AI Solutions Specialist
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is looking for an accomplished AI Deployment Specialist to lead the sales of our custom AI solutions. This is a strategic position that will involve close collaboration with the field organization, Product Sales team, Industry team, and AI Product team. The goal is to ensure successful customer adoption of Snowflake's AI and Machine Learning capabilities, achieved through custom-developed solutions that address critical and transformative business problems, delivering significant ROI.
RESPONSIBILITIES :
Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list.
Execute tailored sales plays to capture market opportunities in AI/ML, helping customers optimize their use of Snowflake's AI platform.
Work directly with customers to understand their AI/ML needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements.
Become an expert in Snowflake’s Artificial Intelligence and Machine Learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s AI/ML capabilities and solutions to address clear business outcomes.
Work with our Product Sales teams, Industry Specialists, Account Executives, Sales Engineers and AI Product teams to drive customer engagements from discovery and qualification through solution implementation and deployment.
Track, analyze, and report on AI/ML sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement.
Partner with the broader cross-functional organization to integrate AI/ML sales efforts with Snowflake’s overall go-to-market plans.
Conduct in-depth discovery to understand complex business challenges and architect sophisticated agentic AI solutions to address them.
Develop and write comprehensive Statements of Work (SOWs) for custom AI/ML solutions.
Navigate complex sales cycles, from initial discovery through negotiation and closing.
Negotiate commercial terms and agreements with key stakeholders.
MINIMUM QUALIFICATIONS :
15+ years of professional experience and at least 7 of years sales experience with consistently exceeding sales objectives selling technical solutions and software products to Enterprises, Fortune 500, as well as Startups.
A strong track record of meeting or exceeding revenue targets in highly competitive markets.
A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities.
Proven ability to independently manage, develop, and close new client relationships.
Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels.
In-depth knowledge of AI/ML and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
Strong ability to work across cross-functional teams including Field Sales, Sales Engineering, Professional Services, Marketing, and Product.
Demonstrated experience in selling business outcomes and solutions that address complex, transformative business problems.
Proven experience conducting deep discovery to understand business challenges and architecting complex agentic AI solutions.
Experience in writing and negotiating Statements of Work (SOWs) for custom solutions.
Demonstrated ability to navigate and close complex sales cycles.
Exceptional executive communication skills, capable of influencing and advising at the highest levels of customer organizations.
PREFERRED QUALIFICATIONS :
Experience operating in professional services sales, solution sales, overlay sales and/or driving product consumption through workloads and use cases.
AI, Enterprise Architecture Certifications and/or Masters Degree
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
How to Stand Out
- Build a mini‑project that integrates Excel with Snowflake’s Data Cloud (e.g., use Snowpark Python or SnowSQL to pull data into Excel via ODBC, then apply a simple AI model like a regression or clustering). Document the end‑to‑end workflow in a short video or PDF and include it as a portfolio link; interviewers will ask you to walk through the data pipeline and how AI acted as a “high‑trust collaborator.”
- Highlight concrete examples of “experimental mindset” in your résumé: list at least three rapid‑prototype AI deployments (e.g., prompt‑engineering with LLMs, low‑code AutoML, or custom Snowflake UDFs) where you measured impact (time saved, accuracy gain, revenue uplift). Be ready to discuss the hypothesis, test design, results, and iteration cycle.
- Demonstrate low‑ego teamwork by preparing a 1‑page “collaboration matrix” that shows how you’ve partnered with sales, product, and engineering remotely—include tools (Slack, Teams, Miro, GitHub) and communication cadence. In interviews, cite a specific conflict or mis‑alignment you helped resolve and the outcome.
- Tailor your cover letter and interview anecdotes to Snowflake’s “agentic enterprise” narrative: describe a situation where you empowered non‑technical users to self‑serve AI insights (e.g., building an Excel dashboard powered by Snowflake data and a GPT‑based assistant) and quantify the user adoption or efficiency boost.
- Research Snowflake’s compensation bands for AI‑focused roles (use levels.fyi, Glassdoor, and recent hiring data). Prepare a salary range anchored 5‑10 % above your target, backed by market data and your proven AI‑deployment ROI; practice a concise “value‑justification” script to use during the offer discussion.
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