Software Engineer II, Data Intelligence Microsoft CorpSoftware Engineer II, Data IntelligenceRedmond, WA$102,100–$202,200 / yearThere 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 $133,800 - $219,200 per year. Partnering with senior engineers and data scientists, you will help apply machine learning models for applications such as anomaly detection and classification and contribute to Generative AI solutions built on Azure OpenAI and the M365 platform.
Senior Software Engineer II, Vehicle Intelligence AxonSenior Software Engineer II, Vehicle IntelligenceSeattle, WA$148,500–$237,600 / yearIf you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors.
CTO - Agentic Process Automation & Intelligence Salesforce.com, Inc.CTO - Agentic Process Automation & IntelligenceSeattle, WA$236,810–$316,750 / yearIn California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $260,470 - $348,390 per year. You will act as a trusted advisor to C-suite executives at our most strategic accounts, translating the complexities of Agentic Process Automation into scalable, high-impact business outcomes.
Senior Business Intelligence Engineer - Agentic Development Microsoft CorpSenior Business Intelligence Engineer - Agentic DevelopmentRedmond, WA$119,800–$234,700 / yearMasters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
Lead, Workforce Intelligence Salesforce.com, Inc.Lead, Workforce IntelligenceSeattle, WA$148,500–$223,900 / yearCross-Functional Collaboration: Collaborate with HR Product, Data Engineering, and partner data teams to align strategies, proactively remove technical and organizational blockers, and ensure the insights roadmap stays on track. You'll combine strong analytical skills, Tableau expertise, and experience with AI and agentic tools to deliver clear, actionable insights to senior leaders, and help shape how those insights are built and delivered as our capabilities evolve.
NewSr PMM Security, Competitive Intelligence Microsoft CorpSr PMM Security, Competitive IntelligenceRedmond, WA$106,400–$203,600 / yearRequired Qualifications: Bachelors degree in Marketing, Computer Science, Business, or a related field and 5+ years of experience in product marketing, competitive intelligence, cybersecurity, or a related field; OR Masters degree and 3+ years of relevant experience; OR equivalent practical experience. We are seeking a Senior Product Marketing Manager, Competitive Intelligence, to develop an evidence-based view of the security landscape and translate technical and market signals into insights that shape strategy, positioning, product direction, and go-to-market decisions across Microsoft Security.
NewPrincipal Applied Scientist, Advertiser Demand Intelligence Microsoft CorpPrincipal Applied Scientist, Advertiser Demand IntelligenceRedmond, WA$142,800–$274,800 / year3+ years of technical leadership experience in an applied science or data science team setting - this could include leading a team of scientists or acting as the key technical decision-maker on cross-discipline projects, with responsibility for delivering major features or systems. Experience with natural language processing and LLMs - a deep understanding of how large language models can be applied, and practical experience either using pre-trained LLM APIs or training/fine-tuning NLP models for tasks such as summarization, question-answering, or conversational interfaces.
Sr. Principal - Intelligence Engineering AIML Slalom IncSr. Principal - Intelligence Engineering AIMLWA$229,000–$281,000 / yearFrom strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. You'll partner with clients to move from early experimentation to production-grade intelligent systems, establishing patterns for scalability, reliability, and governance, while helping shape Slalom's broader AI strategy and capabilities.
Director - Intelligence Engineering Slalom IncDirector - Intelligence EngineeringWA$213,000–$266,000 / yearCultivate a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops. As a Senior Principal in Intelligence Engineering, you will define, design, and lead the delivery of enterprise-scale AI/ML and agentic AI solutions, shaping how intelligent systems are built, deployed, and scaled across organizations.
