A portrait photo of Allie Miller
Allie Miller is the global head of machine learning business development for startups and venture capital for Amazon Web Services. Miller consults AWS customers on everything from distributed model training to strategies on hiring a more diverse engineering team.
Courtesy of Allie Miller

Allie K. Miller wants to help others understand artificial intelligence

Amazon's machine learning leader for startups is also working to include more underrepresented groups in the workforce.

[Editor's note: Allie Miller left Amazon in July 2022.]

While she was in business school at the University of Pennsylvania, Allie Miller told her professor that all she wanted to do was find work in artificial intelligence (AI). His response: Then be a beacon for the space and go build the world's largest conference on AI.

Her internal reaction: “What are you talking about? That would be ridiculous.” But she tried anyway, inviting anyone in her class at Wharton who was interested to sign up for a roundtable focused on AI's role in business.

Six people responded. She gathered them at a pizza place, announced herself president, and recruited a co-president for a group that would eventually grow to hundreds of members and come to be known as the Penn AI Initiative, an effort that influenced a $5 million newly funded curriculum at Penn’s Wharton School. (The professor who encouraged her, author Adam Grant, is known for inspiring people to rethink basic assumptions.)

To some people, a class-wide invitation that drew six people would be discouraging. But for Miller, who is now global head of machine learning business development for startups and venture capital for Amazon Web Services (AWS), success is about building in increments.

"You have to think of everything as an avalanche that starts with one snowball," Miller said. "Being willing to be a beginner and not be a success from the beginning is probably the best thing I did for my career."

“There's no better job”

Since that pizza dinner years ago, AI technologies have seen widespread adoption across industry sectors. For many startups, the question isn't whether to use AI — it's where to start. Miller helps guide this process for AWS customers, consulting with them on everything from how to handle distributed model training on AWS to raising $100 million from venture capital to strategies on hiring a more diverse engineering team.

Nearly every company can benefit from integrating machine learning into their processes, Miller said. That's because the vast majority of data companies capture is unstructured. Leaving out this data means missing potential insights from emails, social media, images, video, and other assets that natural language processing and computer vision can capture and analyze.

I'm leading the fastest growing technology, machine learning, for the fastest moving market segment, startups, at the largest cloud provider in the world, AWS. There's no better job.
Allie Miller

"So much of AI is about being able to take into account more data sources and being able to manage that data with smarter research and smarter algorithms," Miller added.

Before coming to Amazon in 2019, Miller spent three years as a lead product manager at IBM Watson, where she helped the company advance its product development in conversational AI, computer vision, and multi-modal AI. She enjoyed her time at IBM but missed the startup world, where she had worked as a head of product and consultant for several years after graduating from Dartmouth College. A contact she met through Grant emailed her the AWS job posting. It was the kind of role she couldn't have dreamed of a few years before, she said. It was the first job of its kind in the world.

"When people ask me if I like my job, I say, 'I'm leading the fastest growing technology, machine learning, for the fastest moving market segment, startups, at the largest cloud provider in the world, AWS,'" she said. "There's no better job."

Expanding access to AI

As an undergrad at Dartmouth, Miller majored in cognitive science and studied natural language processing. "I loved the idea that you could code an email," she recalled. The focus within AI on understanding how humans think and make decisions appealed to her.

"I'm an extreme extrovert. So I just liked that AI was a field where I could combine my extreme math nerdiness and my obsession with statistics and computers with my love of hanging around people and learning how they think," she explained.

Still, her journey to Amazon was an iterative process, much like machine learning itself. She explored many career options, from music production to speech pathology to corporate social responsibility.

Allie Miller, left, chats with with David Rogier, the CEO and co-founder of MasterClass, right, on stage at an event. Both are seated in white chairs, behind them is a large display screen with the title of their talk, their names, pictures, and titles.
Allie Miller, seen here talking with David Rogier, the CEO and co-founder of MasterClass, is on a mission to expand access to AI not just for businesses but as a career choice.
Courtesy of Allie Miller

"I don't think it was ever this light bulb moment of, 'Oh my God, I have to pivot into AI right now,'" she recalled. "Taking the inspiration of machine learning and applying it to my real life and thinking of it as this constant optimization and retraining has been wonderful for my career."

