Adaptive jobs

Associate Director, Product Manager - Workforce Adaptive Planning US-TX-REMOTE posted: Posted 11 Days Ago

Customer Success Manager - Adaptive Planning 3 Locations posted: Posted 10 Days Ago

Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management Austin, Texas, USA Join our dynamic team as a Sr. Workday Application Analyst, delivering technical expertise in Workday Finance and Adaptive for Amazon's subsidiary Whole Foods Market. This role blends financial systems knowledge with hands-on technical skills to optimize system performance, maintain operational excellence, and ensure seamless functionality across hybrid cloud and on-premises environments. You'll leverage your deep understanding of financial concepts-including Ledger Accounts, Cost Centers, Journal Entries, Account Posting Rules, Costing Allocations, Bank Reconciliations, and Accounts Payable-to design solutions, execute testing, and maintain system integrity while supporting both day-to-day operations and strategic enhancement initiatives. Key job responsibilities Technical System Management - Design, configure, and maintain Workday Finance and Adaptive modules, ensuring optimal system performance and alignment with business requirements. - Provide technical expertise in financial system architecture. - Troubleshoot and resolve complex technical issues related to Workday Finance functionality. - Monitor system performance metrics and implement proactive measures to maintain high availability and user satisfaction. Financial Systems Expertise - Configure and maintain core financial components including Ledger Accounts, Cost Centers, Journal Entries, and Account Posting Rules. - Manage Accounts Payable configurations and workflows within Workday. - Ensure financial data integrity and compliance with accounting standards and internal controls. Requirements Gathering & Solution Design. - Translate business needs into technical specifications and system configurations. - Design scalable solutions that leverage Workday Finance and Adaptive capabilities. - Evaluate system enhancement requests and provide recommendations on feasibility and

Technical Support Engineer - Adaptive Planning Poland, Warsaw posted: Posted 7 Days Ago

Adaptive Planning Sales Specialist - Singapore NN & CB Singapore posted: Posted 30+ Days Ago

Workday Adaptive Planning Specialist 9 Locations posted: Posted 4 Days Ago

Software Engineer III- Workday Adaptive Developer 3 Locations posted: Posted 30+ Days Ago

Account Executive, Adapt, Amazon Adapt USA Application deadline: Jun 16, 2026 Adapt is hiring an Account Executive to serve the Amazon Ads Large Customer Sales (LCS) organization. This position can be remote in the US. Adapt operates as a talent flywheel within Amazon Ads, deploying experienced Account Executives across the LCS organization to maintain coverage continuity and elevate performance during periods of transition. Adapt team members report to the Head of the US Adapt AE team and collaborate closely with their coverage Sales Managers, operations partners, and Adapt peers deployed across the US. Every Adapt assignment is an opportunity to deliver measurable impact for customers, learn rapidly, and strengthen the resilience of the Amazon Ads organization. As an Account Executive on the Adapt team, you will be a significant and autonomous contributor responsible for managing customer initiatives and relationships across a rotating portfolio of Fortune 500 accounts. From day one of each new assignment, you will use your advertising expertise, business acumen, and high judgment to earn trust with customers, agencies, and internal stakeholders - quickly and credibly. This role demands a practitioner who is actively developing their strategic instincts. You will work independently on most initiatives, seek direction and/or use high judgment when navigating complex situations, and bring a structured, data-driven approach to every customer relationship. You will also embrace AI tools as force multipliers - using them to accelerate ramp time, increase the quality of customer interactions, and share learnings that improve how the broader Adapt team operates.

SW Development Engineer, AWS Elastic Network Adapter Firmware team Haifa, Haifa, ISR Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Thanks to our teams' breadth of professional engineers, we have been able to improve AWS cloud networking infrastructure, with products such as Elastic Network Adapter (ENA), Elastic Fabric Adapter (EFA), and Scalable Reliable Datagram (SRD). Our products are at the heart of the cloud, playing a key role, and used by millions and millions of customers! Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. As an ENA Firmware SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customer's needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As an ENA Firmware SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction. Basic Qualifications: - Bachelor's degree in computer science or electrical

Sr. Account Executive, Adapt, Amazon Ads GBR Adapt is seeking a Sr. Account Executive to join our European team. This is a permanent position based out of London/Remote, with travel to customers across EU5 expected up to 50% of the time. Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including Prime Video Ads, Twitch, and Fire TV - leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. This role sits within the Adapt team - a pioneering team that's redefining how we approach customer business. Different from traditional teams within Amazon Ads, Adapt combines human expertise with AI-enhanced analytics to revolutionise business continuity and growth. Our team members are agile professionals who thrive on variety, rotating across multiple strategic assignments to address business-critical needs in teams. This innovative model accelerates professional growth through diverse exposure to multiple facets of Amazon Ads, while leveraging technology to enhance customer value delivery. This role will be highly agile and fungible, and will

Senior Sustainability Engineer , Data Center Engineering Sustainability Sydney, New South Wales, AUS As part of Amazon's Climate Pledge to reach net zero carbon by 2040, AWS is committed to reducing carbon emissions across our infrastructure, and we are seeking a Senior Sustainability Engineer to drive carbon reduction in the design of our Data Centers across our rapidly expanding APAC portfolio. As a Senior Sustainability Engineer, you will work closely with the AWS Sustainability team, Global Design Engineering teams and Procurement teams to reduce carbon intensity in current and future AWS data centers. You will create mechanisms to identify opportunities for carbon reduction and track their success. Our standard data center solutions are adapted to the many geographies in which we operate and our building materials, structures and equipment are adapted to that local environment, the materials available and the construction techniques and competencies in that market. This provides the potential for specific carbon reduction opportunities on a building-by-building basis. Key job responsibilities • Understand the design and functionality of AWS data centers globally • Create and/or modify existing mechanisms to track carbon throughout the project life-cycle • Own the tracking of carbon for projects within your region -including working directly with our construction team and equipment suppliers to identify opportunities for carbon reduction (with our scale we drive the design of our equipment) • Identify project/region specific opportunities to reduce carbon on specific builds • Identify and pilot novel low-carbon materials and technologies • Engage with material suppliers and

