with senior HR, engineering and business leaders, influencing strategic direction
- Have a deep understanding and empathy for customer needs, using user research and creative feedback mechanisms to validate product hypotheses and optimal product solutions
- Be driven to explore advanced AI and large language concepts, and their potential applications in an evolving Talent Technology space
Requirements:
- Bachelor's Degree
- 6+ years of product management and/or data architecture experience with a strong track record in enterprise applications or HR/Talent technology
- Brings a deep appreciation for the complexity and nuance of the talent domain, including the systems and processes that support employee lifecycle events
- Knowledge of Talent Data systems and experience developing analytical systems around talent data lakes
- Experience with GenAI and working with core engineering teams
- Comfortable collaborating with engineers and making tradeoffs based on technical considerations and business priorities
- Ability to operate strategically, envisioning scalable solutions, while also diving deep with engineers into edge cases, technical tradeoffs, and implementation details
- Familiarity with the talent ecosystem: learning systems (LMS), employee engagement
- Self-directed and comfortable operating in a decentralized, fast-paced environment
- Empathy for internal users and ability to turn business needs into delightful product experiences
- Lead product requirements, technical development, product testing, launch, end-user training, and rollout
- Ability to drive and influence business decisions based on data and metrics
- Outstanding written and verbal communication skills