Aws Jobs in Seattle, USA

We're seeking an Associate Corporate Counsel to be a pivotal force in shaping the future of cloud security at Amazon Web Services. In this role, you'll collaborate with security teams, translating complex legal challenges into innovative solutions that protect and empower our global customers.<br/><br/>Key job responsibilities<br/>- Provide comprehensive legal counsel on cloud security, transactional, regulatory, and compliance matters — drawing on a comprehensive understanding of compliance and regulatory frameworks to navigate complex and evolving requirements<br/>- Advise security teams during strategic customer engagements, media interactions, and interactions with security researchers<br/>- Serve as a subject matter expert on security commitments in cloud enterprise agreements<br/>- Lead negotiations for technology, intellectual property and data licensing across inbound and outbound initiatives, leveraging deep expertise in commercial agreements and intellectual property transactions<br/>- Support the global security response team with nuanced legal perspectives, demonstrating exceptional problem-solving capabilities in ambiguous scenarios<br/>- Manage multiple projects while meeting deadlines<br/>- Uphold a deep commitment to ethical standards and professional integrity across all legal and business engagements<br/><br/>A day in the life<br/>Your day will be a blend of strategic problem-solving and legal innovation. You'll engage with security teams, navigate intricate legal landscapes, and provide counsel that bridges technology and legal frameworks. Expect to dive into fascinating challenges that require both legal acumen and technological insight, working closely with global security experts to develop new approaches to cloud security.<br/><br/>About the team<br/>Our legal team at AWS is a collaborative, forward-thinking group dedicated to supporting one of the most innovative technology companies globally. We don't just practice law; we help shape the future of cloud computing. You'll be part of a team that values intellectual curiosity, strategic thinking, and the ability to transform complex legal challenges into clear, actionable guidance.

We're looking for an experienced Manager of Email Marketing, Events to lead a team of email marketers who own the email demand generation channel for AWS's global events portfolio — including AWS Summits, re:Invent, and other flagship programs. This is a people-leadership role focused on building a high-performing team, setting strategic direction for the email channel, and driving measurable business outcomes (registrations, attendance, pipeline contribution) across regions.<br/><br/>You'll sit at the center of a cross-functional ecosystem — partnering with event operations, marketing operations, creative, and regional marketing teams to ensure email remains the highest-performing demand generation lever for AWS events worldwide.<br/><br/>Key job responsibilities<br/>Team Leadership & Development<br/><br/>• Manage, coach, and develop a team of Email Marketing Managers responsible for campaign strategy, execution, and optimization<br/><br/>• Set the bar for email marketing craft — segmentation, architecture, testing methodology, and operational rigor<br/><br/>• Build scalable processes and documentation that enable the team to operate independently at high quality<br/><br/>• Recruit, hire, and onboard top talent; maintain a strong hiring bar for the discipline<br/><br/>• Create development plans that grow individual contributors into strategic email marketers<br/><br/>Email Strategy & Architecture<br/><br/>• Set the strategic vision for event email programs across the full lifecycle: awareness → registration → confirmation → attendance conversion<br/><br/>• Define segmentation frameworks, cadence strategies, and trigger logic that maximize conversion while minimizing fatigue<br/><br/>• Drive innovation in email architecture — modular content systems, reusable templates, and automated workflows that scale globally<br/><br/>• Own the email testing roadmap: A/B and multivariate experiments grounded in statistical rigor<br/><br/>Performance & Optimization<br/><br/>• Establish and track KPIs that tie email activity to business outcomes (registrations, attendance, pipeline)<br/><br/>• Build reporting frameworks that surface insights and drive decisions — not just dashboards<br/><br/>• Diagnose performance issues at the segment, region, and campaign level; guide the team to root-cause analysis<br/><br/>• Close the registration-to-attendance gap through data-driven nurture and reminder strategies<br/><br/>Global Execution at Scale<br/><br/>• Oversee simultaneous email campaigns across multiple regions, languages, compliance environments, and timezones<br/><br/>• Ensure operational rigor: QA processes, approval workflows, pre-send checklists, and error prevention systems<br/><br/>• Navigate regulatory and compliance considerations (GDPR, CAN-SPAM, CNIL, ePrivacy) across markets<br/><br/>• Balance speed with quality — maintain high standards while meeting hard event deadlines<br/><br/>About the team<br/>The AWS Integrated Demand Center (IDC) Email Marketing team owns the email channel for AWS's global events and demand generation programs. We're a team of builders who care deeply about the craft of email — from segmentation strategy to bar raising execution. We operate at global scale, move fast, and hold ourselves to a high bar because our work directly impacts whether tens of thousands of people show up to learn, connect, and build on AWS.

