- Deliver a forecasting application to support new product introductions- Use data (traffic dwell demo interactions POS attach inventory fixture constraints) and ML/optimization to recommend merchandising- Forecast outcomes run experiments at scale and keep a tight loop with merchandising compliance and performance telemetry- Define the roadmap and ship APIs/MCP that transform static one-planogram-for-all into adaptive evidence-based assortments- Drive towards a shared vision to build scalable secure and advanced data and analytics capabilities using AI/ML technologies- Conduct market research evaluate and recommend AI/ML technology stack and analytics use-cases to drive efficiencies and optimize resources for the sales channel- Build a deep understanding of the target audience on the demand side (sales executives business analysts leadership etc.) and on the supply side (engineering data governance technology partners etc.)- Manage continuous prioritization of requests for new features and capabilities by partnering closely with multiple cross functional teams around the world- Drive the product roadmap for automating and augmenting decision making using advanced models frameworks and applications - Collaborate with technology partners and internal engineering teams on data architecture standardization and execution of the prioritized use-cases
- 8 years of experience in product management for enterprise-scale products
- Bachelors degree or equivalent experience
- Strong SQL; comfort with Python-based analytics; ability to define metrics (e.g. demo engagement conversion attach)
- Familiarity with supervised models (forecasting propensity uplift) ranking/recommendation and basics of contextual bandits;
- Experience designing and reading experiments at scale (A/B geo experiments sequential tests);
- Expertise with large-scale e-commerce data and AI/ML platforms
- Broad proficiency in product management and design thinking techniques and tools (e.g. vision setting PRDs critical metrics customer journey maps product roadmaps)
- Hands-on experience with reinforcement learning for layout selection demand forecasting and optimization
- Experience with causal inference uplift modeling for rollout decisions by segment or geography
- Familiar with feature stores model/version tracking offline/online skew checks shadow launches automated retraining & monitoring (drift performance guardrails)
- Deep understanding of the modern data and analytics technology stack including Snowflake Amazon SageMaker and Salesforce
- Entrepreneurial approach with an ability to navigate ambiguity and focus on what matters most
- Strong influencing skills to drive alignment across business operational and technical partners
- Exceptional verbal and written communication skills along with the ability to simplify complex ideas for technical and non-technical audiences
- Familiarity with Salesforce Data Cloud and Apple Keynote preferred
- MBA preferred
Required Experience:
IC
- Deliver a forecasting application to support new product introductions- Use data (traffic dwell demo interactions POS attach inventory fixture constraints) and ML/optimization to recommend merchandising- Forecast outcomes run experiments at scale and keep a tight loop with merchandising complia...
- Deliver a forecasting application to support new product introductions- Use data (traffic dwell demo interactions POS attach inventory fixture constraints) and ML/optimization to recommend merchandising- Forecast outcomes run experiments at scale and keep a tight loop with merchandising compliance and performance telemetry- Define the roadmap and ship APIs/MCP that transform static one-planogram-for-all into adaptive evidence-based assortments- Drive towards a shared vision to build scalable secure and advanced data and analytics capabilities using AI/ML technologies- Conduct market research evaluate and recommend AI/ML technology stack and analytics use-cases to drive efficiencies and optimize resources for the sales channel- Build a deep understanding of the target audience on the demand side (sales executives business analysts leadership etc.) and on the supply side (engineering data governance technology partners etc.)- Manage continuous prioritization of requests for new features and capabilities by partnering closely with multiple cross functional teams around the world- Drive the product roadmap for automating and augmenting decision making using advanced models frameworks and applications - Collaborate with technology partners and internal engineering teams on data architecture standardization and execution of the prioritized use-cases
- 8 years of experience in product management for enterprise-scale products
- Bachelors degree or equivalent experience
- Strong SQL; comfort with Python-based analytics; ability to define metrics (e.g. demo engagement conversion attach)
- Familiarity with supervised models (forecasting propensity uplift) ranking/recommendation and basics of contextual bandits;
- Experience designing and reading experiments at scale (A/B geo experiments sequential tests);
- Expertise with large-scale e-commerce data and AI/ML platforms
- Broad proficiency in product management and design thinking techniques and tools (e.g. vision setting PRDs critical metrics customer journey maps product roadmaps)
- Hands-on experience with reinforcement learning for layout selection demand forecasting and optimization
- Experience with causal inference uplift modeling for rollout decisions by segment or geography
- Familiar with feature stores model/version tracking offline/online skew checks shadow launches automated retraining & monitoring (drift performance guardrails)
- Deep understanding of the modern data and analytics technology stack including Snowflake Amazon SageMaker and Salesforce
- Entrepreneurial approach with an ability to navigate ambiguity and focus on what matters most
- Strong influencing skills to drive alignment across business operational and technical partners
- Exceptional verbal and written communication skills along with the ability to simplify complex ideas for technical and non-technical audiences
- Familiarity with Salesforce Data Cloud and Apple Keynote preferred
- MBA preferred
Required Experience:
IC
View more
View less