At a Glance
- Tasks: Help AI startups thrive by leveraging AWS GenAI offerings and GPU solutions.
- Company: Join the innovative AWS team dedicated to empowering next-gen startups.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of AI technology and make a real impact on startup success.
- Qualifications: Experience in business development, advanced compute technologies, and strong storytelling skills.
The predicted salary is between 63000 - 77000 £ per year.
Are you a customer-obsessed builder with a passion for helping top next generation AI Startups achieve their full potential? Do you have the business savvy and startup experience? Do you have the technical skills necessary to help position AWS GenAI offerings and assist startups in their GPU demands? Do you love building new strategic and data-driven businesses and have the tech-savvy sales skills to work with the latest generation of Frontier GenAI customers? Join the Worldwide Specialist Organization (WWSO) startup team as a GenAI Infra Specialist!
This position is part of the WWSO Startup team in EMEA, where you will support the Accelerated Compute and GPU business, going deep with customers to understand their AI Compute demands, capacity requirements, translating their needs to AWS Compute offerings, and work with top Frontier AI customers on their AWS journey.
Key job responsibilities:
- Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore partnerships for the most strategic GenAI startups at AWS.
- Execute end-to-end deal ownership - from technical qualification to deal sizing.
- Collaborate with AWS Custom Silicon, Compute, and Infrastructure Product teams to create solutions that solve customer problems.
- Manage and Prioritise capacity allocation for Startups.
- Develop and deploy programs that leverage AWS Field teams, as well as technology and consulting partner channels.
- Own the GTM strategy and execution for GenAI, collaborating with teams in the field including Sales, Partners, Marketing, and other Specialists.
- Work with Marketing to develop and align digital marketing campaigns to drive awareness and demand.
A day in the life: You will be part of the WWSO Startup team, where you will be a Technical Business Developer that helps start-ups adopt AWS’ technologies with a focus on GenAI, among others. You will 1/ Be the best storytellers and technologists, 2/ Work with the most promising start-ups, 3/ Scale tech knowledge via products, programs, and the AWS Field, and 4/ Gather critical startup feedback to inform our product roadmaps.
About The Team:
The WWSO (Worldwide Specialist Organization) helps customers adopt our newest and most advantageous technologies, sitting in the sweet spot between product teams, account sales teams and customer success roles. We are technology specialists, who work backwards from our customers’ most complex, business-critical problems to dive deep and guide customers through technical expertise, joint with building and executing go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include technical solutions architecture roles and technical business development roles. The WWSO Startup team is a segment of WWSO dedicated to going deep with startups in their domain or technology. We work with AWS Service Teams to ensure services and features continue to match the accelerating speed of startup development. We also support the wider Startup ecosystem, partnering with VCs to best support a startup's journey on AWS.
Basic Qualifications:
- Bachelor's degree.
- Experience in developing, negotiating and executing business agreements.
- Experience in Go-To-Market, Business Development, Sales, or Consulting.
- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Familiarity with agentic coding tools, open-source software and working knowledge of software development tools and methodologies.
Preferred Qualifications:
- MBA.
- Experience developing and delivering presentations to large and diverse audiences.
- Startup background and experience at a VC or PE-backed firm in a Product, BD, or Sales Executive capacity.
- Established track record of building rapport with Startup executives and closing strategic deals.
- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
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.
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.
Senior GenAI Infra Specialist, WWSO Startups employer: Amazon Web Services (AWS)
At AWS Professional Services, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our team is dedicated to professional growth, offering mentorship and opportunities to work on cutting-edge AI projects in a flexible environment that values work-life harmony. Join us in London to collaborate with diverse experts and make a meaningful impact in the world of cloud and AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI Infra Specialist, WWSO Startups
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Amazon Web Services (AWS) or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Amazon Web Services (AWS).
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Amazon Web Services (AWS).
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Amazon Web Services (AWS) that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior GenAI Infra Specialist, WWSO Startups
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Amazon Web Services (AWS).
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Amazon Web Services (AWS) and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Amazon Web Services (AWS)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Amazon Web Services (AWS) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