Trusted by more startups around the world, AWS makes the power of cloud computing and AI accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. With experience gained from supporting hundreds of thousands of startups, we help founders prove that their world-changing ideas are possible — at any stage of growth or level of funding. <br/><br/>The AWS Startup Marketing team is seeking a seasoned, strategic Principal GMM Individual Contributor to serve as the primary interface between AWS Startup Marketing and the AWS Partner and Worldwide Specialist Organization (WWSO) teams. The Startup Marketing team owns the overall messaging to the startup community and is accountable for a consistent brand and message throughout the customer journey — from idea to enterprise scale. In this role, you will work with the AWS Partner and WWSO team to define marketing growth strategies and scalable frameworks that help startup partners succeed at every stage of their journey. You will align go-to-market motions, develop maturity models for high-potential startup partners, and design enablement programs and joint marketing plan frameworks that drive AWS adoption. As a Principal IC, you will operate as a recognized subject-matter expert and trusted advisor to senior leadership — influencing across a broad set of worldwide stakeholders, resolving ambiguity where org priorities meet, and engaging strong ecosystem players to accelerate partner growth.  <br/><br/>You are the connection point between the orgs, keeping all teams aligned around our agreed messaging. As a Principal IC, you will operate as a recognized subject-matter expert and trusted advisor to senior leadership, influencing across a broad set of worldwide stakeholders. You will define and steward the shared messaging framework, resolve ambiguity where org priorities meet, and set the mechanisms that keep Startup Marketing, Partner, and WWSO teams interlocked as the strategy and the customer journey evolve. <br/><br/>Key job responsibilities<br/>- Serve as the primary interface aligning AWS Startup Marketing, Partner, and WWSO teams around a shared, consistent startup message across the entire customer journey from idea to enterprise scale. <br/>- Define and steward the shared messaging framework and interlock mechanisms that keep the three orgs aligned as strategy evolves, ensuring smooth handoffs so customers engage with the right team at the right time. <br/>- Design go-to-market motions and maturity models that identify and accelerate high-potential startups through targeted marketing programs, including with- and through-partner ABM motions. <br/>- Build scalable marketing frameworks that help startups succeed across the partner journey, from early engagement through enterprise scale. <br/>- Influence and activate senior leaders and ecosystem players (VCs, accelerators, ISVs) across Marketing, Partner, and WWSO to drive alignment, resolve ownership ambiguity, and represent Startup Marketing in cross-org GTM forums.

We are seeking a skilled and experienced SAP MM and Logistics architect to join our dynamic team. The ideal candidate will be responsible for implementing, supporting, and enhancing the SAP Material Management (MM) and Logistics modules to meet our organizational needs. This role involves working closely with stakeholders to analyze business requirements, design solutions, and ensure seamless integration with other SAP modules.<br/><br/>Key job responsibilities<br/>* Lead comprehensive business process analysis and requirements gathering workshops with supply chain, procurement, and logistics stakeholders.<br/>* Design and architect robust, scalable, and efficient SAP MM and Logistics solutions, developing detailed blueprints and strategic roadmaps from design through delivery.<br/>* Configure and customize core SAP MM modules, including Purchasing (PR, PO, RFQ), Inventory Management (IM), Invoice Verification (IV), Material Master Data, and Valuation.<br/>* Configure and integrate key logistics components, including Warehouse Management (WM) / Extended Warehouse Management (EWM) and Transportation Management (TM) functionalities.<br/>* Document configurations, customizations, and best practices for future reference and knowledge transfer.

