Senior Solution Engineer, Retail & Consumer Goods

We need to produce HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title as heading. Must not include Job ID etc. Must remove boilerplate, for each section, use

heading, then content:

for prose,

• for lists. We need to parse the posting. Key content: - Intro about Snowflake and role description: "At Snowflake, we are powering the era of the agentic enterprise..." etc. That's about the role. - "We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. This is a remote role that requires about 25% travel. Candidates can sit anywhere in the USA." - Then "IN THIS ROLE YOU WILL GET TO:" bullet list: Present Snowflake technology and vision to executives and technical contributors at prospects and customers; Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation; Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them; Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. - Then "ON DAY ONE WE WILL EXPECT YOU TO HAVE:" list: 5-7+ years of industry experience with a minimum of 5 years within a pre-sales environment; Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.; 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.; Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.; A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.; Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric; Hands-on expertise with SQL, SQL analytics, and Python.; Ability to connect a customer’s specific business problems and Snowflake’s solutions; Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.; University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus.; Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required. - Then "Expect approximately 30% travel" (note earlier said about 25% travel; later says approx 30% travel). We'll need to capture travel info maybe in Schedule? Actually schedule is about travel? The instruction: Use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to map content to these sections. We need to decide which sections to include based on content. - About the role: intro paragraph describing role, mission, remote role, travel, location. - Responsibilities: the "IN THIS ROLE YOU WILL GET TO:" list (maybe also earlier responsibilities like work with sales team, strategize, demos, POC, close business). Could combine. - Requirements: maybe the "ON DAY ONE WE WILL EXPECT YOU TO HAVE:" list (experience, skills). Could be Requirements. - Qualifications: maybe education and preferred qualifications (degree, masters plus). Could be Qualifications. - Skills: maybe specific technical skills: SQL, SQL analytics, Python, machine learning, generative AI, AI code generation tools, etc. Could be Skills. - Benefits: The paragraph about benefits package: medical, dental, vision, life, disability insurance; 401(k); flexible spending & HSA; at least 12 paid holidays; paid time off; parental leave; employee assistance program; other company benefits. Also equity plan mention. - Pay: The compensation range: total on-target earnings $220,000 - $288,750; estimated base salary $165,000 - $216,562; eligibility for commission plan and equity plan. - Schedule: Travel expectations: about 25% travel (or approx 30% travel). Also remote role, candidates anywhere in USA. Could be Schedule section. We must not include sections with filler like "commensurate with experience". We have actual specifics. We must not include duplicated lines. Ensure we preserve all substantive info. We need to output only HTML fragment, no /, no markdown fences. Let's craft sections:

  About the role

  At Snowflake, we are powering the era of the agentic enterprise. We seek AI‑native thinkers who treat AI as a high‑trust collaborator, thrive in dynamic, fast‑moving environments, and move with an experimental mindset. As a Senior Solution Engineer you will solve customers’ most complex problems, work directly with the sales team and channel partners to understand needs, strategize winning sales cycles, provide value‑based demonstrations, support enterprise proof‑of‑concepts, and close business. You must share our passion for reinventing the database space, be comfortable in both business and technical contexts, interacting with executives and technical audiences. This is a remote role; candidates can sit anywhere in the USA.

  Maybe also mention travel: but we will put travel in Schedule.

  Responsibilities

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
  • Work hands‑on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
  • Immerse yourself in the ever‑evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
  • Understand customer needs, strategize on navigating winning sales cycles, provide compelling value‑based demonstrations, and support enterprise Proof of Concepts to close business.
  Note we may have duplicated some items; ensure we keep all unique.

  Requirements

  • 5‑7+ years of industry experience, with a minimum of 5 years in a pre‑sales environment.
  • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
  • Proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
  • Broad experience with large‑scale database and/or data warehouse technology, ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
  • Hands‑on expertise with SQL, SQL analytics, and Python.
  • Ability to connect a customer’s specific business problems to Snowflake’s solutions.
  • Ability to do deep discovery of a customer’s architecture framework and connect it with Snowflake Data Architecture.
  • Experience with GSIs (EY, Deloitte, Accenture, etc.) is beneficial but not required.

  Qualifications

  • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.
  • Master’s degree in Data Science or Business Administration is a plus.

  Skills

  • Machine learning and generative AI solution development in the cloud.
  • AI code generation tools utilization.
  • SQL, SQL analytics, and Python proficiency.
  • Experience with data lake, data mesh, data fabric concepts.
  • Strong presentation and communication skills for technical and executive audiences.
  • Ability to perform deep architectural discovery and map to Snowflake data architecture.

  Benefits

  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan.
  • Flexible spending and health savings accounts.
  • At least 12 paid holidays.
  • Paid time off.
  • Parental leave.
  • Employee assistance program.
  • Other company benefits.

  Pay

  This role is eligible to participate in Snowflake's commission plan; total on‑target earnings are commonly $220,000 – $288,750. The estimated base salary range is $165,000 – $216,562. The successful candidate’s starting salary will be based on permissible, non‑discriminatory factors such as skills, experience, and geographic location. The role is also eligible for Snowflake’s equity plan.

  Schedule

  Remote position; candidates may be located anywhere in the USA. Expect approximately 25%–30% travel (about 25% travel mentioned earlier, with a later note of approximately 30% travel).

  We need to ensure we didn't include any boilerplate like EEO, legal, application instructions. We removed those. Check for duplicate content: We have responsibilities list includes some items that also appear in earlier paragraph about role; but that's okay as long as we preserve all substantive info. However we should avoid repeating exactly same sentences; but it's okay if we rephrase. We must not include headings with empty content. All sections have content. Check that we didn't include "About Our Team" etc. We omitted that as not requested heading; but we could incorporate some of that into About the role or Responsibilities? The "About Our Team" paragraph: "Our Solution Engineers are customer obsessed..." etc. That's substantive about team culture. Should we include? The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. The "About Our Team" is specific content about team values. Could be part of About the role or maybe a separate section like "Team". But we only have allowed headings list; we could put it under About the role or maybe under Responsibilities? Probably best to incorporate into About the role as additional paragraph. We should incorporate that content: "Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are