Sr. Worldwide Specialist

Sr. Worldwide Specialist - Analytics, Data & AI GTM 1 week ago Be among the first 25 applicants Are you a customer‑obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, analytics background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building strategic and data‑driven businesses? Join the Data & AI GTM, Analytics team as a Sr. WW GTM Specialist for Amazon Redshift on AWS Within Data & AI GTM, this position is part of the Worldwide (WW) Specialist Team, where you will lead the global GTM strategy for Amazon Redshift on AWS, enabling customers to modernize their data analytics workloads and deliver insights with a fully managed, cost‑effective cloud data warehouse. You will be responsible for driving adoption of Amazon Redshift through strategic programs and global initiatives. You will influence specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your domain. You partner with technical and business teams across AWS and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer‑obsessed technical teams can make history. Key Job Responsibilities Serve as the global subject matter expert for Amazon Redshift across sales, solution architecture, partner, and marketing teams. Develop and scale Redshift GTM plays, sales assets, and enablement for key use cases (e.g., data warehousing modernization, real‑time analytics, ML inferences). Support strategic customer opportunities as a trusted advisor—aligning Redshift capabilities to customer requirements and differentiating against competitors. Drive field readiness and execution through training, account planning, and stakeholder engagement across geographies and segments. Partner with AWS service teams, Redshift product marketing, and field leadership to inform roadmap and GTM priorities based on market signals. Track and report on Redshift adoption trends, competitive dynamics, and revenue impact to influence GTM strategy. Serve as a thought leader for Redshift, delivering presentations at internal enablement sessions, customer briefings, and industry events. A Day in the Life Report on the state of the business and customers. Create and launch new sales plays with our field sellers and customers. Solve challenging and complex problems blocking revenue acceleration for the analytics portfolio. Welcome customers to executive briefings and deep dives to align on analytics strategy and roadmap. Basic Qualifications 5+ years of developing, negotiating and executing business agreements experience 5+ years of professional or military experience Bachelor's degree Experience developing strategies that influence leadership decisions at the organizational level Experience managing programs across cross‑functional teams, building processes and coordinating release schedules Experience selling enterprise software or cloud‑based applications Experience explaining complex technical concepts to various business and technical audiences 2 or more years experience building successful go‑to‑market programs that produce results at scale with a globally distributed field sales force covering account managers (prospectors) and specialist sellers (closers) for data and analytics products. Preferred Qualifications Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture Experience exceeding sales targets using a consultative, solutions‑focused approach or equivalent Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers Experience collaborating and influencing multiple teams across multiple organizations Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience working with large‑scale data mining and reporting tools (i.e. SQL, MS Power Query, Python) 10+ years of experience in cloud data analytics, enterprise software, or GTM leadership roles including Snowflake, BigQuery, Databricks, and relevant open source projects. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Job ID: A3111762 #J-18808-Ljbffr