Senior Sales Specialist, Analytics, ISV

Description

Final date to receive applications:
Jul 25, 2026

As a Data & AI Sales Specialist in one of the fastest‑evolving areas of cloud technology, you’ll drive growth by helping customers build the modern data foundations that power Generative AI, Agentic AI, and advanced analytics at scale.

You will work backwards from customer goals to create strategic plans that align AWS solutions with their desired outcomes. You’ll educate customers on the "art of the possible", showing how a solid data foundation is the prerequisite for GenAI and Agentic AI workloads that depend on high‑quality data, open table formats like Apache Iceberg for interoperability and time‑travel queries, rich contextual metadata, and performant retrieval patterns (vector search, semantic indexing, RAG architectures) to ground AI outputs in trusted enterprise data.

• Amazon S3 Tables & Apache Iceberg — open, high-performance table storage that gives AI and analytics engines unified, governed access to lakehouse data
• Amazon Athena — serverless SQL and Apache Spark queries directly on S3 and Iceberg tables
• Amazon EMR — a managed big data platform for Spark, Hive, Presto, and Trino workloads at any scale
• Amazon Redshift — a managed petabyte-scale data warehouse with native AI/ML integration and zero-ETL connectivity for fast SQL analytics
• AWS Glue — serverless data integration for ETL, data quality, and catalog management
• AWS Lake Formation — simplified data lake creation, fine‑grained access control, and cross‑account governance
• Amazon Kinesis & Amazon MSK — real-time data streaming and event processing to keep AI context fresh
• Amazon Open Search Service — managed search, observability, and vector-based retrieval for RAG and semantic search
• Amazon Bedrock & Amazon Sage Maker — fully managed generative AI and ML platforms for building, customizing, and deploying foundation models and agentic workflows
• Amazon Bedrock Knowledge Bases — managed RAG pipelines that connect foundation models to enterprise data sources for grounded, contextual AI responses

You’ll help customers understand that GenAI and Agentic AI are only powerful as the data behind them, reliable context, governed retrieval, and a modern lakehouse architecture separate proof‑of‑concept demos from production‑grade AI that drives real business transformation. You will then work with a specialized Solutions Architect to design end-to-end architectures spanning these services and selected partner products, and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept, and building a supporting business case.

• Drive revenue and market share in a defined territory.
• Meet or exceed annual revenue targets.
• Develop and execute against a comprehensive account/territory plan.
• Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.
• Create & articulate compelling value propositions around AWS analytics services.
• Accelerate customer adoption of Amazon analytics services.
• Maintain a robust sales pipeline leveraging sales force automation tools and best practices
• Work with partners to extend reach & drive adoption.
• Develop long-term strategic relationships with key accounts.
• Ensure customer satisfaction.
• Expect moderate travel.

• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
• 5+ years of business development, partner development, sales or alliances management experience

• Experience developing detailed go-to-market plans
• Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business
• Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
• Experience identifying, developing, negotiating, and closing large-scale technology projects for global customers
• Experience (technical or educational) in Engineering or Computer Science

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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