Senior Software Development Engineer, Coupons <br/> Are you interested in a ground-floor opportunity to join a new stealth initiative within Amazon? We are seeking highly talented and motivated software engineers with experience in Java/C++ and web services and rendering technologies to join a brand new team that will seize an untapped opportunity in the digital coupon space. As a charter member of this team you will work with Amazon’s latest cloud computing technologies such as S3, EC2 and Dynamo-DB to build a large-scale, high-performance, highly available enterprise system that will support interactions across the World Wide Web. You will work closely with the business team and internal and external technology partners to elaborate the architecture and build the systems that will support the explosive growth of a business that will achieve hundreds of $millions in revenues within five years by leveraging Amazon’s worldwide technical infrastructure and business relationships. <br/> <br/> RetailSystemsJobs

We’re seeking a Senior UX Designer to lead the design of AI-native business applications and end-to-end customer experiences. This role goes beyond feature ownership, you will define experience strategy, shape product direction, and drive bar-raising design quality across services and journeys.<br/><br/>As a Senior UX Designer, you will operate at both system and product levels, translating ambiguous problem spaces into clear, opinionated experience directions. You will partner with product, engineering, and applied science to define what we build and why, not just how it looks or behaves.<br/><br/>You will play a key role in evolving how we design for AI teammates, moving from assistive interfaces to proactive, context-aware, and trustworthy systems. This includes defining new interaction paradigms, trust models, and human-AI collaboration patterns.<br/><br/>We are looking for designers who are not only thinkers but builders, comfortable leveraging AI-accelerated workflows, rapid prototyping, and vibe coding to bring ideas to life quickly and influence decisions through tangible artifacts.<br/><br/>This is an opportunity to lead through design, shape long-term vision, and raise the quality bar for the next generation of AI-powered solutions.<br/><br/><br/>Key job responsibilities<br/>* Define and drive end-to-end UX strategy across complex product areas and multi-service journeys, translating ambiguous problems into clear, opinionated experience directions and articulating the core customer value. <br/>* Lead the design of AI-native experiences, including proactive, context-aware AI teammates, while establishing scalable interaction models for trust, transparency, and human-AI collaboration. <br/>* Apply system-level thinking to create cohesive experiences across products and touchpoints, and drive reusable design patterns, frameworks, and quality standards that raise the UX bar. <br/>* Leverage AI-accelerated workflows, rapid prototyping, and vibe coding to explore ideas, validate concepts, and influence product direction through tangible artifacts. <br/>* Partner cross-functionally with product, engineering, and science to shape product strategy and roadmap, and influence senior stakeholders through strong storytelling and customer-backed insights. <br/>* Drive customer understanding and validation through research, experimentation, and data, while mentoring other designers and elevating overall design quality and culture.<br/><br/>About the team<br/>AWS Applied AI Solutions is an organization with ambitions to be a leading provider of business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies worldwide to manage day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive, differentiated technology solutions that solve enduring business challenges.<br/><br/>We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner, delivering solutions that are no-brainers to adopt and easy to scale.<br/>

AWS Marketplace and Partner Services (AMPS) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. AMPS team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Data Engineering is a horizontal layer that supports all the foundational data needs for the organization.<br/><br/>As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science and Product teams to continuously improve and build our data infrastructure, data model, tools and data pipelines. Your work will directly influence and drive organizational insights, customer facing features and machine learning models. <br/><br/>To be successful in this role, you should have strong database design skills, comfort with large data sets and an eagerness to invent. You should have a passion for data and analytics with the technical skills needed to build for scale and automation.<br/><br/>Key job responsibilities<br/>- Architecture design and implementation of next generation data pipelines and BI solutions<br/>- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.<br/>- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.<br/>- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources<br/>- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers<br/><br/>A day in the life<br/> - Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and AWS customers.<br/> - Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, Redshift, Glue and S3.<br/> - Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability. <br/><br/>About the team<br/>We are the Data Engineering team in AMPS, powering analytics for the AWS Marketplace Platform. Our data serves external Marketplace sellers and over 3,000 internal Finance, Sales, and Partner stakeholders. We are building a unified Canonical Data Model on Redshift and Data Lake, greenfield data engineering at scale: designing ETL frameworks, migrating billions of rows, and treating data quality and security as first-class concerns. We work across Redshift, Airflow, Glue, S3, and CDK, and we are early adopters of GenAI in our engineering workflow. Come own hard, ambiguous problems end to end.<br/><br/>Diverse Experiences<br/><br/>AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. <br/><br/>Why AWS?<br/><br/>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.<br/><br/>Inclusive Team Culture<br/><br/>AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br/><br/>Mentorship & Career Growth<br/><br/>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. <br/><br/>Work/Life Balance<br/><br/>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