Machine Learning Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least

Ad Sales Account Manager, Adapt USA Application deadline: Jun 16, 2026 Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including Twitch and Prime Video ADs-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. Amazon Adapt is a program designed to offer coverage solutions for business gaps which may occur due to extended leave (parental, medical) and unexpected account transitions. Amazon Adapt deploys highly skilled, hyper-agile talent that ensures customers can continue to invest in their partnerships with Amazon Advertising, uninterrupted. The program ensures that the high bar for customer service, strategic partnership, and revenue attainment is maintained during these coverage gaps. As a member of the Amazon Adapt team, you will have the opportunity to work on a range of client businesses. This enables Adapt team members to experience high-velocity exposure to teams across the organization and to clients across different verticals. From day 1, Adapt team members must use their experience to earn trust with multiple stakeholders and take command

Art Director - Lifecycle Engagement, XCM EU London, England, GBR This role can be based in London, Paris, Milan or Madrid Amazon XCM is seeking an Art Director responsible for visual and motion execution across EU lifecycle engagement marketing programmes. These programmes require creative that can operate at speed, scale and iteration - with visual strategies that drive awareness, intent and purchase across the full funnel for key audience segments including New-to-Amazon Customers (NACs). The successful candidate will bring strong motion and social-first creative craft while ensuring visual quality and brand coherence across EU marketplaces. You will collaborate closely with the Lifecycle Engagement Copywriter on larger initiatives while also leading visual execution independently across multiple programmes. Visual frameworks and design systems must be built to accommodate the realities of EU execution - including language-specific layout variation, typographic adaptation, and execution across markets at different stages of digital maturity. Experience designing localisation-ready creative frameworks for multiple EU languages and markets is essential. Key job responsibilities - Lead visual and motion execution for mid-funnel programmes across acquisition, discovery, engagement and Prime initiatives - Develop scalable visual and motion frameworks that enable mid-funnel creative to adapt quickly across formats, channels and EU markets. - Partner closely with the Lifecycle Engagement Copywriter to bring campaign ideas to life - Ensure visual quality and brand coherence as mid-funnel creative scales across markets and formats - Develop scalable visual approaches suitable for localisation and adaptation across EU - Stay connected to emerging social platforms, motion formats

Applied Scientist Gen AI - Amazon Advertising, CreativeX Seattle, Washington, USA Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi-modal Generative AI and can use state-of-the-art generative music and

Applied Sciences Manager , Ads Brand Safety and Suitability London, England, GBR Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality

Senior Applied Scientist, Fauna New York, New York, USA We are seeking a Sr. Applied Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors - Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency - Use simulation and real-world testing to refine and validate control algorithms - Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it faster, safer,

Applied Scientist, Personalization, Personalization Haifa, Haifa, ISR We are seeking an Applied Scientist to help build Amazon's next-generation customer memory and personalization systems. Are you interested in building systems that move beyond reacting to customer behavior, to actually understanding and remembering it over time? Our team is building Amazon's customer memory layer - a system that extracts, curates, and reasons over customer knowledge to power next-generation personalization. This includes transforming noisy, unstructured signals into durable, high-quality representations of customer preferences, intents, and life events, and using them in real time to improve customer experiences. We are part of Amazon's Personalization organization, a high-performing group that leverages large-scale machine learning, generative AI, and distributed systems to deliver highly relevant customer experiences. We tackle challenging problems at the intersection of information extraction, knowledge representation, LLM reasoning, and recommendation systems. Our systems operate under real-world constraints of scale, latency, and quality, requiring careful tradeoffs between precision, recall, and responsiveness. This team plays a central role in defining how Amazon understands its customers, and how that understanding is applied across the shopping experience. As an Applied Scientist, you will design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems. You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences. You will

Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago

Account Executive, Adapt, Amazon Ads Clichy, Ile-de-France, FRA Adapt is seeking an Account Executive to join our European team. This is a permanent position based out of Paris. Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including Prime Video Ads, Twitch, and Fire TV - leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. This role sits within the Adapt team - a pioneering team that's redefining how we approach customer business. Different from traditional teams within Amazon Ads, Adapt combines human expertise with AI-enhanced analytics to revolutionise business continuity and growth. Our team members are agile professionals who thrive on variety, rotating across multiple strategic assignments to address business-critical needs in teams. This innovative model accelerates professional growth through diverse exposure to multiple facets of Amazon Ads, while leveraging technology to enhance customer value delivery. This role will be highly agile and fungible, and will see the individual owning deliverables across multiple teams at once. This role will

Applied Scientist II, Advertising Incrementality Measurement New York, New York, USA Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team! Our work builds the foundations for providing customer-facing advertising measurement tools, furthering internal research & development, and building out Amazon's advertising measurement offerings. Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions, and this role will play a key role in the release and expansion of these offerings. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems. You should have strong analytical and communication skills, be able to work with product managers to define key business questions and work with the engineering team to bring our solutions into production. You will join a highly collaborative and diverse

Applied Scientist, Alexa Smart Properties Seattle, Washington, USA Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party electronic devices. AE team is looking for a highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases. As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Key job responsibilities . You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use

Software Development Engineer III, Annapurna Labs New York, New York, USA About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS

Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago