Qureos Mentor

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of developer.<br>
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As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across the AI Developer Tools portfolio.<br>
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We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical data architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.<br>
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If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.<br>
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Key job responsibilities<br>
<ul><li>Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings</li><li>Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</li></ul><br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
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Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;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>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
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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&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent in a technology field</li><li>Experience conveying complex technical concepts to both technical and business audiences</li><li>3+ years of direct experience working with customers on cloud technology adoption</li><li>3+ years of hands-on experience with developer tools and messaging to developer audiences</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience bringing technology products to market in a fast-paced environment</li><li>Experience demonstrating strong analytical abilities and confidence in the use of data</li><li>MBA, or Master's degree in management, business administration, economics, engineering, marketing</li><li>Track record of creating compelling technical demonstrations and reference architectures</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually<br>
USA, CA, Santa Clara - 130,500.00 - 176,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Technical Product Marketing Manager , Product Marketing, Generative AI Developer Tools

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join AWS as a Sr. Technical Program Manager and scale the design system that powers customer experiences across AWS digital properties. In this role, you'll connect product, engineering, design, and partner teams across the organization, driving alignment to deliver experiences that millions of AWS customers use daily.<br>
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Design systems sit at the intersection of design, engineering, and product, which means navigating multiple stakeholders, competing priorities, and complex dependencies. You'll bring it all together by working closely with engineers to drive features to completion, building the processes and mechanisms that enable the team to scale, and communicating the impact of what we're building to the broader organization.<br>
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We're seeking someone who influences without authority and navigates complex organizational dynamics. You'll align stakeholders across multiple teams, manage dependencies that span organizations, and build consensus among groups with different priorities.<br>
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Key job responsibilities<br>
<ul><li>Partner with engineering to drive features to completion, removing blockers and ensuring timely delivery</li><li>Dive deep into technical implementations to understand constraints and drive clarity with engineering and product teams</li><li>Establish scalable mechanisms and processes that enable the team to operate efficiently as it grows</li><li>Own communications about the team's work, from release notes to leadership updates to organizational announcements</li><li>Drive cross-functional alignment and facilitate decision-making among stakeholders with competing priorities</li><li>Serve as the primary coordinator between design system consumers and contributors, building relationships that drive adoption</li><li>Lead cross-organizational initiatives, managing dependencies and driving consensus across team boundaries</li><li>Identify and mitigate risks through proactive stakeholder engagement and transparent communication</li></ul><br>
A day in the life<br>
Your primary focus is keeping the design system moving forward and making sure the right people know about it. Most days start with engineering, whether that's a standup, working through a blocker, or reviewing a technical approach. From there, you're often in cross-team conversations, aligning stakeholders on priorities or brokering decisions when teams disagree. You'll spend time writing too, from release notes to leadership updates to Slack messages that keep partners informed. Some days you'll go beyond the usual and find yourself presenting to senior leadership, onboarding a new partner team, evangelizing the design system to a new area of the organization, or troubleshooting an urgent issue that just came up. The work varies, but you're always connecting people, driving clarity, and making sure nothing falls through the cracks.<br>
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About the team<br>
We build and maintain the design systems and platforms that power AWS Marketing's digital presence, serving millions of customers worldwide. We also support key events and experiences across the organization. The team is composed of front-end engineers, QA engineers, and design technologists, and we work closely with product and design partners in the same organization. We're constantly learning and experimenting with new technologies to bring the latest and greatest to customers. We value speed, autonomy, delivery, and delightful customer experiences.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of technical product or program management experience</li><li>6+ years of working directly with engineering teams experience</li><li>3+ years of software development experience</li><li>5+ years of technical program management working directly with software engineering teams experience</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience</li><li>Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules</li><li>Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership</li><li>Experience working with design systems, component libraries, or front-end platform teams</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 163,600.00 - 221,300.00 USD annually<br>
USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually</div><p></p>