Senior/Principal Product Manager-Advertiser Intelligence (Diagnostics & Keywords) Microsoft CorpSenior/Principal Product Manager-Advertiser Intelligence (Diagnostics & Keywords)Redmond, WA$119,800–$234,700 / yearKeywords focus: Keyword Opportunity & Planning: Develop a deep understanding of the diverse keyword scenarios advertisers face, and apply AI to identify new monetization and growth opportunities, generate the narratives that help advertisers and sales teams act on them, and power an agentic, multi-turn planning experience - partnering with inventory teams and reimagining keyword planning end to end. You will go deep to diagnose the root causes of campaign issues, decide which checks matter, and define how each is best solved - through a heuristic or an agentic, AI-powered workflow - and own where and how diagnostics surface across the advertiser's journey, including UI, agentic tools, and MCP integrations.
Security Engineer Investigator, Integrity Investigations, Intelligence, and Events MetaSecurity Engineer Investigator, Integrity Investigations, Intelligence, and EventsBellevue, WAProactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence 2. Investigate complex cases to understand how abuse is occurring and implement enforcement strategies to mitigate and/or detect harm 3. Identify areas to automate investigative tooling and tradecraft 4. Analyze and interpret large datasets to advance investigations, quantify trends or support findings 5. This role involves exposure to graphic and/or objectionable content including but not limited to graphic images, videos and writings, offensive or derogatory language, and other potential objectionable material, i.e. child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing **Minimum Qualifications:** Minimum Qualifications: 8.
Director, Product Management - Conversational Intelligence & Voice OutreachDirector, Product Management - Conversational Intelligence & VoiceSeattle, WA$210,000–$250,000 / yearDiversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military. We help revenue organizations run their entire sales motion, from first touch to closed deal to post sales, inside a single platform that goes beyond insights and delivers actions to sellers to move deals and revenue forward.
Director, Product Management – Conversational Intelligence & Voice OutreachDirector, Product Management – Conversational Intelligence & VoiceSeattle, WA$210,000–$250,000 / yearWe help revenue organizations run their entire sales motion, from first touch to closed deal to post sales, inside a single platform that goes beyond insights and delivers actions to sellers to move deals and revenue forward. Experience building conversation intelligence, voice, or dialing products preferred, including familiarity with VoIP and telephony infrastructure, speech-to-text and NLP pipelines, real-time audio and video processing .
Director, Product Management - Conversational Intelligence & Voice Outreach CorpDirector, Product Management - Conversational Intelligence & VoiceSeattle, WA$210,000–$250,000 / yearDiversity and inclusion programs that promote employee resource groups like Outreach Women''s Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military. We help revenue organizations run their entire sales motion, from first touch to closed deal to post sales, inside a single platform that goes beyond insights and delivers actions to sellers to move deals and revenue forward.
Staff Data Scientist - Digital Intelligence Socure IncStaff Data Scientist - Digital IntelligenceSeattle, WAYou will help shape a critical Digital Intelligence capability within Socure's fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.
Workforce Intelligence Engineer Crusoe Energy Systems LLCWorkforce Intelligence EngineerBellevue, WA$145,000–$175,000 / yearWhat Youll Be Working On: People Data Engineering: Contribute to and take growing ownership of our data engineering stack: dbt models in BigQuery, staging layers from sources like Rippling, Ashby, and Visier, and event-grain models that capture workforce changes with the fidelity HR analytics requires. AI-assisted development as a working style: You use tools like Cursor, Claude Code, or equivalent to move faster than traditional engineering timelines - building functional prototypes rapidly, iterating in the open, and scaling your own output beyond what solo engineering typically allows.
Senior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform AppleSenior Machine Learning Engineer, Proactive - Apple Intelligence Data PlatformSeattle, WAD in Computer Science or a related field + Deep understanding of machine learning and deep learning algorithms + Experience in LLM, machine learning, deep learning, information retrieval or natural language processing + Strong analytical and independent problem-solving skills + Experience working in cross-functional teams across product, design, and infrastructure + Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication + Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift + Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering **Preferred Qualifications** + MS or Ph.