Now she’s on a mission to expand access to AI not just for businesses but as a career choice. Named to LinkedIn's Top Voices in Data and AI in 2019 and 2020, she has more than one million followers on the platform and writes extensively about topics such as getting started in machine learning, interesting use cases, and best practices in data management.

Miller also speaks at a variety of events and has championed the importance of “mentoring in public”, all with the goal of pulling in underrepresented groups into the field. Earlier this year, she was one of several women in AI leadership positions interviewed for Women in AI, a report by AWS partner Deloitte and their AI Institute. Her goal, she said, is to educate a billion people about AI.

Actively increasing diversity

As part of the effort to expand representation, she co-founded Girls of the Future, an organization that spotlights girls aged 13 to 18 who are innovating in STEM. The Geena Davis Institute on Gender in Media has found that, "Nearly 80% of young women say that in order to pick STEM as a career, it was critical to see other women in STEM."

One of the misconceptions business leaders have about expanding diversity, Miller said, is that you recruit, hire, and check the box that you've made the effort. But creating real change in the industry is about so much more than that.

"It's actually creating inclusive environments. It's creating transparency in how they get promoted. It's providing them mentorship opportunities. It's providing clear guidance on how to get to the next level. It's the ability to have learning budgets to be able to upskill, or free training. It's a guarantee of equal management opportunities," she said. "Recruiting is just the beginning."

Many people who write to Miller wonder how AI will affect their particular field and how they can get started in learning about it. She counsels people not to be scared away by jargon and to start small: read one article, listen to one talk. Subject matter experts can start by learning about AI in their own fields.

"AI is for all people, even if you don't see yourself. It's for all fields, even if you don't hear about yours. And it's at all levels — startups, enterprise, public sector, academics. It doesn't matter what sector you're in," she said, "everyone can get involved."

