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.
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.
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 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.
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.
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.
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.
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.
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.
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 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.
Enterprise Systems & Intelligence Director YMCA of Greater SeattleEnterprise Systems & Intelligence DirectorSeattle, WA$125,000–$137,000 / yearWhat you'll get from working at The Y: + Membership to the YMCA of Greater Seattle for you and your household + Medical, Dental, Vision, and Life insurance + Retirement with generous employer contributions + Free access to mental health resources + Rapidly-accruing paid time off (PTO) available immediately upon hire + Discounts on qualifying YMCA of Greater Seattle childcare and day camp programs Hiring range: $125,000 - $137,000/ year Responsibilities + Provides strategic leadership and oversight for enterprise systems, business intelligence, analytics, reporting, and business analysis functions to support organizational goals and operational excellence. Partners collaboratively with business and executive leaders to assess operational opportunities, evaluate technology capabilities, identify process efficiencies, and drive enterprise value through data-informed decision-making and system 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.
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.
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.
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 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.
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.
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.
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.
Apple Intelligence Senior Cloud Performance Engineer Apple IncApple 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. Strong problem-solving skills and effective communication are crucial for success in this role.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.
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.
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.
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.
NewBusiness Intelligence Engineer I, R2L Analytics Amazon.com IncBusiness Intelligence Engineer I, R2L AnalyticsBellevue, WAA typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. The BI team partners closely with operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses.
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.
NewStaff Software Engineer, Storage Intelligence Platform Google LLCStaff Software Engineer, Storage Intelligence PlatformSeattle, WAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
Applied Scientist, Support Agent Intelligence and Evaluation Amazon.com IncApplied Scientist, Support Agent Intelligence and EvaluationSeattle, WAEnhance support agent capabilities across the broad suite of Amazon Advertising products - expanding coverage, depth of resolution, and advertiser task completion across Sponsored Products, Sponsored Brands, DSP, AMC, and more. This role sits within Amazon Advertising"s broader Agentic Intelligence organization - a community of multiple Applied Science and Engineering teams building the next generation of AI-powered experiences for advertisers.
Business Intelligence Engineer I, SCOT Buying Amazon.com IncBusiness Intelligence Engineer I, SCOT BuyingBellevue, WAAs a Business Intelligence Engineer I in SCOT Buying Analytics, you will build data solutions across Amazon"s diverse buying programs, including Just in Time, Advanced Purchasing, and Global Ordering. Document solutions clearly to ensure ease of use, interpretation, and maintainability by others, and seek input and guidance from team members on both technical approaches and business understanding.
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.
Data Engineer II, Intelligence & Industrialization Amazon.com IncData Engineer II, Intelligence & IndustrializationBellevue, WAYour pipelines will process terabytes of logistics data daily, enabling teams to optimize billions in supply chain spend and accelerate cross-border delivery-directly fueling Amazon"s flywheel of lower costs, lower prices, and better customer experience. Architect and implement end-to-end ETL pipelines that ingest, transform, and load data from diverse sources, ensuring timely delivery of critical business metrics with a focus on automation, efficiency, and fault tolerance.
Business Intelligence Engineer, Workforce Planning and Access - One Medical Amazon.com IncBusiness Intelligence Engineer, Workforce Planning and Access - One MedicalSeattle, WAFor over fifteen years, we"ve provided innovative primary care solutions combining seamless in-office and 24/7 virtual care services, on-site labs, and comprehensive programs for preventive care, chronic care management, common illnesses, and mental health support. You will partner cross-organizationally with all health teams in AHS (One Medical, Amazon Pharmacy, Amazon Clinic) to develop a traffic and marketing data mart that will provide aggregated organizational reporting for all of AHS businesses.
Sr Applied Scientist, Support Agent Intelligence and Evaluation Amazon.com IncSr Applied Scientist, Support Agent Intelligence and EvaluationSeattle, WAOur Support Agents team is building the science behind intelligent, conversational support - systems that understand advertiser intent, retrieve the right knowledge, generate accurate answers, and know when to escalate. Enhance support agent capabilities across the broad suite of Amazon Advertising products - expanding coverage, depth of resolution, and advertiser task completion across Sponsored Products, Sponsored Brands, DSP, AMC, and more.
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.
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
NewProduct Strategy and Operations, Artificial Intelligence and Infrastructure Google LLCProduct Strategy and Operations, Artificial Intelligence and InfrastructureSeattle, WADrive business and product strategy for the various domains within AI2 working with product and engineering leadership and enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of Google Cloud platform (GCP). Surface issues within current processes and systems, design scalable solutions to address them, and partner cross-functionally to implement these upgrades across the broader organization with focus in product launch and regional expansion billing and stock keeping unit (SKU) management workflows.
Senior Business Intelligence Engineer, Devices Demand Science Optimization AmazonSenior Business Intelligence Engineer, Devices Demand Science OptimizationSeattle, WABasic Qualifications - 10+ years of professional or military experience - 7+ years of SQL, ETL or Oracle experience - 7+ years of processing large, multi-dimensional datasets from multiple sources experience - 5+ years of developing automated reporting experience - Experience with AWS technologies - Experience in scripting for automation (e.g. You'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.
Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team AmazonSr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics TeamSeattle, WAYou will scope analytical problems, build decomposition frameworks, partner with operational leaders to validate findings, and deliver insights that directly influence resource allocation, process design, and investment decisions at the VP level. GDCO operates one of the world's largest physical infrastructure fleets - hundreds of data centers across 20+ countries - with thousands of technicians performing hardware repairs, rack installations, and preventive maintenance daily.
Business Intelligence Engineer , Prime Video Personalization and Discovery AmazonBusiness Intelligence Engineer , Prime Video Personalization and DiscoverySeattle, WAWe're looking for a passionate Business Intelligence Engineer who will help leverage meaningful insights that directly influence how viewers interact with one of the world's largest streaming platforms. If you're 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.
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.
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.
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.
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