Course Instructor Position – Online Master's Degree in Artificial Intelligence DigiPen All JobsCourse Instructor Position – Online Master's Degree in Artificial IntelligenceRedmond, WashingtonLocated in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master’s degree programs in Computer Science and Digital Art. This is an exciting opportunity to interact with, and develop, the next generation of AI practitioners using our cutting-edge curriculum that prepares students for leadership roles in the rapidly evolving field of artificial intelligence.
Course Author Position: Online Master's Degree in Artificial Intelligence DigiPen All JobsCourse Author Position: Online Master's Degree in Artificial IntelligenceRedmond, WashingtonLocated in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master’s degree programs in Computer Science and Digital Art. DigiPen is seeking experienced and passionate practitioners in Artificial Intelligence to develop / author courses for our online Master of Science in Artificial Intelligence (MSAI) program .
Technical Program Manager, Global Risk & Intelligence Services AmazonTechnical Program Manager, Global Risk & Intelligence ServicesSeattle, WADescription The Global Risk & Intelligence Services (GRIS) team is looking for a Technical Program Manager who can independently own and deliver complex, cross-functional projects that enable our GRIS Analysts/Investigators to work more effectively. Manage AWS and Salesforce integrations - Drive technical programs involving AWS services (e.g., Lambda, S3, DynamoDB, QuickSight, SageMaker) and Salesforce (custom objects, APIs, automation).
Senior Talent Intelligence & Market Research Specialist (Recruitment) AECOMSenior Talent Intelligence & Market Research Specialist (Recruitment)Seattle, WAOperating at the intersection of Talent Acquisition, workforce strategy, and AI-enabled research, this role partners directly with TA, Talent Management and business leadership across the enterprise to anticipate talent risks and opportunities, surface where the market is moving, and enable evidence-led decisions on capability, structure, and growth. This is a highly visible Individual Contributor role designed for a sophisticated researcher who blends deep investigative rigor with the executive presence to translate complex market data into actionable hiring strategies for one of the world's largest architecture, engineering, and construction firms.
Software Engineering Manager – Device Intelligence and Geospatial Insights T-MobileSoftware Engineering Manager – Device Intelligence and Geospatial InsightsBellevue, WashingtonThe team collects, manages, and transforms large-scale device diagnostics into reusable data products, geospatial intelligence, and AI-enabled insights that enable teams across T-Mobile to identify customer-impacting issues faster, prioritize network investments, improve device performance, and measure the impact of network changes. The Device Intelligence & Geospatial Insights (DIGI) team transforms those signals into trusted data products, geospatial intelligence, and AI-enabled insights that influence how T-Mobile invests in its network, improves customer experience, and advances Autonomous Network capabilities.
Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI) Amazon.com IncPrincipal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI)Bellevue, WAThe successful candidate will bring deep technical expertise in machine learning, natural language processing, and agentic AI systems, along with the leadership ability to guide talented scientists in pursuing ambitious research that advances the state of the art in autonomous agents, proactive intelligence, and AI-driven personalization. You will technically lead a team of applied scientists to harness state-of-the-art technologies in machine learning, natural language processing, LLM training and application, and agentic AI systems to advance the scientific frontiers of autonomous intelligence and proactive user assistance.
Principal PMT, Creative Intelligence AmazonPrincipal PMT, Creative IntelligenceSEATTLE, WAKey job responsibilities Define product vision and strategy for creative optimization and intelligence systems, creating a clear multi-year roadmap that guides engineering, science, and design efforts across the organization Own the product definition for closed-loop systems that generate, score, serve, measure, and continuously improve creative performance Establish quality and performance frameworks that define success across creative quality, advertiser performance, and system efficiency Drive cross-organizational alignment by influencing priorities and building consensus across multiple engineering, science, and product teams Communicate strategic narratives to senior leadership, contributing to planning cycles and helping executives understand the long-term opportunity in creative intelligence A day in the life In this role, you'll focus on defining the multi-year roadmap for creative optimization and intelligence systems. As a Principal Product Manager on this team, you'll help define how creative systems evolve over the next 3-5 years, working closely with colleagues across science, engineering, and design who are equally committed to transforming how advertisers think about creative optimization.
