About the Role
Lead the vision and execution for model-based product initiatives, aligning technical development with business goals and user needs.
Responsibilities
- Define product roadmaps for machine learning models and related systems
- Collaborate with data scientists to translate model capabilities into user-facing features
- Gather and prioritize product requirements from stakeholders and customers
- Work alongside engineering teams to ensure timely and accurate implementation
- Monitor model performance and drive improvements based on feedback
- Identify opportunities where predictive or generative models can create value
- Communicate technical concepts to non-technical audiences effectively
- Manage trade-offs between speed, scalability, and accuracy in model deployment
- Ensure compliance with data privacy and ethical AI guidelines
- Lead discovery efforts to validate assumptions before development
- Coordinate integration of models into existing product ecosystems
- Track key metrics to measure product impact and user engagement
- Facilitate sprint planning and backlog grooming with agile teams
- Advocate for user needs during model design and evaluation phases
- Support go-to-market strategies for model-powered features
- Evaluate third-party tools and platforms for model development and deployment
- Drive alignment across product, research, and operations teams
- Document product decisions and share updates with leadership
- Stay current with advancements in AI and machine learning technologies
- Balance innovation with maintainable, production-grade solutions
Compensation
Competitive salary with performance incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Cross-functional team including engineers, researchers, and designers focused on AI and machine learning systems
About the Models Team
This group focuses on building and refining machine learning models that power core product functionalities. The team works at the intersection of research and production, ensuring models are accurate, efficient, and aligned with user needs.
What We Value
- Technical depth combined with user empathy
- Ownership and initiative in ambiguous environments
- Clear communication across disciplines
Available for qualified candidates