Sr. Technical Program Manager, AWS Marketing Demand Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services is seeking a veteran enterprise technical sales representative to deliver value for companies via AWS's analytics solutions. As an AWS Analytics Sales Specialist on our Data, you will be at the forefront of driving adoption and revenue growth for AWS's Analytics services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging AWS customers to understand their needs and align them with AWS Analytics solutions. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales engagement plan, from identifying qualified leads to realizing revenue. You will understand a customer's business initiatives, help craft account plans to identify and drive opportunity win plans to enable those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with IT and Line of Business leaders. You will understand detailed business drivers in your forecast and intentionally work the best opportunities that maximize your ability to hit revenue goals. You can conduct compelling executive conversations on the transformational possibilities of building AI ready data foundations, launching new data products and helping customers put their data to work.<br>
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As a sales specialist for this fast-growing, exciting space you will have the opportunity to help drive the growth and shape the future of emerging technologies that will have an important impact on our customers' technical strategy, business goals, and their bottom line. You will work backwards from the customer's desired outcomes to discover, define, quantify, and build a plan to help customers achieve these desired outcomes by partnering with AWS. You will educate customers on &quot;art of the possible&quot; success stories and AWS enablers including our data warehousing (Amazon Redshift), data lake (Amazon Lake Formation), BigData processing (Amazon EMR), search (Amazon Open Search Service), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon Managed Kafka), and visualization and serverless query (Amazon Quicksight and Athena) solutions. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case. The ideal candidate will possess a proven track record and background that enables them to lead a sales effort that will include teaming with AWS core sales representatives, solutions architects, product management, professional services and partners. The successful candidate will also possess a business background that enables them to drive an engagement and interact with business personas at the CxO/VP level. The successful candidate should also have a technical understanding that enables them to easily interact with developers and technical architects. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions and work cross-organizationally to accelerate and launch customer projects.<br>
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Key job responsibilities<br>
<ul><li>Drive revenue and market share in a defined territory.</li><li>Meet or exceed annual revenue targets.</li><li>Develop and execute against a comprehensive account/territory plan.</li><li>Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.</li><li>Create &amp; articulate compelling value propositions around AWS analytics services.</li><li>Accelerate customer adoption of Amazon analytics services.</li><li>Maintain a robust sales pipeline leveraging sales force automation tools and best practices</li><li>Work with partners to extend reach &amp; drive adoption.</li><li>Develop long-term strategic relationships with key accounts.</li><li>Ensure customer satisfaction.</li><li>Expect moderate travel.</li></ul><br>
A day in the life<br>
You&rsquo;re surrounded by innovation. You&rsquo;re empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always &quot;Day 1&quot;.<br>
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About the team<br>
Diverse Experiences: 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience</li><li>5+ years of business development, partner development, sales or alliances management experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of building profitable partner ecosystems experience</li><li>Experience developing detailed go to market plans</li><li>Experience in any Bigdata architecture, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 157,100.00 - 212,600.00 USD annually<br>
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually</div><p></p>