The AWS Marketplace & Partner Services (AMPS) Science team seeks a Software Engineer to design and build the infrastructure and tooling behind our AI solutions, including LLM training pipelines, custom LLM model hosting, and AI agent monitoring and evaluation infrastructure. This role will be instrumental in transforming how AMPS customers and partners interact with our AI-powered products, including AMPS AI agents. In this role, you will work closely with Data Scientists, Applied Scientists, Data Engineers, other Software Engineers, Business Intelligence Engineers, Product Managers, and AMPS managers and leaders to build and scale the infrastructure and tooling that power our AI solutions.<br/><br/>The ideal candidate thrives in an environment of practical application, demonstrating both technical excellence and business acumen. They should be passionate about collaboration and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers and partners as well as internal users and systems work, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven solutions while working with innovative technologies at AWS scale.<br/><br/>Key job responsibilities<br/>- Design, develop, and maintain scalable infrastructure for large language model training pipelines, model hosting, and agent-based systems, employing best engineering practices and iterating from simple to complex solutions<br/>- Build and operate monitoring, evaluation, and observability frameworks to measure AI agent performance, reliability, and effectiveness in production<br/>- Develop reusable tooling, APIs, and automation that accelerate the team's ability to experiment, deploy, and iterate on ML/AI solutions<br/>- Contribute to a fast-paced, experimental environment by rapidly prototyping and operationalizing infrastructure that leverages the most recent advances in ML/AI<br/>- Collaborate with cross-functional teams—including Data Scientists, Applied Scientists, Data Engineers, Software Engineers, Product Managers, and Science and Engineering leaders—to translate scientific innovations into robust, production systems<br/>- Participate in research initiatives alongside scientists and engineers—contributing to experiments, prototyping, and co-authoring internal and external publications that advance the team's technical knowledge and industry presence.<br/><br/>A day in the life<br/>We are at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders:<br/>- AWS Customers: Through the AWS Marketplace, we build and support Discovery tools and AI agents that streamline cloud adoption and innovation.<br/>- AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth.<br/>- Internal AWS Sellers: We equip our sales force with data-driven recommendations and AI tools to better serve our customers and partners.<br/>- Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network.<br/><br/>About the team<br/>AMPS' vision is to make AWS the most efficient, automated, and economical place for customers worldwide to find, buy, and deploy third-party software, data, and professional services. The AMPS Analytics and Science Engineering Team drives innovation through data science, machine learning research, and rigorous AI evaluation. We partner with other AMPS teams to improve discovery, recommendation, AI systems performance and evaluations, and partner success across AWS Marketplace.<br/><br/>Diverse Experiences<br/><br/>AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. <br/><br/>Why AWS?<br/><br/>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.<br/><br/>Inclusive Team Culture<br/><br/>AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br/><br/>Mentorship & Career Growth<br/><br/>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. <br/><br/>Work/Life Balance<br/><br/>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br/><br/>On Agentic WorkSpaces, our vision is to enable AI agents to work the way humans do: with access to real applications, real interfaces, and real computing environments. For enterprises to trust autonomous agents with their essential business applications, they need to see what agents did, control what agents can do, and prove both to auditors. Our team builds the systems that make this possible. We record every agent desktop action as a reviewable visual audit trail, enforce policy on every tool call before it executes, pause agents for human approval on sensitive actions, and package the evidence for compliance frameworks.<br/><br/>We are seeking an exceptional Senior SDE to own the identity architecture at the foundation of this system. When an agent acts inside a user's desktop session, it inherits that user's identity. Every downstream system then attributes the agent's actions to the human. Solving this means deciding how agent identity is established, propagated across protocol and service boundaries, and preserved through to policy enforcement and audit. These decisions determine whether the rest of the governance stack — attribution, enforcement, approval, evidence — can be trusted at all. You will make foundational architectural calls, write code, mentor the engineers around you, and drive consensus with partner teams whose identity models were built for humans. This is a high-visibility, high-ownership role on a small team solving problems with no established playbook. If you do your best work in ambiguity and want your technical decisions to set the direction for how enterprises govern AI agents, this team is for you.<br/><br/>Key job responsibilities<br/>* Own the end-to-end identity architecture for agent governance: how agent identity is established, propagated, and preserved across desktop sessions, protocol boundaries, and downstream services<br/><br/>* Design attribution and audit systems that distinguish agent actions from human actions within the same session, at the infrastructure level where agents cannot tamper with the record<br/><br/>* Own policy enforcement architecture, including authorization models that evaluate agent actions before they execute<br/><br/>* Evaluate build-vs-leverage decisions across identity and authorization primitives, including assessments of existing internal and external components for reuse<br/><br/>* Drive technical consensus with partner teams whose identity and permission models predate autonomous agents<br/><br/>* Mentor and develop junior and mid-level engineers through code reviews and design reviews<br/><br/>* Communicate architectural decisions and tradeoffs to senior leadership and non-technical stakeholders<br/><br/>A day in the life<br/>Your mornings are usually free for focus work — architecture, deep dives, and hard problems. Around 11 you'll have standup, then grab lunch with the team (if you like) before the afternoon opens up for design reviews, CR feedback, or unblocking an engineer. Some days you're deep in code; others you're presenting to leadership. You're the person who knows the system most deeply — and you work to ensure you're never the bottleneck. The problems are hard and the stakes are high — but we believe we can move fast, do exceptional work, and have a full life outside of it.<br/><br/>We're a small team building two greenfield projects within Agentic WorkSpaces. We're moving fast enough that our team name is still taking shape — but our engineering culture is well established. Here's what you can expect from AWS:<br/><br/>About the team<br/>ABOUT AWS:<br/><br/>Diverse Experiences <br/>Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. <br/><br/>Why AWS <br/>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.<br/><br/>Work/Life Balance <br/>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. <br/><br/>Inclusive Team Culture <br/>Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br/><br/>Mentorship and Career Growth<br/>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. <br/>

