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.
SEO Manager, Search Intelligence & AI T-Mobile US IncSEO Manager, Search Intelligence & AIBellevue, WA$75,800–$136,800 / yearThe 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.
Lead, Workforce Intelligence Salesforce IncLead, Workforce IntelligenceSeattle, WA$117,400–$177,600 / 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.
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.
Principal 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.
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.
Director, Strategy (Artificial Intelligence) Expedia Group IncDirector, Strategy (Artificial Intelligence)Seattle, WA$207,500–$290,500 / yearExpedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey.
CTO - Agentic Process Automation & Intelligence Salesforce IncCTO - 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.
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. Influence & Collaboration: Proven ability to navigate a matrixed environment, collaborate cross-functionally, and translate technical complexity into clear business value.
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.
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).
Apple Intelligence Senior Cloud Performance Engineer AppleApple Intelligence Senior Cloud Performance EngineerSeattle, WAIn-depth professional experience with cloud operations + Strong understanding of hardware components and hardware/software interaction + Proven understanding of network technologies, protocols and procedures for iOS and macOS + Proven track record to own a complete functional area of an application or product + Able to work independently and should be dedicated + Excellent communication & interpersonal skills + Comfortable with troubleshooting/debugging/reproducing issues + Scripting and programming skills in C/C++, Python, Swift, SQL, Shell + M.S., or Ph. **Minimum Qualifications** + 10+ years of experience as a Performance Engineer + Strong experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across both traditional ML systems and GenAI LLMs.
Principal Artificial Intelligence Software Engineer Alaska Airlines IncPrincipal Artificial Intelligence Software EngineerSeatac, WA$141,250–$211,900 / yearAlaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Exercise considerable latitude and initiative to solve ambiguous, high-impact challenges where problem definition, solution approach, and success criteria require significant discovery, including scaling AI from pilot to production, integrating AI into legacy operational systems, and defining governance approaches for novel AI use cases.
Applied AI Scientist - Multimodal Intelligence Apple IncApplied AI Scientist - Multimodal IntelligenceSeattle, WADemonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community.
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.
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 Engineer, AI and Business Intelligence, Looker Google LLCPrincipal Engineer, AI and Business Intelligence, LookerKirkland, WAWe deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. You will act as an escalation point for technical decisions across the team when necessary and function as a trusted partner for other C-level leaders in defining strategy and shaping our investment portfolio.
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.
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.
Group Product Manager, Cloud Business Intelligence Google LLCGroup Product Manager, Cloud Business IntelligenceKirkland, WALead the long-term product goal and strategy for emerging agentic experiences across the Cloud BI portfolio, ensuring it drives significant value for both customers and the business. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world"s information.
Senior UX Designer, Google Meet Intelligence GoogleSenior UX Designer, Google Meet IntelligenceSeattle, WASenior UX Designer, Google Meet Intelligence _corporate_fare_ Google _place_ Seattle, WA, USA; Kirkland, WA, USA; +4 more; +3 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products.
Director, Fraud Intelligence & Investigations VouchedDirector, Fraud Intelligence & InvestigationsSeattle, WARemote$160,000–$190,000 / yearYou will separate the innocent from the malicious, build cases on the bad actors, surface the techniques fraudsters are using before the rest of the market sees them, and turn what you learn into ammunition for our product and engineering teams. Identify new and evolving fraud techniques, including synthetic identities, document forgery, deepfakes, and coordinated ring activity.
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.
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.
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.
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.
Senior Language Engineer, Artificial General Intelligence - Data Services AmazonSenior Language Engineer, Artificial General Intelligence - Data ServicesBellevue, WAKey job responsibilities - Define and lead the organization's data creation strategies for our science partners - Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. Basic Qualifications - Master's degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) Preferred Qualifications - PhD in Computational Linguistics (or equivalent field with computational emphasis) - 5+ years of experience creating AI datasets for complex and quickly evolving requirements using a range of approaches: model-based, human in the loop, synthetic/code-based, etc.
Language Engineer, Artificial General Intelligence - Data Services AmazonLanguage Engineer, Artificial General Intelligence - Data ServicesBELLEVUE, WADescription The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. USA, CA, Sunnyvale - 74,900.00 - 131,100.00 USD annually USA, MA, Boston - 65,200.00 - 114,000.00 USD annually USA, WA, BELLEVUE - 80,200.00 - 114,000.00 USD annually
Business Intelligence Engineer, ADSP Product Operations & Analytics AmazonBusiness Intelligence Engineer, ADSP Product Operations & AnalyticsSeattle, WAKey job responsibilities - Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations - Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems - Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs - Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency - Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes - Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities - Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations - Collaborate across engineering, data science, and business teams to build centralized data tools Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. You'll work directly with business leaders to build analytics frameworks, design KPIs and dashboards, and create AI-powered workflows that help teams make smarter, data-driven choices.