Sr. Sales Analytics Specialist, US Financial Services Specialist Sales

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
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You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
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Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment.
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Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast.<br>
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As a Data Infrastructure Engineer, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data.<br>
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Key job responsibilities<br>
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul><br>
A day in the life<br>
Your primary focus will be empowering customers to succeed with their data by ensuring they can:<br>
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in software development, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Content Strategist is responsible for developing and executing comprehensive content strategies that guide customers through a cohesive AWS narrative across every touchpoint of their journey. This role will use our standardized messaging hierarchy to ensure strategic alignment between messaging, audience needs, and business objectives while maintaining consistency in brand voice and customer experience. While the Content Strategist does not own creation of the messaging within the content, they do drive the strategic vision that informs content creators on how best to deliver consistent, personalized, content experiences that educate, engage, and empower customers to make informed decisions.<br>
With a focus on audience engagement and driving consistent storytelling and messaging, the Content Strategist's key responsibilities include conducting audience and content audits, creating content strategies and lifecycle calendars, overseeing content creation (though not necessarily producing it), and analyzing content performance metrics to inform continuous improvement. The role involves collaborating with Content Studio, Digital Strategy, Campaign teams, and subject matter experts to deliver compelling, high-quality content across various platforms and formats while ensuring strategic direction and messaging is consistently executed with each content piece&mdash;whether blogs, infographics, or videos, etc. &mdash;to strengthen brand voice and tell a cohesive narrative to all decision makers and influencers in the buying process. Additionally, the Content Strategist partners with the Channels team, Digital Strategists, and Content Studio to determine optimal content formats that maximize customer engagement based on persona, customer journey stage, and content placement.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop and execute overarching content strategies aligned with AWS goals and target audiences</li><li>Conduct thorough audience and content audits to inform strategy</li><li>Create and manage content calendars and information architecture</li><li>Oversee content creation across various formats (blogs, infographics, videos, etc.)</li><li>Optimize content for SEO and multi-platform distribution</li><li>Analyze performance metrics and recommend improvements</li><li>Collaborate with cross-functional teams (design, peer marketing teams, subject matter experts, etc) to drive alignment across execution touchpoints.</li><li>Ensure brand and messaging consistency across all content</li><li>Determine optimal content formats based on persona to drive engagement, lead generation, and brand loyalty</li></ul><br>
Objectives<br>
<ul><li>Elevate AWS's content strategy to strengthen brand voice, and a consistent narrative across the customer journey to improve audience engagement</li><li>Ensure seamless execution of strategic direction across all content pieces</li><li>Contribute to measurable results in terms of influencing lead generation, solution adoption, and customer loyalty</li><li>Establish AWS as a thought leader through compelling, high-quality content</li></ul><br>
A day in the life<br>
<ul><li>Own the end-to-end content calendar from ideation to publication</li><li>Guide content creators and designers in producing various content formats</li><li>Identify trends, content gaps, and audience preferences</li><li>Collaborate with data and analytics teams to develop and study KPIs</li><li>Work with peer teams to ensure SEO optimization and user-friendly formats</li><li>Stay updated on industry trends and algorithm changes affecting content marketing</li><li>Manage relationships with internal and external subject matter experts and influencers</li></ul><br>
About the team<br>
The Content Strategy team is part of the Customer Experience organization within the Integrated Demand Center. We partner closely with the Digital Strategy team to design and deliver engaging customer experiences throughout the buyer's journey as customers explore AWS solutions to address their business challenges&mdash;from AI and data analytics to migration and beyond.<br>
<br>
Our team embeds Content Strategists across all Integrated Demand Programs (IDPs) and event workstreams to ensure the right content reaches the right audience at the optimal stage of their journey, creating meaningful touchpoints that guide customers toward solutions that meet their needs.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of professional non-internship marketing experience</li><li>Experience using data and metrics to drive improvements</li><li>Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)</li><li>Experience driving direction and alignment with cross-functional teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience communicating results to stakeholders</li><li>Experience managing content development, and campaigns</li><li>Experience guiding creative input, development and execution from concept to completion</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 137,900.00 - 186,500.00 USD annually<br>
USA, NY, New York - 137,900.00 - 186,500.00 USD annually<br>
USA, TX, Austin - 125,400.00 - 169,600.00 USD annually<br>
USA, VA, Arlington - 125,400.00 - 169,600.00 USD annually</div><p></p>

Sr. Content Strategist, IDC CX Content Strategy, AWS Marketing

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today&rsquo;s AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you&rsquo;ll collaborate with multiple teams to drive improvements in silicon yield &amp; performance - it&rsquo;s still Day One here at Amazon!
<br>
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Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies.<br>
<br>
As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of custom silicon in our data centers.<br>
<br>
<br>
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Key job responsibilities<br>
<ul><li>Verify custom chip designs at the SOC level</li><li>Integrate 3rd party IPs and VIPs into the SOC testbench</li><li>Create comprehensive testplans, write robust random testcases, and execute coverage plans</li><li>Maintain autosmoke and regression infrastructure</li><li>Dive deep into bugs and triages</li><li>Mentor junior engineers</li></ul><br>
About the team<br>
Inclusive Team Culture<br>
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Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.<br>
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Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
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Mentorship &amp; Career Growth<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields</li><li>8+ years of design verification experience using System Verilog and UVM</li><li>8+ YOE in testbench development including: stimulus, checkers, assertions and coverage</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing.</li><li>Experience using multiple verification platforms.</li><li>Experience with C/C++ and Object-Oriented Programming.</li><li>Experience with scripting languages, for e.g. Python.</li><li>Experience with AMBA protocols, for e.g. AHB/APB/AXI</li><li>Experience with interconnect protocols, for e.g. PCIe and UCIe</li><li>Experience with memory sub-systems, including cache coherency and synchronization techniques</li><li>Experience with verifying complex CPU, GPU, or ML accelerator designs</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually<br>
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually</div><p></p>

Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium.<br>
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The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance.<br>
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The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.<br>
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As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology<br>
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You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.<br>
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This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.<br>
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You can learn more about Neuron<br>
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html<br>
https://aws.amazon.com/machine-learning/neuron/<br>
https://github.com/aws/aws-neuron-sdk<br>
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success<br>
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Key job responsibilities<br>
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:<br>
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<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul><br>
A day in the life<br>
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.<br>
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You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative.<br>
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About the team<br>
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

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