Transform the retail landscape by uncovering hidden business opportunities and connecting innovative cloud solutions with customer challenges. You'll be a strategic partner who goes beyond traditional sales, helping businesses unlock their potential through leading edge technology and insightful consultative approaches.<br/><br/>Key job responsibilities<br/>Drive digital transformation through meaningful engagement with C-level executives, IT leaders, architects, developers, and various lines of businesses within your customers. In this role, you will represent the entire portfolio of AWS products and services across the strategic accounts you manage within the Enterprise customer market segment. With AWS, our customers benefit from the fastest pace of innovation, the broadest and deepest functionality, the most secure computing environment, and the most proven operational expertise.<br/><br/>- Drive revenue and increase market share in a defined set of accounts.<br/>- Meet or exceed quarterly revenue targets.<br/>- Develop and execute a plan to grow the AWS footprint within your set of accounts.<br/>- Manage numerous accounts concurrently & strategically.<br/>- Create & articulate compelling value propositions around AWS services.<br/>- Accelerate customer adoption through well-developed sales engagements and successful go-to-market strategy to achieve customer outcomes.<br/>- Maintain a robust sales pipeline.<br/>- Work with partners to extend reach & drive adoption.<br/>- Ensure customer satisfaction.<br/><br/>A day in the life<br/>Your day will be a dynamic blend of strategic relationship building and solution crafting. You'll dive deep into customer ecosystems, identifying unique business challenges and mapping transformative cloud solutions that drive meaningful impact. Expect to engage in collaborative discovery sessions, develop compelling narratives, and build trusted advisory relationships across diverse retail environments.<br/><br/>About the team<br/>About the Team: We are a passionate group of solution architects and sales professionals dedicated to revolutionizing how businesses leverage cloud technology. Our team thrives on intellectual curiosity, collaborative problem-solving, and a commitment to driving customer success. We believe in empowering our team members to think creatively, challenge conventional approaches, and develop innovative strategies that create lasting value.<br/><br/>Why AWS?<br/>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.<br/><br/>Diverse Experiences<br/>AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. <br/><br/>Inclusive Team Culture<br/>Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br/><br/>Mentorship & Career Growth<br/>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. <br/><br/>Work/Life Balance<br/>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 

