Solution Engineer

Senior Solution Engineer

Snowflake

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. 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. IN THIS ROLE YOU WILL GET TO * 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 ON DAY ONE WE EXPECT YOU TO HAVE * 7-8 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. * 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. * 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. * University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. * Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required ABOUT OUR TEAM 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. ABOUT SNOWFLAKE Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. COMPENSATION & BENEFITS * $260,000 - $280,000 OTE * Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget. 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

Sales Engineering Enablement, Principal

Snowflake

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 seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: * Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed * Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM * Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data * Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just completion. This requires technical building skills. * Act as the connector and translator between Product, Field, Leadership, and the Learner; managing intake, building targeted technical content, measuring whether the field activated on the learning, and aligning to release cadence. * Establish yourself with SE leadership as a key member of their extended leadership team * Scale local enablement to org-wide capability, capturing what's working and packaging it for the rest of the field * Collaborate with the Global SE Onboarding team to shape and continuously refine the everboarding program based on the segment's needs REQUIRED SKILLS: * A minimum of 10 years of related experience with a focus on enterprise software, solution engineering, and enablement in the data space * Bachelor’s degree * Exceptional business, technical, and sales acumen * Should have deep technical expertise in skills database OLAP/OLTP, SQL, and/or Python * Snowflake experience, SnowPro Core, and/or SnowPro Advanced is a plus * Data science or Spark experience is a plus * Experienced in designing, building, and delivering enablement programs * Ability to lead through influence * Ability to establish sponsorship and secure support from a diverse group of internal stakeholders and cross-functional partners to successfully deliver programs * Ability to manage competing priorities across multiple projects, while meeting deadlines and producing quality deliverables * Highly organized with excellent communication skills (including presentation skills) * Experience working in a fast-changing environment that requires strategic thinking, resourcefulness, agility, results-oriented decision-making, and commitment to excellence 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 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

Senior AI Engineer, Enterprise

Snowflake

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. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: * Design and build scalable backend services and distributed systems that power production AI and agentic applications. * Develop APIs, orchestration services, and platform capabilities for internal AI products. * Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries. * Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements. * Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency. * Leverage Snowflake Cortex, Snowpark, and the broader Snowflake AI ecosystem to build intelligent data applications. * Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems. * Collaborate closely with product managers, data engineers, designers, and GTM stakeholders to deliver high-impact AI solutions. * Stay current with advances in AI engineering and help drive adoption of modern technologies, frameworks, and development practices across the team. WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: REQUIRED QUALIFICATIONS * 5+ years of professional software engineering experience with a Bachelor's degree (or higher) in Computer Science, Software Engineering, or a related technical field. * Strong proficiency in Python (3.11+) with experience writing production-quality, well-tested, maintainable code using modern Python practices. * Experience building RESTful APIs and backend services using FastAPI or similar frameworks. * Experience designing and operating distributed systems and microservice architectures. * Strong understanding of software engineering best practices, including testing, CI/CD, code quality, observability, and production operations. * Experience with containerization technologies such as Docker. * Hands-on experience building production AI applications using large language models. * Experience with prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks. * Strong problem-solving skills, excellent communication, and the ability to work effectively in a fast-paced, collaborative environment. PREFERRED QUALIFICATIONS * Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI. * Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks. * Experience with AI evaluation, monitoring, guardrails, and observability frameworks. * Familiarity with model serving, inference optimization, and AI infrastructure. * Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows. * Experience building full-stack AI applications using Streamlit, React, or similar frameworks. * Experience with Python data libraries such as pandas and NumPy. * Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments. * Experience working with cloud-native infrastructure and Kubernetes is a plus. WHY JOIN OUR TEAM? Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization. This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally. If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you. 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