delivery consultant- genai/ml, aws, industries Jobs in Seattle

delivery consultant- genai/ml, aws, industries

executive assistant, aws data center community Jobs in Seattle

executive assistant, aws data center community

global supply manager, aws power and cooling procurement and supply chain Jobs in Seattle

global supply manager, aws power and cooling procurement and supply chain

industry account based marketing manager , aws industry product marketing Jobs in Seattle

industry account based marketing manager , aws industry product marketing

leasing consultant

delivery consultant genai ml aws industries

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.<br>
<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:<br>
<ul><li>Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs</li><li>Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services</li><li>Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies</li><li>Acting as a trusted advisor to customers on industry trends and emerging technologies</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul><br>
About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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>
<br>
Why AWS? 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>
<br>
Inclusive Team Culture - 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 (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth - 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>
<br>
Work/Life Balance - 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><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)</li><li>3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience</li><li>2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)</li><li>3+ years experience developing software code in one or more programming languages (java, python, etc.)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Masters or PhD degree in computer science, or related technical, math, or scientific field</li><li>Strong working knowledge of deep learning, machine learning and statistics</li><li>AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)</li><li>Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training</li><li>Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts</li><li>AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred</li><li>Knowledge of security and compliance standards (e.g., HIPAA, GDPR)</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>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Delivery Consultant- GenAI/ML, AWS, Industries

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:
<br>
<br>
<ul><li>Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs</li><li>Providing technical guidance and troubleshooting support throughout project delivery</li><li>Collaborating with stakeholders to gather requirements and propose effective migration strategies</li><li>Acting as a trusted advisor to customers on industry trends and emerging technologies</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul><br>
About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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>
Why AWS? 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>
Inclusive Team Culture - 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 (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
Mentorship &amp; Career Growth - 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>
Work/Life Balance - 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.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>* 5+ years of experience in cloud architecture, design and implementation of data products leveraging cloud.</li><li>* 5+ years of experience in consulting and working with enterprise customers</li><li>* Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience</li><li>* 5+ years of experience in designing and implementing Enterprise Data Platforms/Capabilities, Data LakeHouse, Data Lakes and/or Data Warehouse.</li><li>* 2+ years of experience in developing Data and AI Governance framework (Responsible AI) and guiding customers on implementing a governance strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>* AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)</li><li>* AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred</li><li>* Experience with automation and scripting (e.g., Terraform, Python)</li><li>* Knowledge of security and compliance standards (e.g., HIPAA, GDPR)</li><li>* Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences</li><li>* Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q), SQL and at least one programming language (Python, Java, Scala)</li><li>* Experience in AWS analytics &amp; Generative AI services (e.g., Redshift, EMR, Glue, Athena, QuickSight, Bedrock, Q Developer) Understanding of AI/ML governance and responsible AI practices</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Delivery Consultant, Worldwide Public Sector Professional Services, State and Local Government & Education

Uber

<div><b>About the Role</b>
<br>
<br>
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
<br>
<br>
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
<br>
<br>
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
<br>
<br>
<b>About the Team</b>
<br>
<br>
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
<br>
<br>
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
<br>
<br>
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
<br>
<br>
<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As a Senior Google Cloud Platform (GCP) Cloud Intelligence (CI) SA you will be a leader with deep technical and business expertise influencing the AWS field on sales strategy and helping to design cloud-native solutions for their customers. You will develop and maintain cloud migration and modernization acumen across AWS and other public cloud offerings. You will document and share your insights to scale your expertise, and will also use these insights to improve our product offerings, and go-to-market campaigns.
<br>
<br>
The ideal candidate is an individual who understands the public cloud and has a passion for continual learning about new cloud offerings and the latest industry developments. You must be able to collaborate with cross-functional teams, think strategically about the complex business and technical needs of our customers, and be equally comfortable communicating with C-level executives and technical decision makers. You must have a proven track record as a consultant, advisor, or main stake holder delivering cloud native solutions.<br>
<br>
Key job responsibilities<br>
<ul><li>Serve as a subject matter expert on GCP technology and GCP&rsquo;s go-to-market strategy.</li><li>Consult with field SAs and BDs to analyze customers&rsquo; business and technical requirements and determine how the needs can best be met by AWS.
</li><li>Present your recommendations and designs directly to customers, demonstrating proficiency interacting with business executives (CxOs) and technical audiences (Architect/Director).
</li><li>Analyze trends and competitive offerings to generate technical and business insights. Foster a community of compete specialists who leverage your insights.
</li><li>Technical content creation (decks, whitepapers, recordings)</li><li>Deliver technical presentations and trainings to field SAs, BDMs, and product stake holders.</li><li>Deliver operational excellence managing a pipeline of technical engagements that requires rapid delivery and frequent reprioritization.</li></ul><br>
A day in the life<br>
The AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS&rsquo; overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.<br>
<br>
About the team<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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
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>
<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&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
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>
<br>
Mentorship and 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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>4+ years of enterprise technology experience</li><li>4+ years experience architecting cloud solutions in GCP</li><li>Computer Science/Technical degree or equivalent experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>4+ years working in within AWS specializing in compute, storage, databases, ML/AI, and analytics</li><li>4+ years experience architecting cloud solutions in AWS</li><li>Strong verbal and written communication skills</li><li>Have foundational cloud certifications or be able to achieve within 90 days</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Solutions Architect Google Cloud, Market Intel, Cloud Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Industry Marketing seeks product marketing leaders from the Automotive &amp; Manufacturing industries who are passionate about using technology to solve business problems and eager to shape the way Automotive &amp; Manufacturing companies innovate and modernize their businesses. Industry verticals have unique needs and paths for cloud adoption, and the AWS Industry Marketing team helps drive product strategy, go-to-market motions, and marketing activities that help industry customers transform their businesses using the broadest and deepest portfolio of cloud services and solutions. We develop crisp, highly differentiated, and compelling positioning and messaging to address industry-specific customer needs. We tell most important and interesting AWS stories to educate industry customers about what is possible when they build on AWS for their specialized use cases.<br>
<br>
As a senior product marketing manager for the Automotive &amp; Manufacturing industries, you will help define and drive messaging and thought leadership content for the vertical. You will deliver customer-centric storytelling across marketing channels to highlight how our vertical offerings drive meaningful, measurable customer impact in the Automotive &amp; Manufacturing space. You will own marketing activities and presence for large-scale events, product launches, and customer and partner announcements, and develop programs that enable and educate AWS sales and GTM teams about our industry-specific offerings. You will get to work on a rapidly growing business that has a real impact on people's everyday lives.<br>
<br>
The ideal candidate has a passion for technology services and how they can be used to create business outcomes in the Automotive &amp; Manufacturing verticals, the ability to transform complex technical concepts into easy-to-understand messaging and materials, and experience building and improving scalable mechanisms to deliver results. A proven track record of excelling in a data-driven product marketing organization is essential, Automotive &amp; Manufacturing industry subject-matter expertise is desired but not required.<br>
<br>
Key job responsibilities<br>
<ul><li>Craft &amp; develop compelling stories, content and tools (e.g. presentations, whitepapers, infographics, webinars, customer success stories, product videos.) that land our Automotive &amp; Manufacturing value proposition</li><li>Engage with customers and partners to drive advocacy</li><li>Own content strategy and execution for key communication channels including website, blog, social, on-network promotion, and emails</li><li>Plan and execute marketing initiatives at industry events to showcase Automotive &amp; Manufacturing messaging, content, keynotes, and breakout sessions</li><li>Collaborate with AWS field support teams to maintain internal sales hubs with the latest industry resources, value propositions, and sales enablement content</li><li>Partner with other marketing teams (e.g., web content, campaigns, demand generation, field teams, and events) to drive and execute on global marketing initiatives</li><li>Continuously measure and optimize product marketing initiatives</li></ul><br>
A day in the life<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
<br>
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>
<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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
<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&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
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>
<br>
Mentorship and 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</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of professional non-internship marketing experience</li><li>Experience in a marketing focused role including customer lifecycle marketing, segmentation reporting, customer funnel analysis, and top-line sales performance</li><li>Experience driving direction and alignment with cross-functional teams</li><li>Experience guiding creative input, development and execution from concept to completion</li><li>Experience presenting metrics and progress to goal to senior leadership</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years experience in Automotive &amp; Manufacturing industries</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Product Marketing Manager, Automotive & Manufacturing, AWS Industry Marketing, AWS Industry Marketing

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.<div></div><div>
We are seeking a highly skilled Senior Data Scientist who can apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!</div><div></div><div>
This role is on the S&amp;OP team, where we&rsquo;re creating digital infrastructure for the entire organization to organize and connect our sales through design and manufacturing to vehicle re-use. Our primary focus is on building scalable solutions that automate our business processes. You will bring your perspective to aerospace applications for Manufacturing, Supply Chain, and Engineering support across all Blue Origin&rsquo;s facilities. The ideal candidate will be hands-on and ready to dive in.</div><div></div><div>
Special Mentions:</div><ul><li>
Relocation provided</li><li>
Interviews will include a technical assessment</li></ul><div></div><div>
Responsibilities:</div><ul><li>
Design, implement, and optimize sophisticated machine learning (ML) models, including the collection and preparation of data</li><li>
Create algorithms that generate content based on learned data patterns</li><li>
Collaborate with Software Engineers to implement and deploy ML models in production environments</li><li>
Conduct model testing, validation, and optimization, and improve the efficiency, accuracy, and scalability of software systems</li><li>
Lead AI/ML projects and initiatives</li><li>
Work with cloud platforms and services, such as AWS, Azure, and Google Cloud</li><li>
Implement containerization and orchestration technologies via services like git, Docker, and Kubernetes</li><li>
Provide technical guidance and mentorship to junior team members, who are located across all of Blue Origin&rsquo;s main sites</li><li>
Maintain comprehensive documentation or models, tools, processes, and experiments</li></ul><div></div><div>
Qualifications:</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, or a related field</li><li>
7+ years of relevant experience designing ML models and deploying them to a production environment</li><li>
Strong proficiency in languages used in ML development, such as Python or R</li><li>
Proven experience with large language models (LLMs), deep learning, and generative AL models</li><li>
Experience with real-time analytics and real-time data processing pipelines, as well as proven success in optimizing and scaling ML models and infrastructure to handle high traffic and large datasets</li><li>
Excellent written and verbal communication skills for clear documentation and cross-team collaboration, with the ability to work with and communicate complex systems to a varied user base</li></ul><div></div><div>
Desired:</div><ul><li>
Proficient in deployment / version control services like git</li><li>
Strong project management skills with the ability to manage multiple priorities</li><li>
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud</li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $164,415.00-$230,179.95<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.</div></li><li><div>
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Senior Data Scientist - S&OP

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world&rsquo;s largest companies. With nearly two decades of experience supporting hundreds of thousands of startups, including 80% of unicorns, we democratize cloud computing to help founders bring their innovative ideas to life.<br>
<br>
We're seeking an experienced Software Development Engineer who wants to change the way we help Startups get started and grow on AWS. We strive to bring new tools, features, and innovations to the Startup community. We are building applications that will use modern architectures, new services patterns, and exciting technologies to ensure we are meeting our customers expectations for performance, availability, and features.<br>
<br>
In this role, you&rsquo;ll be responsible for developing and productionizing software that is stable, performant and scalable. You will ensure that software is delivered on time, directly addresses needs and customer pain-points. With minimal guidance, you will prioritize the correct work, and focuses on solving complex, ambiguous problems in both existing and new software initiatives through the application of appropriate technologies and best practices. You will make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. Success in this role means implementing data-driven product improvements and designing intuitive, scalable solutions that enhance the startup customer experience.<br>
<br>
The ideal candidate holds high technical standards for the themselves and their teammates, helps their team evolve by actively participating in code reviews, mentorships, and design discussions. They constructively identify problems, bottlenecks, and weakness within the system and propose solutions. They demonstrate personal ownership over, or vocally advocates for, projects and software enhancements that improve team processes and products. They have experience working with AI/ML technologies, and a strong track record of launching successful products using data-driven decision-making skills.<br>
<br>
On the Startup Team, you'll play a crucial role in democratizing cloud technology for startups worldwide, working with AWS's comprehensive startup resources including AWS service credits, technical training, startup events, exclusive offers, and personalized growth plans. Join us in leveling the playing field for startup founders globally by creating products that make world-changing ideas possible.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and maintain scalable software solutions that meet business requirements and customer needs</li><li>Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies</li><li>Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations</li><li>Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams</li><li>Mentor junior engineers and contribute to improving team's technical practices</li><li>Write high-quality, well-tested code following best practices and coding standards</li><li>Participate in code reviews and contribute to technical documentation</li><li>Drive operational excellence through monitoring, troubleshooting, and continuous improvement</li></ul><br>
About the team<br>
About the team<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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
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>
<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&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
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>
<br>
Mentorship and 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>
Internal job description</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>3+ years of programming experience with at least one modern language such as Java, Python, C++, C#, Typescript including object-oriented design.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>1+ years of experience in AI/ML engineering, working on agent systems or LLM applications.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Dev Engineer II, Startup Team

Explore 82+ Delivery consultant genai ml aws industries in Seattle this September. Find roles across top companies and apply now to boost your career.