Global Senior Technical Account Manager, GFS

Amazon
London
1 month ago
Applications closed

Related Jobs

View all jobs

AWS Backend Engineer (Inside IR35)

Data & AI Solution Architect, Azure, Remote

Senior Data Engineer

Senior Data Engineer

Senior Product Manager

Senior Recruiter

Global Senior Technical Account Manager, GFS At AWSEnterprise Support we’re looking for a Technical Account Manager(TAM) to support our customers’ creative and transformative spiritof innovation across all technologies, including Compute, Storage,Database, Big Data / Analytics, Application-level services,Networking, Serverless and more. The TAM works with customers as atrusted advisor to enable their cloud journey and grow theirknowledge of AWS cloud services and technologies to support theirbusiness goals. As we continue to rapidly expand AWS’s EnterpriseSupport organization you’ll have plenty of opportunities to developyour technical, consulting, operational and leadership skills.You’ll work with talented cloud technologists whilst expanding yourknowledge of AWS products. You’ll also have the chance to receivementorship and active support to achieve AWS certifications. Thisrole is within our Strategic Industries team. The StrategicIndustries team is responsible for strategic accounts and sevenindustry business units across global verticals - FinancialServices, Industrial and Manufacturing, Media and Entertainment,Telecom, Healthcare and Life Sciences, Energy and Utility, andAutomotive. This role is in the Financial Services vertical. Werelooking for someone with experience in the Contact center &Telecom domain to help our customers achieve operational excellenceon Amazon Connect at scale. You’ll provide strategic guidance tocustomers on the implementation and operations of Amazon Connect,applying your knowledge of best practices to reduce operationalrisk, increase governance, and allow customers to get the most outof their Amazon Connect implementation. The TAM is the centrepieceof value to our Enterprise Support customers, working alongside thebroader dedicated account team. If you wish to be at the forefrontof customer strategies and innovation, come join us! Key jobresponsibilities: 1. Develop trusting relationships with customers,understand their business needs/drivers, review servicedisruptions, provide monthly/quarterly metrics and assist withpre-launch planning. 2. Utilize technical skills to solve difficultsupport issues and technical challenges. 3. Provide customers withtechnical expertise in your domain to achieve operationalexcellence in security, resilience, and efficiency. 4. Understandoperational parameters and troubleshooting processes for customerissues and escalations. 5. Advocate for customer needs to overcomeadoption blockers and drive new feature development. 6. Improvecustomer capabilities by running workshops, operations, andarchitecture reviews. 7. Ensure AWS environments remainoperationally healthy whilst reducing costs and drivingefficiencies to mitigate risks in customer operations plans andproduct adoption. 8. Work with customers across all levels fromdevelopers through to C-Suite executives. 9. Collaborate acrossmultiple functions within AWS, such as: Solutions Architects,Business Developers, Professional Services Consultants, Global TAMteams, and Sales Account Managers. A day in the life: In this role,youll leverage your technical knowledge to ensure our customersAmazon Connect implementations are flexible, scalable, andresilient on the AWS platform. As a trusted advisor, youll play apivotal role in ensuring customer success as they migrate theirworkloads to the cloud, ensuring their operational excellence onAWS. This includes providing deep process and technical expertiseto help customers overcome complex operational challenges. Withyour in-depth operations experience and knowledge, youll guidecustomers in understanding and implementing best practices foroperating in the cloud. This involves assisting customers inmitigating operational risks using scalable and cost-effectivesolutions on AWS. About the team: Amazon values diverseexperiences. Even if you do not meet all of the preferredqualifications and skills listed in the job description, weencourage candidates to apply. If your career is just starting,hasn’t followed a traditional path, or includes alternativeexperiences, don’t let it stop you from applying. Why AWS: AmazonWeb Services (AWS) is the world’s most comprehensive and broadlyadopted cloud platform. We pioneered cloud computing and neverstopped innovating — that’s why customers from the most successfulstartups to Global 500 companies trust our robust suite of productsand services to power their businesses. Work/Life Balance: We valuework-life harmony. Achieving success at work should never come atthe expense of sacrifices at home, which is why we strive forflexibility as part of our working culture. When we feel supportedin the workplace and at home, there’s nothing we can’t achieve inthe cloud. Inclusive Team Culture: Here at AWS, it’s in our natureto learn and be curious. Our employee-led affinity groups foster aculture of inclusion that empowers us to be proud of ourdifferences. Ongoing events and learning experiences, including ourConversations on Race and Ethnicity (CORE) and AmazeCon (diversity)conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career Growth: We’re continuously raising ourperformance bar as we strive to become Earth’s Best Employer.That’s why you’ll find endless knowledge-sharing, mentorship, andother career-advancing resources here to help you develop into abetter-rounded professional. Minimum qualifications: 1. Experiencein design/implementation/operations/consulting with distributedapplications. 2. Experience in technical engineering. 3. Experiencein a 24x7 operational services or support environment. 4.Experience in internal enterprise or external customer-facingenvironment as a technical lead. Amazon is an equal opportunitiesemployer. We believe passionately that employing a diverseworkforce is central to our success. We make recruiting decisionsbased on your experience and skills. We value your passion todiscover, invent, simplify, and build. Protecting your privacy andthe security of your data is a longstanding top priority forAmazon. Please consult our Privacy Notice to know more about how wecollect, use, and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon isan equal opportunity employer and does not discriminate on thebasis of race, national origin, gender, gender identity, sexualorientation, protected veteran status, disability, age, or otherlegally protected status. Our inclusive culture empowers Amazoniansto deliver the best results for our customers. If you have adisability and need a workplace accommodation or adjustment duringthe application and hiring process, including support for theinterview or onboarding process, please visit our website for moreinformation. J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.