Snowflake

Solutions Engineer

• 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

Senior Solution Engineer, Retail & Consumer Goods

Manager

• Own and execute a strategic vision for Professional Services.
• Work with clients to unlock the power of data and fuel digital transformations.
• Manage high-impact projects, ensure seamless delivery, and drive revenue growth.
• Work cross-functionally with top industry experts to shape the future of cloud data solutions.
• Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences.

Senior Practice Manager, Healthcare – Life Science

AI Engineer

• Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications.
• Contribute across the full development lifecycle, from technical design and implementation to testing, deployment, and operational excellence.
• Collaborate closely with engineers, product managers, and cross-functional teams to deliver high-quality features and platform capabilities.
• Drive improvements to system reliability, scalability, performance, and developer productivity.
• Participate in architecture and design discussions, helping shape technical direction and engineering best practices.
• Build and operate cloud-native infrastructure and services running on Kubernetes.
• Improve deployment, observability, and operational workflows for services running in containerized environments.
• Debug and resolve complex production issues across distributed systems, Kubernetes infrastructure, and platform services.
• Build and enhance internal tools, including our coding agent/orchestrator, to create AI-assisted workflows that enable self-serve building of production features end-to-end on the platform through prompts.
• Contribute to a strong engineering culture through code reviews, knowledge sharing, mentoring, and operational ownership.

Senior Software Engineer – AI Platform

Product Designer

• Drive a significant, complex, and technical product area forward, shaping vision and owning execution
• Design AI-native product experiences that help customers work faster, make better decisions, and unlock more value from their data
• Delight customers by designing high-quality products that deliver meaningful value
• Champion user empathy in everything you do, evangelizing partners to do the same
• Raise the bar for how Snowflake designs intelligent, trustworthy, and usable AI experiences
• Identify and drive design opportunities by connecting the dots between user and business needs
• Collaborate and effectively influence your engineering and product partners to design and deliver excellent products
• Work end-to-end by identifying opportunities, establishing the vision, and working with engineering to deliver high quality, robust solutions
• Collaborate with the broader design team to ensure a seamless product experience
• Prototype quickly using AI tooling, coded prototypes, and lightweight experiments
• Define interaction patterns for AI experiences that account for ambiguity, confidence, feedback loops, explainability, and user trust
• Partner with cross-functional teams to evaluate AI experiences using both qualitative and quantitative signals
• Deliver detailed, robust design solutions, and work directly with engineering to ensure a high quality product reaches the hands of our customers
• Utilize and extend Snowflake’s Design System
• Develop strong rationale for design decisions, and articulate your perspective

Senior Product Designer

Data Scientist

• Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making.
• Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails.
• Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work.
• Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features.
• Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas.
• Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project.
• Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work

Senior Manager, Product Data Science

• Present Snowflake technology and vision to executives and technical contributors
• Work hands-on with prospects to demonstrate and communicate Snowflake technology value
• Maintain a deep understanding of competitive technologies and how to position Snowflake
• Collaborate with Product Management, Engineering, and Marketing to enhance Snowflake’s products

Senior Solution Engineer – Federal

Senior Solution Engineer, Media – Entertainment

Account Executive

• Become an expert on the Observe platform and its integration with Snowflake, conducting discovery calls, tailored demos, and presentations for prospective customers focused on observability, monitoring, and data-driven operations
• Act as a trusted advisor by understanding customers’ existing and future data, infrastructure, and observability strategies, positioning Observe as a critical component of their modern data stack
• Qualify prospects and develop new sales opportunities, while building and maintaining a strong pipeline of recurring revenue
• Drive full-cycle sales motions—land, adopt, expand, and deepen relationships with accounts in your region
• Achieve and exceed sales quotas on a quarterly and annual basis by developing a strategic territory plan, target account list, and regional go-to-market approach
• Collaborate cross-functionally with sales engineering, product, professional services, marketing, legal, and finance teams to deliver value-driven solutions

Enterprise Account Executive, Observability

• 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

Senior Solution Engineer

Full-stack Engineer

• Develop orchestration layer/ control-plane of large scale databases
• Work with AWS, Azure, and GCP APIs
• Build High Availability and Disaster Recovery solutions
• Tune Postgres to operate at scale for some of the largest datasets in the world
• Secure and ensure customer data is protected

Senior Software Engineer – Snowflake, Postgres Control Plane

• Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.
• Design, implement and maintain scalable distributed systems for our cloud automation platform that include cloud control plane, Kubernetes container platform and traffic and networking.
• Work directly with customers to quickly understand their critical problems and design and implement solutions.
• Deploy and maintain availability of cloud compute servers and Kubernetes clusters that power the Snowflake platform in sensitive (sometimes air-gapped) production environments using automation.
• Implement software delivery pipelines that support continuous delivery and automatic compliance in sensitive runtime environments.
• Ensure operational readiness of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.
• Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments.
• Identify, troubleshoot, and solve network & systems issues.
• Use AI-driven tooling to automate operational tasks.

Senior Software Engineer – Natsec

• Core metadata storage and retrieval systems that power Snowflake's catalog, lineage, and governance products
• High-throughput, low-latency distributed services in a cloud-native environment
• APIs and frameworks consumed by internal teams and external customers
• Observability, reliability, and operational tooling for production metadata services
• Scalable data models that evolve with Snowflake's rapidly growing feature surface

Senior Software Engineer – Metadata

• Design and deliver major end-to-end features in the ingestion control-plane services.
• Drive multi-quarter technical initiatives across the ingest surface like Snowpark Connect.
• Partner with architects, PMs, and adjacent teams to shape designs that scale across cloud providers and large enterprise footprints.
• Write and review design docs, set technical direction on cross-team work, and own the bar for code quality and operational excellence in your area.
• Mentor mid-level and junior engineers; raise the team's overall design and review quality.
• Engage directly with enterprise customers to root-cause production issues, prototype fixes, and turn customer feedback into roadmap signal.

Senior Software Engineer – Ingestion for Spark

Financial Planning and Analysis

• Oversee and manage the end-to-end lifecycle of Field Finance and Deal Desk related system projects, from initial demand tickets to final implementation.
• Lead the development and refinement of Business Requirements Documents (BRDs), test case scenarios, and User Acceptance Testing (UAT) for all projects.
• Manage and prioritize the backlog of system projects, enhancements, and cross-functional requests to align with business needs and strategic objectives.
• Serve as the primary point of contact for technical project requests and system changes originating from Legal, Accounting, Operations, Alliances, Snowflake Services and other departments.
• Collaborate with cross-functional stakeholders to gather business and technical requirements, define project scopes, and ensure seamless execution of projects that impact the Field Finance team.
• Lead the project management and implementation of key system changes, including the integration of new platforms like Ironclad CLM, Salesforce CPQ, Docusign eSignature, and AI functionalities.
• Develop and maintain comprehensive, up-to-date documentation for all Field Finance processes, policies, and best practices.
• Manage and expand the Deal Desk Library and the internal Compass pages, ensuring all information is current, accessible, and accurate.

Senior Operations Manager, Field Finance

• Achieve sales quotas for allocated, prospective accounts and on a quarterly and annual basis by developing a sales strategy in the allocated territory
• Develop marketing plans with the marketing team to drive revenue growth.
• Be the trusted advisor to the customer by understanding their existing and future IT roadmap to drive the Snowflake solution within the marketplace.
• Prospect qualification and the development of new sales opportunities.
• Arrange and conduct initial Executive and CxO discussions and positioning meetings.
• Sales process management and opportunity closure.
• Be familiar 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.