Research areas

Related content

US, WA, Bellevue
Does the idea of creating technology solutions for delivering 11 Billion+ packages across the globe excite you? If yes, come join a fun-loving, diverse, and creative team at Amazon Last Mile! The vision of the team is "To create Earth’s safest, most adaptive, and efficient plans for Last Mile logistics". The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly, by devising innovative ways to deliver packages quickly and cost-effectively to the customers, and at scale using Artificial Intelligence (AI), Machine Learning and Operations Research solutions. Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space. Job Location : Bellevue WA or Austin TX. Key job responsibilities You have deep expertise in ML/AI, staying current with the latest research and techniques. You also invent or adapt new scientific approaches based on customer needs, producing high-quality research reports and contributing to peer-reviewed publications when appropriate You are a highly skilled software engineer whose work is consistently of high quality, meets industry standards, and incorporates best practices. You work semi-autonomously, contribute to operational excellence. You have strong interpersonal and leadership skills, effectively collaborating with your team, championing scientific advancements, onboarding new teammates, setting a high standard for your scientific contributions, and actively participating in the wider scientific community
US, TX, Austin
The Automated Reasoning Group in AWS Utility Computing is looking for a Senior Applied Scientist with experience in building scalable automated reasoning solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. You will apply your knowledge to propose solutions, create software prototypes, and develop prototypes into production systems using software development tools. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You have demonstrated leadership in automated reasoning positions in industry or academia, strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities As a Senior Applied Scientist, you will help shape the definition and vision for applied science across teams within AWS. We have a diverse portfolio of projects that target protocol, code, and hardware verification, and leadership opportunities exist for: - Advance automated code-level reasoning and invariant synthesis and proof repair for cloud-scale web services. - Build new engines and extending foundational proof engines that apply to distributed systems. - Researching the application of automated reasoning to novel software applications. - Building automated reasoning solutions for critical AWS DSLs for architectural configuration, migration, code generation, and other areas. - Improving integration and user experience of tools to support large-scale adoption and use of automated reasoning techniques. You will work in an agile, startup-like development environment, where you are always working on the most important things, and you will design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. About the team 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 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. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
US, WA, Seattle
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities We seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.
US, WA, Seattle
The Worldwide Defect Elimination (WWDE) Science team in Amazon Customer Service builds state-of-the-art Artificial Intelligence (AI) models to enable defect-free shopping experiences for Amazon customers. We develop technology and mechanisms to discover, root cause, measure, and escalate defects for resolution before they impact a broader range of customers. We are looking for a creative problem solver and technically-skilled Research Scientist able and interested in building AI solutions to address customer issues at scale. The ideal candidate will lead the development of innovative solutions that identify, root cause, attribute, and summarize problems embedded in large volumes of customer feedback in different modalities. They will also utilize the latest advances in GenAI technology to explore billions of customer contacts and automate defect resolution workflows. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of defect elimination research forward. This candidate should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences. Key job responsibilities * Apply science models to extract actionable information from large volumes and varying modalities of customer feedback * Leverage GenAI/Large Language Model (LLM) technology for scaling and automating defect elimination workflows * Design and implement metrics to evaluate the effectiveness of AI models * Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners * Perform statistical analysis and statistical tests including hypothesis testing and A/B testing * Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team The Worldwide Defect Elimination (WWDE) team's mission is to understand and resolve all issues impacting customers at scale. The WWDE Science team is a force multiplier within this group, helping to to apply science solutions to eliminate defects and enhance customer experience.
AE, Dubai
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers 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 ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will * Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges * Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production * Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder * Provide customer and market feedback to Product and Engineering teams to help define product direction
US, WA, Bellevue
We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilities You will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. A day in the life On our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team.
US, MA, Westborough
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on. Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-robotics
IL, Tel Aviv
Are you a MS or PhD student interested in a 2024 Research Science Internship, where you would be using your experience to initiate the design, development, execution and implementation of scientific research projects? If so, we want to hear from you! Is your research in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? If so, we want to hear from you! We are looking for motivated students with research interests in a variety of science domains to build state-of-the-art solutions for never before solved problems You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science Key job responsibilities As a Research Science Intern, you will have following key job responsibilities; • Work closely with scientists and engineering teams (position-dependent) • Work on an interdisciplinary team on customer-obsessed research • Design new algorithms, models, or other technical solutions • Experience Amazon's customer-focused culture A day in the life At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships and up to 12 months for part time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, UAE, and UK). Please note these are not remote internships.
US, WA, Bellevue
The AGI Data Service team is seeking a dedicated, skilled, and innovative Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As part of the AGI-DS team, a Research Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. A scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the life The Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, the scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.
US, WA, Seattle
Join us in building on AWS, for AWS! Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“Cloud Computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform. Developers all over the world rely on our storage, compute, and virtualized services. Our success depends on our world-class selling and field teams, and these teams rely on the Worldwide Sales Strategy and Operations (SMGS Ops) team to power their activities. We’re handling massive scale, providing data that drives the AWS business internally, and delivering products and services to help our Amazon Web Service selling teams, marketing groups, and customers. We’re looking for a Data Scientist to design and deliver solutions that combine machine learning, human-in-the-loop input, and distributed big data technologies. We're building a cutting-edge data platform to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest. This position may be based in Seattle, WA; Dallas, TX Key job responsibilities - Design solutions to complex and ambiguous data challenges, starting from first principles - Apply Machine Learning to solve data problems, such as record matching, at scale - Leverage company data from third-party sources in combination with internal AWS data to develop quantitative models answering critical business questions - Build human-in-the-loop workflows, to complement and augment ML solutions - Work with AWS machine learning and big data technologies such as Amazon Sagemaker, EMR, S3, DynamoDB, Lambda, and more - Experiment and explore new technologies to create innovative solutions - Use Natural Language Processing and language models to derive insights from unstructured sources like public company regulatory filings and annual reports About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. 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 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.