NewSenior Business Intelligence Engineer, Amazon Customer Service Amazon.com IncSenior Business Intelligence Engineer, Amazon Customer ServiceSeattle, WAYou will operate at the intersection of data engineering, business intelligence, and product analytics, building systems that make matching performance visible, measurable, and actionable for leadership and cross-functional partners across a global CS network serving 500M+ annual contacts. You will be part of a Product and Technology team in Customer Service/ Network Solutions org building the intelligence to understand why a match results in a transfer or repeat contact, applying attribution logic that distinguishes suboptimal matching from planning/supply factors and associate execution gaps.
Senior Business Intelligence Engineer, Devices Demand Science Optimization Amazon.com IncSenior Business Intelligence Engineer, Devices Demand Science OptimizationSeattle, WADesign and build MCP servers and semantic layers that expose core tables, metrics, and business logic to AI agents, including schema documentation, tool definitions, and retrieval-augmented context. Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts, and forecast commentary using LLMs and agentic patterns.
Business Intelligence Engineer II, WFS Product and Analytics Amazon.com IncBusiness Intelligence Engineer II, WFS Product and AnalyticsSeattle, WAThe role offers extensive opportunities to demonstrate key leadership principles including Customer Obsession through candidate centric process improvements, Ownership by taking end-to-end responsibility for analytical deliverables, Dive Deep through comprehensive data analysis, and Deliver Results by providing actionable insights that drive hiring and operational success, whilst ensuring you have the ability to grow, learn and apply the latest tech skills. We provide accurate and timely reporting and analysis for various new processes and initiatives to WFS leadership in order to support data-driven decision-making which drives our business.
Business Intelligence Engineer, Worldwide Customer Service Finance Amazon.com IncBusiness Intelligence Engineer, Worldwide Customer Service FinanceSeattle, WAAs a Business Intelligence Engineer with Worldwide Customer Services Finance team, you will help identify opportunities and implement solutions to improve Finance facing systems and tools. You will be responsible for building and maintaining efficient near real-time data pipelines that bring together important operations and finance data from disparate data sources.
Business Intelligence Engineer, AHS Finance Amazon.com IncBusiness Intelligence Engineer, AHS FinanceSeattle, WAIn this role you will have an opportunity to launch AI-powered features in our financial reporting engine, build GenAI products to drive automated insights, develop AI agents that enable stakeholder self-service, and implement end-to-end intelligent solutions that replace manual reporting workflows. Working within the Pharmacy Finance team, you will leverage generative AI, large language models, and machine learning to develop intelligent analytics solutions, replacing traditional reporting methods with AI-driven automation and insights.
Business Intelligence Engineer, Amazon Shipping BI Amazon.com IncBusiness Intelligence Engineer, Amazon Shipping BIBellevue, WAWe have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
Sr. Business Intelligence Engineer, B2C, Amazon Leo Amazon.com IncSr. Business Intelligence Engineer, B2C, Amazon LeoBellevue, WAThis role requires collaborative autonomy-you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey.
Senior Applied Scientist, Leo Satellite Build Intelligence AmazonSenior Applied Scientist, Leo Satellite Build IntelligenceBellevue, WALead the design, training, and deployment of machine learning models, including LLM-based systems, retrieval models, and task-specific models - Translate ambiguous, real-world manufacturing problems into well-defined scientific problems, modeling approaches, and evaluation criteria - Train, fine-tune, and evaluate models using large-scale, noisy, and heterogeneous datasets with incomplete or delayed ground truth - Develop models over partially observed systems spanning test data, inspection signals, quality records, supplier data, and knowledge systems - Invent and extend approaches for problems such as anomaly detection, root-cause inference, multimodal learning, and generative AI under real-world constraints - Define evaluation frameworks that capture real-world failure modes, distribution shift, and decision risk, and use them to drive model iteration - Make principled tradeoffs between model complexity, data quality, and generalization, and justify when to extend or depart from state-of-the-art approaches - Work closely with engineering teams to deploy models into production systems with monitoring, feedback capture, and continuous retraining - Build closed-loop learning systems where model outputs influence design, manufacturing, and test decisions - Influence scientific direction across teams and mentor scientists and engineers A day in the life You may start by partnering with Quality, Manufacturing, and engineering teams to define and scope a training dataset for a root-cause prediction model, curating labels from historical cases. We are looking for a Senior Applied Scientist to lead the development of models that transform fragmented manufacturing, test, quality, and operational data into a unified, closed-loop intelligence system that directly improves how satellites are built.
Senior Technical Program Manager, Data Intelligence and Governance AmazonSenior Technical Program Manager, Data Intelligence and GovernanceSeattle, WACharacteristics that will make this candidate effective include demonstrated abilities to: [1] dive deep into complex problem spaces while maintaining focus on the larger strategic objectives, [2] build trust and negotiate mutually beneficial outcomes with partners through transparency and delivery on commitments, and [3] communicate with clarity and candor to distill complex topics into simple terms while practicing respect for diverse ideas. Key job responsibilities - You will partner with security and engineering leaders across Amazon business and security teams to work backwards from customer security outcomes, design initiatives to achieve those outcomes, and drive delivery against those commitments.
Data Engineer II, PPE Product Intelligence AmazonData Engineer II, PPE Product IntelligenceSeattle, WAAs a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in machine learning models and ad-hoc data requests. Key job responsibilities - Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
Senior Manager, Product Management, Customer Success Intelligence, AWS Specialist and Partner Organ AmazonSenior Manager, Product Management, Customer Success Intelligence, AWS Specialist and Partner OrganSeattle, WAKey job responsibilities - Own the product vision, strategy, and roadmap for the Customer Success platform - the AI/ML intelligence layer powering customer success at scale across AWS - Lead, coach, and develop a high-performing team of Product Managers, fostering a culture of customer obsession, technical excellence, and continuous learning - Scale Customer Success agents from prototype to production, with measurable quality thresholds and continuous retraining based on outcome data - Partner with internal field roles to translate field observations into agent requirements, and with engineering teams to secure data inputs and integration surfaces - Establish rigorous success metrics for the platform: agent precision/recall, engagement routing accuracy, coverage expansion, and customer value realization - Recruit, hire, and onboard top product and technical talent to scale the team as the platform matures - Deliver through influence - working across multiple VPs and their orgs, product teams, and partner networks to drive requirements and adoption without direct authority - Champion AI-first ways of working across the CS COE and the broader AWS field delivering 3-5x Customer Success coverage through intelligent automation About the team Diverse Experiences AWS values diverse experiences. USA, CA, Mountain View - 227,600.00 - 307,900.00 USD annually USA, NY, New York - 217,700.00 - 294,500.00 USD annually USA, VA, Arlington - 197,900.00 - 267,800.00 USD annually USA, WA, Seattle - 197,900.00 - 267,800.00 USD annually
Business Intelligence Engineer, WWGS Retail BI AmazonBusiness Intelligence Engineer, WWGS Retail BISeattle, WAWhat you'll bring: Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
Business Intelligence Engineer, WHS Data AmazonBusiness Intelligence Engineer, WHS DataBellevue, WAexperience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field Preferred Qualifications - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Description At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and well-being of our teams.
Sr. Business Intelligence Engineer, AWS GDSP A&I AmazonSr. Business Intelligence Engineer, AWS GDSP A&ISeattle, WAAs a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. USA, MA, Boston - 130,400.00 - 176,300.00 USD annually USA, NY, New York - 143,400.00 - 194,000.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Business Intelligence Engineer, Ad Sales Finance Analytics AmazonBusiness Intelligence Engineer, Ad Sales Finance AnalyticsSEATTLE, WAAs part of the team, you will collaborate across functions to solve complex problems such as handling massive data volumes, evolving product hierarchies, and aligning multiple upstream and downstream systems-directly impacting how Ads revenue is tracked, forecasted, and managed at scale. Key job responsibilities Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors.
