14 Startups jobs in the United Kingdom

Description

Would you like to be part of a team focused on increasing adoption of Amazon Web Services by UK startups? Do you have a passion for generating new business? Do you have the technical background necessary to help establish Amazon as a key technology platform provider?

Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are now primarily born-in-the-cloud, represent a critically important and growing subset of customers to AWS. Startups have unique needs, priorities, and growth trajectories that distinguish them from traditional businesses and require different engagement strategies and sales motions from sellers to effectively acquire, grow, and retain them long-term on the AWS platform.

As AWS continues to grow, we seek a startup Account Manager to engage with UK Software startups. As a Startup Account Manager, you will help drive the growth of your customers, servicing their unique needs, engaging with Founders, CxOs, Board of Directors and VC influencers, and teaming with business development, marketing, solution architecture and partner teams to lead execution of coordinated go-to-market strategies



Key job responsibilities

In this role, you will be responsible for driving and growing revenue, establish AWS as the key cloud technology provider across the companies you manage, promoting the entire AWS products and services portfolio to customers while providing a great customer experience. You are passionate about software startups, a self-starter who is prepared to work in a fast-paced, often ambiguous environment, execute against ambitious goals, and consistently embrace the Amazon Culture.

You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like todayu2019s AirBnB, Slack, DoorDash, and Lyft.

Do you look around corners for ways to engage and service customers? Are you passionate about startups?



Your responsibilities will include

Ensure customer satisfaction.

Drive revenue and market share in a defined territory or industry vertical.

Meet or exceed revenue and goal targets.

Develop and execute a comprehensive account/territory plan to manage and grow numerous accounts concurrently.

Create & articulate compelling value propositions around AWS services.

Accelerate customer adoption.

Maintain a robust sales pipeline.

Work with partners to extend reach & drive adoption.



Basic Qualifications

IT/Tech/Cloud sales experience in closing new business and carrying quota

Proven track-record of consistent customer growth and quota achievement in IT sales

Experience selling cloud solutions at a technology company

Knowledge of core cloud computing concepts including compute, storage, database and higher order capabilities like microservices, analytics, serverless and machine learning

Knowledge of UK Startup landscape and passion for helping startups grow

Entrepreneurial u201cbuilderu201d mentality

Excellent verbal and written communication skills

Comfortable delivering results amid ambiguity and change





Preferred Qualifications

MBA/MA/MS degree or relevant experience.

A technical or educational background in engineering, computer science

History of working for, or selling to tech startups



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
Would you like to be part of a team focused on increasing adoption of Amazon Web Services by UK startups? Do you have a passion for generating new business? Do you have the technical background necessary to help establish Amazon as a key technology platform provider?
Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are now primarily born-in-the-cloud, represent a critically important and growing subset of customers to AWS. Startups have unique needs, priorities, and growth trajectories that distinguish them from traditional businesses and require different engagement strategies and sales motions from sellers to effectively acquire, grow, and retain them long-term on the AWS platform.
As AWS continues to grow, we seek a startup Account Manager to engage with UK Software startups. As a Startup Account Manager, you will help drive the growth of your customers, servicing their unique needs, engaging with Founders, CxOs, Board of Directors and VC influencers, and teaming with business development, marketing, solution architecture and partner teams to lead execution of coordinated go-to-market strategies
Key job responsibilities
In this role, you will be responsible for driving and growing revenue, establish AWS as the key cloud technology provider across the companies you manage, promoting the entire AWS products and services portfolio to customers while providing a great customer experience. You are passionate about software startups, a self-starter who is prepared to work in a fast-paced, often ambiguous environment, execute against ambitious goals, and consistently embrace the Amazon Culture.
You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like today's AirBnB, Slack, DoorDash, and Lyft.
Do you look around corners for ways to engage and service customers? Are you passionate about startups?
Your responsibilities will include
- Ensure customer satisfaction.
- Drive revenue and market share in a defined territory or industry vertical.
- Meet or exceed revenue and goal targets.
- Develop and execute a comprehensive account/territory plan to manage and grow numerous accounts concurrently.
- Create & articulate compelling value propositions around AWS services.
- Accelerate customer adoption.
- Maintain a robust sales pipeline.
- Work with partners to extend reach & drive adoption.
Basic Qualifications
- IT/Tech/Cloud sales experience in closing new business and carrying quota
- Proven track-record of consistent customer growth and quota achievement in IT sales
- Experience selling cloud solutions at a technology company
- Knowledge of core cloud computing concepts including compute, storage, database and higher order capabilities like microservices, analytics, serverless and machine learning
- Knowledge of UK Startup landscape and passion for helping startups grow
- Entrepreneurial "builder" mentality
- Excellent verbal and written communication skills
- Comfortable delivering results amid ambiguity and change
Preferred Qualifications
- MBA/MA/MS degree or relevant experience.
- A technical or educational background in engineering, computer science
- History of working for, or selling to tech startups
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description

Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the worldu2019s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers u2013 including the fastest-growing startups, largest enterprises, and leading government agencies u2013 are using AWS globally to become more agile, innovate faster and lower costs.



We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications.



You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more.



You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture.



Come build the future with us.



Key job responsibilities

Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance.

Ensure customer satisfaction through business value creation.

Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share.

Meet or exceed your quarterly and yearly goals.

Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation.

Act as an executive sponsor in key accounts.

Represent the company in professional events.



About the team

The AWS AGS start up team currently numbers over 1000 people globally, over 400 people in EMEA, with continued plans to scale year on year.



About AWS



Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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, thereu2019s nothing we canu2019t achieve.

AWS Global Sales



AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Basic Qualifications

Extensive leadership experience in technology related sales or business development teams. Experience interfacing with GenAI customers and partners. Track record of coaching and motivating high performing teams. Deep knowledge and network in the startup ecosystem. Experience driving results in complex, competitive customer engagements.

Preferred Qualifications

Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. Ensure customer satisfaction through business value creation. Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. Meet or exceed your quarterly and yearly goals. Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. Act as an executive sponsor in key accounts



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the worldu2019s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers u2013 including the fastest-growing startups, largest enterprises, and leading government agencies u2013 are using AWS globally to become more agile, innovate faster and lower costs.



We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications.



You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more.



You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture.



Come build the future with us.



Key job responsibilities

Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance.

Ensure customer satisfaction through business value creation.

Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share.

Meet or exceed your quarterly and yearly goals.

Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation.

Act as an executive sponsor in key accounts.

Represent the company in professional events.



About the team

The AWS AGS start up team currently numbers over 1000 people globally, over 400 people in EMEA, with continued plans to scale year on year.



About AWS



Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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, thereu2019s nothing we canu2019t achieve.

AWS Global Sales



AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Basic Qualifications

Extensive leadership experience in technology related sales or business development teams. Experience interfacing with GenAI customers and partners. Track record of coaching and motivating high performing teams. Deep knowledge and network in the startup ecosystem. Experience driving results in complex, competitive customer engagements.

Preferred Qualifications

Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. Ensure customer satisfaction through business value creation. Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. Meet or exceed your quarterly and yearly goals. Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. Act as an executive sponsor in key accounts



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the world's most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers - including the fastest-growing startups, largest enterprises, and leading government agencies - are using AWS globally to become more agile, innovate faster and lower costs.
We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications.
You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more.
You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture.
Come build the future with us.
Key job responsibilities
- Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance.
- Ensure customer satisfaction through business value creation.
- Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share.
- Meet or exceed your quarterly and yearly goals.
- Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation.
- Act as an executive sponsor in key accounts.
- Represent the company in professional events.
About the team
The AWS AGS start up team currently numbers over 1000 people globally, over 400 people in EMEA, with continued plans to scale year on year.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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's nothing we can't achieve.
AWS Global Sales
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Basic Qualifications
- Extensive leadership experience in technology related sales or business development teams. - Experience interfacing with GenAI customers and partners. - Track record of coaching and motivating high performing teams. - Deep knowledge and network in the startup ecosystem. - Experience driving results in complex, competitive customer engagements.
Preferred Qualifications
- Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. - Ensure customer satisfaction through business value creation. - Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. - Meet or exceed your quarterly and yearly goals. - Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. - Act as an executive sponsor in key accounts
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description

Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!



The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worldsu2019 leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Weu2019re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.



Key job responsibilities

* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities

* Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production

* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization

* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience

* Provide customer and market feedback to product and engineering teams to help define product direction

* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements



About the team

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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?



Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture



Here at AWS, itu2019s 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.



Mentorship & Career Growth



Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



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, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- PhD, or Master's degree and 6+ years of applied research experience

- 5+ years of hands on experience with Python to build, train, and evaluate models

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies

- Experience in patents or publications at peer-reviewed conferences or journals

Preferred Qualifications

- Experience working in a startup or with startup customers

- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches

- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation

- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools

- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!



The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worldsu2019 leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Weu2019re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.



Key job responsibilities

* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities

* Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production

* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization

* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience

* Provide customer and market feedback to product and engineering teams to help define product direction

* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements



About the team

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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?



Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture



Here at AWS, itu2019s 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.



Mentorship & Career Growth



Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



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, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- PhD, or Master's degree and 6+ years of applied research experience

- 5+ years of hands on experience with Python to build, train, and evaluate models

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies

- Experience in patents or publications at peer-reviewed conferences or journals

Preferred Qualifications

- Experience working in a startup or with startup customers

- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches

- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation

- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools

- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!
The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds' leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities
* Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements
About the team
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't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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's nothing we can't achieve in the cloud.
Basic Qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Experience in patents or publications at peer-reviewed conferences or journals
Preferred Qualifications
- Experience working in a startup or with startup customers
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation
- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description

Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!



The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worldsu2019 leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Weu2019re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.



Key job responsibilities

* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities

* Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production

* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization

* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience

* Provide customer and market feedback to product and engineering teams to help define product direction

* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements



About the team

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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?



Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture



Here at AWS, itu2019s 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.



Mentorship & Career Growth



Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



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, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- PhD, or Master's degree and 6+ years of applied research experience

- 5+ years of hands on experience with Python to build, train, and evaluate models

- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies

- Experience in patents or publications at peer-reviewed conferences or journals

Preferred Qualifications

- Experience working in a startup or with startup customers

- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches

- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation

- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools

- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.