AWS Marketing is seeking an experienced Email Marketing Manager, Events to drive email channel strategy for our global events portfolio. This role is responsible for managing global email marketing initiatives focused on maximizing registration and attendance goals through strategic audience segmentation, email architecture design, and continuous optimization. <br/><br/>Key job responsibilities<br/>• Define and execute email channel strategy for specific event programs or regions, including audience segmentation frameworks, email architecture design, and A/B testing protocols<br/>• Plan, develop, and execute email campaigns that drive registration and attendance goals for global events and summits<br/>• Continuously optimize email campaigns to improve registration-to-attendance conversion rates and meet event capacity targets<br/>• Measure how email initiatives impact team goals, customer engagement metrics (open rates, CTR, conversion), registration and attendance goals, and overall customer experience<br/>• Regularly review, interpret, and communicate email performance metrics, registration/attendance trends, and optimization insights to peers and managers<br/>• Accelerate progress by driving decisions on email cadence, content strategy, and segmentation approaches<br/>• Develop technical and creative requirements for email campaigns in partnership with cross-functional teams<br/>• Communicate effectively with stakeholders, peers, and managers across marketing operations, event operations, and creative teams<br/>• Participate in recruiting and hiring processes, and mentor others on email best practices

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;We are seeking a Senior Streaming Platform Engineer (6+ years) with deep expertise in enterprise-scale streaming and cloud data platforms. Based in Atlanta, this role collaborates closely with teams in Salt Lake City and Pune, with reasonable overlapping hours. The ideal candidate brings hands-on experience managing scalable, secure, and highly available streaming ecosystems that support real-time analytics, event-driven architectures, and enterprise data platforms — including exposure to AI-assisted engineering and automation practices.&lt;/p&gt; &lt;h2&gt;What You’ll Do&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;Administer, optimize, and govern Kafka, AWS MSK, Kinesis, Kafka Connect, and OpenSearch platforms&lt;/li&gt; &lt;li&gt;Design scalable, fault-tolerant, and secure streaming architectures&lt;/li&gt; &lt;li&gt;Monitor, troubleshoot, and performance-tune distributed systems; drive capacity planning&lt;/li&gt; &lt;li&gt;Implement security controls, automation, and operational best practices&lt;/li&gt; &lt;li&gt;Support integrations with data lakes, Snowflake, analytics platforms, and downstream systems&lt;/li&gt; &lt;li&gt;Automate infrastructure provisioning using Terraform or similar IaC tools&lt;/li&gt; &lt;li&gt;Leverage AI-assisted development tools (Claude or equivalent) to improve engineering productivity and platform automation&lt;/li&gt; &lt;li&gt;Collaborate with engineering and analytics teams to enable real-time data processing and AI-driven data solutions&lt;/li&gt; &lt;/ul&gt; &lt;h2&gt;What We’re Looking For&lt;/h2&gt; &lt;p&gt;&lt;strong&gt;Required:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;6+ years of experience with Kafka administration and distributed streaming systems&lt;/li&gt; &lt;li&gt;Strong AWS cloud services experience (MSK, Kinesis, and related services)&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;in OpenSearch&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Linux administration and automation/scripting skills&lt;/li&gt; &lt;li&gt;Python development and platform reliability engineering&lt;/li&gt; &lt;li&gt;Desire to learn and implement evolving and new technologies&lt;/li&gt; &lt;li&gt;&amp;nbsp;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Preferred:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Experience with Flink using Spring Boot&lt;/li&gt; &lt;li&gt;Snowflake integration experience&lt;/li&gt; &lt;li&gt;Kubernetes orchestration&lt;/li&gt; &lt;li&gt;Administration knowledge in OpenSearch clusters&lt;/li&gt; &lt;li&gt;Familiarity with AI-enabled engineering workflows and tools&lt;/li&gt; &lt;/ul&gt; &lt;h2&gt;What Success Looks Like&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;Streaming pl

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters. Customers come to us with pipelines nobody trusts, metrics nobody agrees on, and warehouses that stall every new business question. You'll build the data products that fix that — working with business leads, analysts, and data scientists to understand the domain, then shipping pipelines and models that hold up in production. Because Aedeon handles the repetitive layer source discovery, schema mapping, validation harnesses — you won't spend your early career grinding through spreadsheet audits. You'll spend it writing code that reaches production and learning judgment from engineers who own cutovers. Data quality isn't a checkbox here; it's the product.  

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization. We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases. You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters, at meaningfully lower engagement cost than traditional data consulting. Customers come to us after a data program has stalled pipelines nobody trusts, warehouses nobody runs new workloads on, a modernization that produced diagrams instead of production systems. Aedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation. You own what agents can't: target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe. You'll build with PySpark and SQL on EMR and Glue, model for Redshift, Snowflake, Athena, and Presto, orchestrate with Airflow and your work will reach production, not a slide deck.