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
Research Interns put inquiry and theory into practice, collaborating with researchers and contributing to AI agent development.
Compensation
The base pay range for this internship is USD $6,810 - $13,480 per month. 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 $8,920 - $14,610 per month.
Responsibilities
Conduct research and author peer‑reviewed publications
Build and prototype AI agent systems
Evaluate and improve agent performance
Collaborate across research and product teams
Present findings and contribute to community life
Requirements
Doctorate Degree program in Computer Science, Software Engineering, Electrical Engineering, or related STEM field
Nice to have: At least 1 year of research experience
Nice to have: Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM, AAAI, IJCAI, KDD, or SIGIR
This global strategy and operations leadership role is principally focused on governing and managing enterprise value creation of procured goods and services initiatives at the enterprise level.
Compensation
The anticipated base salary range for this position is $158,000.00 to $273,000.00. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program as well as participation in the share incentive plan. In addition,
In addition to base salary, this position is eligible for participation in a highly competitive bonus program with the possibility for overachievement based on performance and company results. In addition, The Estée Lauder Companies offers a variety of benefits to eligible employees, including health insurance coverage (medical, dental, and vision insurance), wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.
Responsibilities
Accelerate the savings pillar of the Procurement strategy by leading creative design/value thinking across brands and categories
Lead cross‑functional program management and enterprise savings digital management platforms
Align stakeholders around a shared digital roadmap, governance model, and investment priorities
Facilitate upstream ideation workshops and build deep engagement with Brand/Function teams
Orchestrate across GSM, Brands, Packaging, R&D, Engineering, and suppliers to execute downstream value realization
Lead advanced data analytics and business intelligence initiatives, partnering with business leaders and stakeholders to identify strategic analytics needs and translate them into actionable technical requirements.
Locations (2)
Philadelphia, Pennsylvania, United States
Irvine, California, United States
Compensation
This job can be performed in California with a good faith estimated pay range upon hire of $85,600.17 USD - $158,518.84.
Responsibilities
Lead engagements with business leaders and stakeholders to identify strategic analytics needs, define project scope, prioritize requirements, and translate business objectives into actionable technical specifications.
Lead complex, cross-functional analytics initiatives from requirements gathering through analysis, validation, and delivery, ensuring high-quality solutions that address business needs.
Identify and evaluate relevant data sources and recommend alternative data solutions to ensure comprehensive, accurate, and reliable analytics.
Senior Applied Scientist on the Agentic AI team at Zillow, responsible for end-to-end applied science problems, developing and evaluating machine learning and LLM-based approaches to improve customer experiences.
Compensation
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $164,400.00 - $262,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $156,200.00 - $249,400.00 annually. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Responsibilities
Own ambiguous applied-science problems end to end, from identifying an opportunity and forming a hypothesis through data analysis, modeling, experimentation and production iteration
Develop and compare machine learning and LLM-based approaches to improve customer experiences, establishing useful baselines, adapting relevant research and adding complexity when the evidence supports it
Build reliable datasets and offline evaluations, and design online experiments that connect model quality to meaningful customer and business outcomes
Partner with engineering, product, design and science teams to turn promising methods into reliable production capabilities, balancing quality, safety, latency and cost
Write maintainable Python and SQL, contribute production-ready scientific components, and share methods, findings and technical decisions with other scientists and engineers
Design and develop next-generation scientific workflow platform integrating sequencing data, synthetic biology expertise, public biological knowledge, and AI-enabled analytics.
Compensation
United States Base Compensation: $107,000.00 - $134,000.00
Responsibilities
Design and implement reusable algorithms, services, and workflow components to evaluate sequence designs, construct risks, manufacturability, and functional performance.
Build configurable analytical frameworks that integrate public scientific resources, proprietary algorithms, and standardized decision rules to support sequence and vector design workflows.
Develop customer-facing analytics, visualizations, APIs, and self-service tools that expose platform capabilities and turn biological data into actionable insights and recommendations.
Architect, develop, validate, and maintain scalable workflows for long-read, short-read, Sanger, and hybrid sequencing applications, including automated quality control, assembly, variant analysis, exception handling, and results delivery.
Apply AI and machine learning to automate workflow orchestration, data interpretation, quality assessment, troubleshooting, summarization, and continuous platform improvement.
Requirements
PhD in bioinformatics, computational biology, genomics, molecular biology, biostatistics, computer science, or a related field
Senior Biostatistics Manager responsible for design, analysis, and strategic input to clinical studies, guiding trial strategy and regulatory interactions.
Compensation
The expected salary range for this position based on the primary location of South San Francisco, CA is $198,000-$231,000.
Responsibilities
Provide statistical support and strategic input to clinical development plans
Draft and review protocols, SAPs, and CRFs
Perform or support statistical analyses per SAPs
Collaborate with study teams to meet deliverables
Summarize findings and translate complex outputs into actionable insights
Seeking an experienced research data analyst to support a research program focused on the epidemiology of vascular contributions to cognitive impairment and dementia. The role involves managing, coordinating, and transforming multiple longitudinal cohort studies including neuroimaging and blood-based biomarkers.
Compensation
The starting salary for the position is $60,000 annually for a Data Scientist I, $75,000 annually for a Data Scientist II, and $88,000 annually for a Data Scientist III, but is negotiable based on experience and qualifications.
Responsibilities
Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or researchers
Documents approaches to address research questions
Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Organizes and automates project steps for data preparation and analysis
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions.
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing, data storage, transformation, serving, analytics and downstream consumption.
Provide architecture leadership for ongoing Data Platform production support and operations.
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, and data quality.
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents.
This position serves as a data science team member in the company delivering leading edge machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders.
Locations (3)
Chicago, Illinois, United States
New York, New York, United States
San Francisco, California, United States
Compensation
Chicago, IL in USD per year is: $101,000 - $152,000.
New York, NY/ San Francisco, CA in USD per year is: $122,000 - $162,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
Responsibilities
Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
End to end feature engineering - brainstorm, create, validate, down-select, etc.
Write production level code in a dynamic, start-up environment
Perform advanced analysis of large, complex datasets to uncover actionable business insights, identify performance drivers, and support strategic decision-making.
Query, integrate, and analyze data across disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS, optimizing data processes and analytical workflows for efficiency and scalability.
Executive Director Global Supplier ManagementNewEstée Lauder Companies · Long Island City, US
BioinformaticianNewAzenta Life Sciences · South Plainfield, US