Business Intelligence Engineer, Supply Chain Innovation, Bulk Fulfillment Amazon.com IncBusiness Intelligence Engineer, Supply Chain Innovation, Bulk FulfillmentBellevue, WADesign and build scalable data pipelines synthesizing information from multiple sources: Asana (task management), Slack (real-time updates), WBRs (weekly operations), MBRs (monthly business reviews), QuickSight Topics (live metrics), and operational systems (SCOT, AFT, MSP). This role offers comprehensive end-to-end exposure across Amazon"s supply chain, from vendor inbound through customer delivery, with direct impact on a strategic initiative that will reshape customer perception of Amazon as a destination for bulk purchases.
NewBusiness Intelligence Engineer, Forecasting & Labs Analytics Amazon.com IncBusiness Intelligence Engineer, Forecasting & Labs AnalyticsBellevue, WAYou will have the resources and tools to help you deliver this mission - support from partner teams like Data Engineering/Data Science/Program, rich datasets and tools like AWS Redshift and Tableau. As a Business Intelligence Engineer in forecasting, you will be responsible for: Understanding the opportunities for improvement and partnering with PMs, Science and Engineering to design solutions to complex forecasting problems.
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, Amazon Kids+ Amazon.com IncBusiness Intelligence Engineer, Amazon Kids+Seattle, WATo be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex subscription data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems. We are looking for an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer to build critical data pipelines and analytics tools that will help teams make data-driven decisions to grow and improve the Kids+ subscription service.
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.
Applied Scientist III, Sponsored Products Marketplace Intelligence Amazon.com IncApplied Scientist III, Sponsored Products Marketplace IntelligenceSeattle, WAThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, and get broad exposure to a wide range of scientific techniques (machine learning, bandit learning, optimization, LLMs).
Senior Business Intelligence Engineer, Devices Demand Science Optimization Amazon.com IncSenior Business Intelligence Engineer, Devices Demand Science OptimizationSeattle, WAYou"ll design and maintain MCP servers and semantic layers that make our core tables accessible to AI agents, automate daily business workflows (WBR narratives, flashes, executive summaries) using GenAI, and architect scalable data pipelines on AWS. Design, build, and maintain scalable core data tables and pipelines that serve as the single source of truth for Devices sales, inventory, pricing and demand planning metrics.
Sr Business Intelligence Engineer, FBA Analytics Amazon.com IncSr Business Intelligence Engineer, FBA AnalyticsBellevue, WAFulfillment 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. In this critical role, you"ll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions.
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).
Business Intelligence Engineer , Prime Video Personalization and Discovery Amazon.com IncBusiness Intelligence Engineer , Prime Video Personalization and DiscoverySeattle, WADrive data-based strategic decisions for international video streaming service • Partner with engineering, product, and marketing teams • Set and track program goals and metrics • Design scalable data solutions based on business requirements • Develop reporting dashboards and metrics visualization • Use tools like SQL, ETL, Redshift, QuickSight, and Tableau • Manage complete development lifecycle from design to maintenance. If youre excited about creating personalized entertainment experiences and using data to tell compelling stories that drive product innovation, this role offers you the perfect stage to make your mark.
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.
Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting Amazon.com IncSr Business Intelligence Engineer III, SCOT - Long Term Planning and ForecastingBellevue, WALTPF BI Engineers build and maintain analytical tools supporting Topline, Inventory, and Capacity planning, and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. SCOT LTPF is responsible for long-term forecasting and planning across Topline, Inventory, and Capacity - helping Amazon plan key metrics including ordered units and GMS, inventory units and cost, and FC building capacity and topology (size and location).
Senior Business Intelligence Engineer, Infra Supply Chain Automation Amazon.com IncSenior Business Intelligence Engineer, Infra Supply Chain AutomationSeattle, WAThe AWS Analytics and Data Solutions (ADS) team is seeking a Senior Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team. 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.
Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain Amazon.com IncBusiness Intelligence Engineer, Prime Video Partner Experience & Supply ChainSeattle, WAPrime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. Join Prime Video"s Partner Experience & Supply Chain team as a Business Intelligence Engineer and become the data expert who transforms how we work with our content partners and optimize our supply chain.