Principal Product Manager to identify and build the next generation of content products and reusable intelligence systems, focusing on AI-native products and personalized intelligence for enterprise workers.
Compensation
The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Responsibilities
Own the vision and strategy for new content intelligence products, identifying unmet customer needs and technology shifts.
Build enterprise content intelligence as the first product focus, including personalized company and industry briefings, watchlists, and experiences.
Translate capabilities across user understanding, knowledge graphs, content agents, ranking, quality, and interactive components into coherent, reusable product systems.
Lead rapid customer discovery, prototyping, and experimentation to find product-market fit.
Partner deeply with design, engineering, applied science, editorial, and canvas product teams to integrate new products into Edge, Windows, MSN, and Copilot.
Requirements
Bachelor's Degree
Nice to have: 15+ years experience in product management
The total cash range for this position in San Jose is $249,000.00 to $348,500.00. Employees in this role have the potential to increase their pay up to $398,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Set the architectural vision, design, and delivery approach for complex software solutions across multiple technical domains, enabling AI and machine learning powered loyalty offers and experiences
Drive system design, API development, and data modeling so our platforms remain secure, maintainable, and able to perform at scale
Take on the most technically demanding problems across the loyalty experience ecosystem, stepping in where existing solutions fall short and closing critical gaps
Mentor and raise the bar for engineering teams, fostering technical excellence and encouraging genuine innovation across projects and domains
Elevate and simplify, always keeping the underlying business problem and customer metrics in view rather than treating architecture as an end in itself
Requirements
Bachelor's degree in Computer Science or a related technical field
Data Scientist responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience within the supply chain domain.
Responsibilities
Design and develop algorithms and models to use against large datasets to create business insights
Serve as a technical lead for analytics projects
Lead small projects and work independently on solution development
Execute tasks with high levels of efficiency and quality
Select, utilize and interpret advanced analytical methodologies
Requirements
Bachelor's degree in a quantitative field (Computer Science, Math, Statistics, etc.)
Nice to have: Masters in a quantitative field
Nice to have: 4+ years of experience in business intelligence and analytics
Lead applied data science and machine learning projects across Europe and the US, owning end-to-end ML solutions for automotive parts software.
Responsibilities
Work on search and ranking, classification and matching, forecasting, customer and partner analytics, anomaly detection, LLMs and agents, A/B testing, recommendation engines
Build and deploy models in production, including feature pipelines, training pipelines, deployment, drift monitoring, and retraining
Measure impact with offline evaluation, shadow mode, A/B tests, and causal methods
Present results and tradeoffs to product and business stakeholders
Retail Sales Associate Mufreesboro NorthfieldSun Tan City - Dual Leverage Group · Murfreesboro, US