Sr Business Intelligence Engineer, FBA Analytics AmazonSr Business Intelligence Engineer, FBA AnalyticsBellevue, WABasic Qualifications - 10+ years of professional or military experience - 5+ years of SQL experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.
Sr Business Intelligence Engineer, AWS GDSP A&I AmazonSr Business Intelligence Engineer, AWS GDSP A&ISeattle, WAAs a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. USA, MA, Boston - 130,400.00 - 176,300.00 USD annually USA, NY, New York - 143,400.00 - 194,000.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
SEO Manager, Search Intelligence & AI T-MobileSEO Manager, Search Intelligence & AIBellevue, WashingtonThe right person is genuinely curious about how AI search is evolving, as comfortable digging into performance data as they are discussing visibility trends, and able to communicate complex findings clearly to people across different functions. • Partner with data and analytics teams to translate the Search team's business needs into clear requirements for the reports and dashboards the program depends on, ensuring outputs are accurate and useful.
Manager III, Business Intelligence, Robotics Delivery and Packaging Innovation Amazon.com IncManager III, Business Intelligence, Robotics Delivery and Packaging InnovationBellevue, WAThe Robotics Delivery and Packaging Innovation team is looking for a business intelligence manager to join our team in building and maintaining end-to-end data and analytics solutions that drive business choices. You will spearhead high visibility projects to design, implement and measure effective solutions for large, complex data spanning many sources and data structures using AWS tools.
Business Intelligence Engineer, Listing Analytics Amazon.com IncBusiness Intelligence Engineer, Listing AnalyticsSeattle, WAThe ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users).
Sr. Business Intelligence Engineer , AWS GDSP 3PX Amazon.com IncSr. Business Intelligence Engineer , AWS GDSP 3PXSeattle, WAThis role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO Amazon.com IncBusiness Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FOBellevue, WAThe FO Planning & Forecasting team is seeking a Business Intelligence Engineer (BIE) who combines deep analytical skills with a builder"s mindset - someone who can architect data pipelines, develop automated reporting systems, and apply AI-powered tooling to accelerate insight generation and decision-making at scale. We are part of Amazon"s Supply Chain Optimization Technology (SCOT) Group, which develops systems that optimize inventory placement, transportation, and fulfillment plans across marketplaces worldwide.
Business Intelligence Engineer II, SCOT-AIM MX Amazon.com IncBusiness Intelligence Engineer II, SCOT-AIM MXBellevue, WASCOT"s Regional team for Mexico is seeking an experience and motivated Business Intelligence Engineer who enjoys the challenge of diving into complex problems in the areas of assortment optimization and helping our senior executives make high judgement decisions involving profitability, customer experience, and scalable execution. Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally.
Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo Amazon.com IncSenior Business Intelligence Engineer, ProdOps OAT, Amazon LeoBellevue, WAIts mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. You are a customer-obsessed problem-solver who builds strong partnerships across Leo"s ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, and finance teams.
Business Intelligence Manager, AWS Infrastructure, S&OP Planning Amazon.com IncBusiness Intelligence Manager, AWS Infrastructure, S&OP PlanningSeattle, WAThis role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
Senior Business Intelligence Engineer, Global Logistics Analytics Amazon.com IncSenior Business Intelligence Engineer, Global Logistics AnalyticsBellevue, WAOwn the end-to-end analytics strategy for GL Product & GTM, designing measurement systems, KPIs, and business metrics that guide investment decisions, product roadmaps, and operational performance across ocean freight, air freight, customs clearance, and emerging logistics solutions. Architect and deliver self-service BI tools (dashboards, reports, automated pipelines) that empower a 12-person cross-functional team and senior leaders to independently access and act on data-reducing time-to-insight and enabling faster decision-making.