Principal Sales Specialist, Analytics, US-FSI Technical Sales Specialists

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID. Remove boilerplate like EEO, legal, etc. Must preserve all substantive info. We need to parse the description. Let's extract sections: - About the role: The initial paragraph: "As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on "art of the possible" success stories and AWS enablers including ..." Then list of services. Then "You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case. The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions." That's a lot of prose. Could be split into About the role and maybe Responsibilities. Responsibilities: "Key job responsibilities 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." That's responsibilities. About The Team: "The Amazon Specialist Sales team positions AWS as the best place to move customer workloads into the cloud. As part of a single-threaded sales team focusing on Financial Services customers you will be responsible for working with strategic customers and their existing account teams to qualify and pursue sales opportunities for enterprise application workloads and datacenter migration projects. You will engage with our segment sales, solutions architects, partner, and professional services organizations to drive highly complex opportunities to closure. These opportunities will include migrating Data Warehouses and building Data Foundations for AI. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam." That could be part of About the role or separate section "About the Team". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It didn't list About the Team. So we should incorporate that content into About the role perhaps. Basic Qualifications: "7+ years of B2B or enterprise sales with a focus on hunting new business experience 10+ years of technology sales experience". That's requirements. Preferred Qualifications: list of items. Skills: maybe derived from responsibilities? But we can create Skills section if there is explicit skill list. Not explicit but we could infer from responsibilities: strategic sales leadership, technical acumen, etc. However we should not invent. Better to not create Skills unless explicit. The posting does not have a separate "Skills" heading. So we may omit Skills. Benefits: The posting mentions: "Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits." Thus we have Benefits content. Pay: The posting includes salary ranges for specific locations: "USA, CA, San Francisco - 187,000.00 - 252,900.00 USD annually USA, MA, Boston - 170,000.00 - 230,000.00 USD annually USA, NJ, Jersey City - 187,000.00 - 252,900.00 USD annually USA, NY, New York - 187,000.00 - 252,900.00 USD annually". Also mentions base salary range listed below. So we have Pay info. Schedule: Not mentioned explicitly except "Expect moderate travel." That's not schedule. No explicit schedule like full-time, part-time, remote. So we should not create Schedule section. Requirements: Basic Qualifications. Qualifications: Preferred Qualifications. We also have "About The Team" content; we could incorporate into About the role. We must not include boilerplate like EEO, legal, etc. Also remove duplicated lines. We need to output only HTML fragment, using

for section headings,

• for any list of duties/requirements/benefits, and

  for prose. We need to decide what goes into lists vs prose. Responsibilities: list of duties ->

  • . Requirements: list ->
    • . Preferred Qualifications: list ->
      • . Benefits: list ->
        • . Pay: could be prose or list. Probably list of locations with ranges. About the role: prose. We must preserve all substantive information. Let's extract each piece. First, About the role prose: combine initial paragraph plus The Amazon Specialist Sales team paragraph? Let's combine. We need to ensure we don't lose any details. Let's rewrite About the role prose: "As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on 'art of the possible' success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and analytics engine. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case. The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions. The Amazon Specialist Sales team positions AWS as the best place to move customer workloads into the cloud. As part of a single-threaded sales team focusing on Financial Services customers you will be responsible for working with strategic customers and their existing account teams to qualify and pursue sales opportunities for enterprise application workloads and datacenter migration projects. You will engage with our segment sales, solutions architects, partner, and professional services organizations to drive highly complex opportunities to closure. These opportunities will include migrating Data Warehouses and building Data Foundations for AI. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam." That seems comprehensive. Now Responsibilities list: - 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. We need to keep "Work with partners to extend reach & drive adoption." as one bullet. Now Requirements (Basic Qualifications): - 7+ years of B2B or enterprise sales with a focus on hunting new business experience - 10+ years of technology sales experience Note the phrasing: "7+ years of B2B or enterprise sales with a focus on hunting new business experience 10+ years of technology sales experience". It seems two separate bullets. Now Preferred Qualifications: We need to parse the list: "Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate Experience interpreting data and making business recommendations Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions Experience interpreting data and making business recommendations across leadership and cross-functional teams Experience using analytical tools for workforce metrics and reporting" Note there is duplicate "Experience interpreting data and making business recommendations" appears twice (once generic, once across leadership). We should keep both? The instruction says preserve ALL substantive information; do not invent or summarize away detail. Duplicated lines: we should remove duplicated lines. So we need to deduplicate. There are two similar lines; we can keep one? But they are slightly different: first generic, second "across leadership and cross-functional teams". They are not identical; but both start with "Experience interpreting data and making business recommendations". The second adds "across leadership and cross-functional teams". So they are not duplicates exactly; but they are similar. The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." Duplicated lines means exact duplicates? Likely exact duplicates. These are not exact duplicates because second adds phrase. So we keep both. Now Benefits list: - Sign-on payments - Restricted stock units (RSUs) - Sales incentives - 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 Also mention "Learn more about our benefits at https://amazon.jobs/en