Sr. Worldwide GTM Specialist - DynamoDB, Data & AI GTM

Amazon • San Diego, CA

1d • $147,900 - $200,100 • Remote

About The Position

The AWS Data and AI GTM team is seeking a Senior Worldwide GTM Specialist to drive cross-service go-to-market strategies that connect AWS's data platform (databases, analytics, storage) with AI/ML workloads — particularly agentic AI, generative AI, and foundation model integration patterns. This role sells across service boundaries, positioning the full AWS data platform as the differentiated foundation for AI-ready enterprises.

This role drives strategic GTM initiatives positioning DynamoDB as the default choice for operational workloads requiring single-digit millisecond latency, infinite scalability, and zero operational overhead — from internet-scale applications to agentic AI data layers.

Requirements

• 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 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
• Experience presenting to both technical and non-technical executive audiences
• Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology

Nice To Haves

• Experience interpreting data and making business recommendations across leadership and cross-functional teams
• Experience working with open data architectures and multi-engine analytics ecosystems
• Experience partnering across product, field, and partner organizations to drive large-scale GTM initiatives
• Experience influencing product direction through customer and market feedback

Responsibilities

• Develop and execute GTM strategies that accelerate DynamoDB adoption for mission-critical operational workloads — including internet-scale applications, gaming backends, ad-tech platforms, and agentic AI data layers requiring single-digit millisecond latency at any scale.
• Drive relational-to-DynamoDB modernization pipeline by defining migration GTM motions (Oracle/SQL Server/MySQL → DynamoDB), building assessment frameworks, and scaling engagement patterns that convert migration discovery into qualified pipeline across ENT, STRAT, and SMB segments.
• Position DynamoDB as the default NoSQL choice against competitive alternatives (MongoDB Atlas, Azure Cosmos DB, GCP Firestore/Bigtable) through trust-based differentiation rooted in operational track record, scale economics, and zero-ops architecture.
• Identify and scale repeatable customer engagement models — architectural GTM plays for single-table design adoption, global tables multi-region patterns, and DynamoDB-to-analytics integration (Streams, zero-ETL to Redshift/OpenSearch, S3 export) that drive cross-service attach and platform stickiness.
• Build scalable field enablement programs including migration playbooks, data modeling workshops, competitive battle cards, proof-of-concept guides, and prospecting day content that equip field specialists and SAs to independently sell DynamoDB modernization.
• Partner across AWS database, analytics, AI/ML, and partner organizations to define and operationalize DynamoDB's role in modern architectures — including integration patterns with Bedrock (agentic tool-use), Lambda (event-driven), and streaming services (Kinesis, EventBridge).
• Analyze customer adoption trends, competitive dynamics, and market signals (including SIFT insights, PFR demand signals, and field feedback) to identify growth opportunities, influence product roadmap priorities, and refine GTM positioning globally.
• Own worldwide metrics and reporting for DynamoDB GTM motions — tracking new workload adoption, migration pipeline velocity, cross-service consumption (DynamoDB → Streams → analytics), and competitive win/loss patterns to inform strategy iterations.
• Develop and execute cross-service GTM strategies that position the full AWS data platform (databases, analytics, storage) as the differentiated foundation for AI/ML workloads — including RAG architectures, vector search, knowledge graphs, and agentic AI patterns.
• Drive the "Data Foundations for AI" sales play and emerging motions (DAAP / Data and Agentic AI Accelerator Pathways) by defining customer engagement models that connect data modernization to AI readiness across maturity stages (crawl → walk → run).
• Position AWS's cross-service platform advantage against unified-story competitors (Snowflake, Databricks, GCP AlloyDB/Spanner, Azure Fabric) — leading with customer trust and adoption scale rather than portfolio breadth, with honest gap acknowledgement where needed.
• Identify and scale repeatable AI-attach engagement patterns — reverse-attach motions (Bedrock/SageMaker → new data consumption), NL2SQL gateway patterns, MCP-based agentic integrations, and semantic layer strategies that drive platform-wide ARR growth.
• Build scalable field enablement and positioning for cross-service storytelling — sales plays, working sessions, architecture decision guides, and prospecting day motions that help field teams sell across service boundaries (not within silos).
• Partner across AWS database, analytics, AI/ML, and storage teams to break down organizational boundaries and operationalize the platform story — aligning GTM messaging, joint customer engagements, and integrated pipeline motions that reflect how customers actually buy.
• Analyze AI-attach rates, pipeline velocity, competitive dynamics, and SIFT field signals to identify growth opportunities, quantify the data-to-AI pipeline, and influence GTM priorities across the Data and AI organization.
• Own worldwide metrics for Data and AI GTM motions — tracking DB→AI attach, AI→Data reverse attach, cross-service consumption, and play-level ARR (Created/Launched) to inform leadership decisions and strategy iterations.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed