Enterprises are modernizing data platforms at an exponential rate to meet demands for innovation, specifically with the rise of Generative and Agentic AI.

As a Senior Security Architect on the Applied Field Engineering team, you will drive strategic customer engagements and build the prescriptive frameworks required for the modern era.

Key Responsibilities

• FIELD ENGINEERING & SECURITY ARCHITECTURE
• Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake.
• Support customer strategy for secure AI adoption, leveraging Snowflake Cortex to bring state-of-the-art LLMs directly to customer data within a secure environment.
• Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries, autonomously orchestrating tasks while inheriting Snowflake's native security perimeter.
• Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through rigorous monitoring and tracing.
• Ensure AI governance by enforcing Role-Based Access Control (RBAC) and data masking across all AI-driven insights and automated actions.

• Modern Security Operations (SecOps): Deliver workshops and hands-on engagements to transition customers from legacy infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake.

• Governance & Identity: Build repeatable reference architectures and frameworks for Identity (IAM), Data Governance, Row-Level Security, and Encryption to accelerate well-architected deployments.

• Resilience & Compliance: Guide customers through end-to-end journeys for BC/DR (Business Continuity/Disaster Recovery), including multi-region deployment patterns and measurable recovery outcomes.

• Tooling and Content: Drive the creation of relevant technical content and tooling to showcase security best practices, accelerate new use case deployments, and adoption of new platform functionality.

• Voice of the Field: Influence product roadmaps by serving as the Voice of the Field to Snowflake's product and engineering teams, translating customer needs into actionable feedback.

Core Experience

• 5+ years of industry experience in Data, Security, Networking, Infrastructure or AI Engineering
• Communication Skills: Strong technical communications skills with the ability to deliver compelling demos, whiteboard sessions, and presentations to both technical and business stakeholders.
• Customer-facing Skills: The ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects.

Relevant Security Skill Sets

• Generative AI Security: Deep understanding of LLM security risks (e.g., prompt injection, data leakage) and mitigation strategies using tools like Cortex Guard.
• Agentic AI Governance: Expertise in governing Autonomous Agents, ensuring "Human-in-the-loop" controls and auditability for agent-driven actions.
• Data Privacy for AI: Mastery of techniques like Differential Privacy, Data Masking, and Secure Sandboxing to protect sensitive training and inference data.
• Platform Observability: Proficiency in observability techniques including logging, monitoring, and distributed tracing on a platform level.
• Identity and Access Management (IAM): Expertise in modern authentication/authorization protocols (OAuth 2.0, OpenID Connect) and implementing robust Role-Based Access Control (RBAC) models across cloud and on-premises environments.
• Secure Networking: Hands-on expertise in securing cloud and hybrid network architectures, including micro-segmentation, zero-trust principles, and secure deployment of services like Apache NiFi.
• Programming: Hands-on expertise with SQL, Python, and APIs.
• Container and Kubernetes Security: Proficiency in securing the container lifecycle, from build (image scanning) to runtime (Pod Security Standards, network policies, service mesh), and managing secrets within Kubernetes.
• Governance, Risk, and Compliance (GRC): Strong background in aligning security programs with regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing.

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Spend Management Ops supports the broader Spend Management organization , Accounts Payable, Travel & Expense, Procurement Contracts, Sourcing, and Procurement , by building AI-driven solutions, managing project delivery, stewarding the data that underpins those solutions, and developing forward-looking roadmaps for each domain.

We're looking for a Senior Business Systems Analyst who brings deep, hands-on experience in either Travel & Expense or Procurement & Sourcing and can operate credibly on both the business-process side and the technical side.

Delivery

• Take on higher-ambiguity, higher-risk work in your domain (T&E or Procurement & Sourcing) with minimal hand-holding.
• Proactively manage cross-team dependencies , with Engineering, BI, and the domain teams you support , rather than simply tracking them.
• Unblock others' delivery, not just your own.

Partnership

• Shape what your stakeholders should be asking for, rather than waiting to be asked.
• Be trusted on prioritization tradeoffs, including the ability to say no with a reason stakeholders accept.
• Operate as a de facto extension of the domain team you support.

Technical Capability

• Scope and ship solutions to ambiguous problems with minimal guidance , from process redesign to automation to AI-driven tooling.
• Before recommending a build, consistently evaluate whether the underlying process should change first.
• Set the technical standard for your domain , your patterns get adopted by others on the team.

Ownership

• Resolve most ambiguity independently; escalate only the genuinely hard calls, well-framed with a recommendation attached.
• Frame decisions so others on the team can reuse the same logic.

Influence

• Mentor or unblock colleagues working in adjacent domains.
• Introduce approaches that get adopted elsewhere on the team.
• Be the person others come to for a specific class of problem in T&E or Procurement & Sourcing.

What We're Looking For

• Deep, hands-on experience in Travel & Expense (e.g., Navan, Concur, expense policy administration, T&E audit/compliance) or Procurement & Sourcing (e.g., Zip, sourcing workflows, supplier management, contract lifecycle, PO/invoice processes) , enough to be credible with practitioners in that domain.
• Demonstrated ability to work across the business/technical boundary: you can sit in a process conversation with a domain team and a technical design conversation with Engineering/ET or BI in the same week.
• Track record of shipping solutions to ambiguous problems , process redesign, workflow automation, or AI-driven tooling , with minimal guidance.
• Experience partnering with cross-functional teams (ET, Engineering, BI, vendors) to deliver end-to-end solutions, including data validation and production support.
• Strong written and verbal communication , you can frame a hard tradeoff or escalation clearly enough that a stakeholder or leader can make a fast, confident decision.
• Comfort operating in ambiguity and building the process as you go.
• Bonus: familiarity with Snowflake, SQL, Streamlit, or other data/AI tooling used to build and steward Spend Management systems.

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We are looking for a 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 help customers grow in their use of Snowflake.

As a Snowflake Solution Engineer you must share our passion about reinventing the AI Data platform 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 Snowflake customers and prospects
• Work hands-on with customers to demonstrate and communicate the value of Snowflake technology; identify use cases, and guide the customer to successfully take them from demo to implementation, and a successful go-live.
• Present Customers with the innovations in Snowflake and the value these innovations add to their business.
• 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 WILL EXPECT YOU TO HAVE:

• 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
• Hands-on expertise with SQL and SQL analytics
• Ability to understand a customer's specific business problems and translate these to Snowflake use cases
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
• Travel Required

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You will be part of the Product Management team, working on various projects, including Artificial Intelligence and Machine Learning, Data Engineering and Development, Snowsight and user interface development, Product Platform, Data Platform, and Service Runtime.

Responsibilities:

• Contribute to product strategy and planning
• Conduct market research and competitive analysis
• Work on product design and user experience principles, particularly in the era of AI
• Understand data-driven decision-making
• Collaborate with cross-functional teams (engineering, design, marketing)
• Present findings and recommendations to senior management

Requirements:

• Actively enrolled in an accredited college/university program during the time of the internship
• Desired class level: 1st/2nd year MBA Students
• Interest in Product Management and the technology industry
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work as part of a team
• Dedication and passion for technology

Duration: 12 weeks, Summer (May/June- September)

Benefits:

• Paid, full-time internships
• Post-internship career opportunities (full-time and/or additional internships)
• Exposure to a fast-paced, innovative culture
• A chance to work with world-class experts on challenging projects
• Opportunity to provide meaningful contributions to real systems used by customers
• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
• Flexible hours, casual dress code, access to great office and benefits at the Menlo Park office

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The Agentic Analytics Product Marketing team sits at the center of that shift, taking products like Cortex Agents, Cortex Analyst, semantic views and interactive warehouses to market. As an Agentic Analytics intern on this team, you'll work directly with Product, Engineering, Sales, Developer Relations and Demand Gen to shape how the market understands and adopts Snowflake's answer to one of the most important questions in data and AI: how do you let agents do real analytical work that the business can trust? You'll get a front-row seat to how products are positioned and launched in the fastest-moving space in tech.

Responsibilities

• Help develop go-to-market strategy and positioning for Snowflake's agentic analytics portfolio
• Craft messaging that translates complex technical capabilities into clear business value
• Conduct competitive research and market analysis that directly informs product and sales strategy
• Build sales enablement assets, content briefs, and launch materials
• Partner closely with Product, Engineering, Sales, Developer Relations, and Demand Gen
• Present your work to senior leaders

Requirements

• Currently pursuing a Master's degree (or equivalent graduate degree)
• Analytical and curious: You like digging into data, competitive landscapes, and customer problems
• A strategic thinker who can zoom out on market dynamics and zoom in on crisp messaging
• Familiarity with databases, semantic layers, cloud platforms, or developer ecosystems
• Comfortable with ambiguity and fast-moving priorities

Nice-to-haves

• Prior experience in product marketing, product management, consulting, or technical roles
• Coursework or experience in product strategy, go-to-market strategy, or data analytics
• Excellent writer: You can distill complex ideas into clear, compelling narratives
• Technically fluent: comfortable exploring BI tools and getting hands-on with data products to form your own point of view.

Benefits

• Real ownership on live go-to-market initiatives
• Exposure to the full GTM machine at a leading AI company, including product, sales, engineering, developer relations, content, demand gen, and more
• A crash course in the Agentic Analytics and enterprise AI context, the market everyone is trying to understand right now

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Our Enterprise sales team is expanding and we are seeking a qualified Account Executive with expertise in the industry. In this role you will use your creative prospecting skills to strategically pursue net new business. Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects. You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas. Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs.

AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL:

• Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers
• 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 and ongoing revenue streams
• Land, adopt, expand, and deepen sales opportunities with accounts in your region
• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• Work closely with cross functional teams including sales engineering, professional services, marketing, legal and finance.

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• 6+ years sales experience with consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market.
• Demonstrable experience executing enterprise complex sales strategies and tactics within one of the following spaces Data Warehousing, Business Intelligence, Data Science and/or AI/ML
• 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.
• The ability to build our product and company like it’s your own, specifically defining and executing sales plans to meet strategic & financial targets, leveraging industry, partner & Go-to-Market knowledge
• This ability to provide open, honest and respectful feedback creating an inclusive work environment
• A reputation for Making Each Other Better: Resulting in long standing relationships with internal cross functional partners and the ability to create an inclusive work environment
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting multi million $ revenue targets on an annual basis.

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?

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Our Solution Engineering organization is seeking a Security Architect to join our APJ Field CTO Office to act as a security evangelist, architect, and hands-on subject matter expert/practitioner.

In this role, you will cultivate key customer and partnership relationships, demonstrate thought leadership, and act as a trusted security advisor to current and potential customers.

Responsibilities:

• Help to scope security related feature enhancements on behalf of customers to work with Product Management on ways to improve the product from a security perspective.
• Assist in clarifying concepts of data engineering, data warehousing, data collaboration, AI and Machine Learning.
• Share industry best practices, and features in the Snowflake platform;
• Assist in building demos and prototypes using Snowflake in conjunction with other integrated solutions;
• Engage with other relevant Snowflake stakeholders internally.
• Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and Support in order to drive customer security feature adoption.
• Partner with our Product Marketing team to define and support Snowflake's AI and Data Cloud posture and Security DataLake workload awareness and pipeline building via marketing initiatives including conferences, trade shows, and events.
• Work and collaborate with other Field CTO members in areas of: Enterprise AI, Gen AI, Data Engineering, Applications, as a security export you may be involved in collaborative engagements.
• Partner with the best in the industry product team, helping to shape vision and capabilities for Snowflake Data Marketplace.
• Share knowledge with internal and industry communities via webinars & conferences.

Requirements:

• 10+ years of industry, customer-facing, and hands-on implementation experience with a core focus on data concepts, privacy, governance, networking, infosec and security technologies.
• Strong understanding of security related concepts such as RBAC, OAuth, Identity and Access Management, encryption and data governance.
• Expertise and in-depth working knowledge and hands-on experience in cloud platforms (at least one of the following: AWS, Azure, GCP), and its corresponding security, data encryption, and networking architecture and technologies.
• Ability to build out demos, configure CSP environments, build out prototypes, and test use cases on the Snowflake platform and relevant integrations with CSP services and external security tools.
• Ability to create security and networking-related reference architectures, security best practices and hardening guides, and articulate them to a customer audience.
• A demonstrated knowledge of security frameworks such as NIST, CIS, OWASP, MITRE ATT&CK and how to articulate controls and security mechanisms within a Risk Assessment centred approach.
• Knowledge of ANSI SQL compliant databases and / or data warehousing is preferred
• AWS/Azure/GCP security and / or networking specialty related certification achievement is a plus
• Strong understanding of networking concepts, including TCP/IP, IP routing, DNS, Proxies and CSP private networking technologies including NAT, Firewalls, TLS and related design and troubleshooting.
• Strong knowledge of cloud networking, including cloud service providers like Azure, AWS, and GCP
• Strong understanding of identity management use cases, including authentication (SAML), authorization (OAUTH), and identity governance (SCIM & RBAC)
• Deep experience with large-scale infrastructure-as-a-service platforms (e.g., AWS, Azure, Google Cloud Platform, etc.)
• Excellent written and verbal communication skills, interpersonal and collaborative skills, presentation and whiteboarding skills to a large audience, and the ability to successfully communicate security and risk-related concepts to technical and nontechnical audiences.
• Fair understanding of the culture diversity across Asia Pacific Japan region and flexibility of working with customers and colleagues from multiple APJ time zones.
• Bachelor's degree in Information Security, Computer Science, Information Management Systems, or related field required. Masters preferred.

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As a Technical Architect, Migrations at Snowflake, you will be the hands-on technical lead on migration projects. You will design the target architecture and guide customers and partners from assessment through to go-live.

Responsibilities:

• Lead the technical design of migrations from Teradata, Oracle, Netezza, SQL Server, Hadoop and other legacy platforms to Snowflake, covering data, code, pipelines and security.
• Run migration assessments, analyse legacy code and workloads, and produce clear migration plans, estimates and target architectures.
• Use SnowConvert and Snowflake migration accelerators to automate SQL, stored procedure and ETL conversion, and guide teams on the parts that need manual work.
• Modernise data pipelines with Snowpark, Dynamic Tables, Snowpipe, and Streams and Tasks, and design for performance, cost and governance on Snowflake.
• Plan and run data validation, performance testing and cutover so customers move to production with confidence.
• Act as the trusted technical advisor to customer architects, engineering leaders and SI partners, and solve complex technical issues on site and remotely.
• Support Professional Services sales by scoping migration work, reviewing code assessments and shaping Statements of Work.
• Turn lessons from the field into reusable migration patterns, accelerators and best practices, and share feedback with Snowflake Product and Engineering.

Requirements:

• 8+ years of experience in data engineering, data warehousing or database architecture, including customer-facing consulting or delivery work.
• Hands-on experience leading at least one large data warehouse or database migration to a cloud data platform.
• Deep SQL skills and strong knowledge of data modeling, performance tuning and data warehouse design.
• Experience with ETL/ELT tools such as Informatica, DataStage, Talend, dbt or similar, and with orchestration and pipeline design.
• Programming experience in Python, Java or Scala.
• Working knowledge of at least one major cloud provider (AWS, Azure or Google Cloud).
• Clear communication with technical teams and business stakeholders, including leading workshops and presenting recommendations.
• Ability to travel to customer sites within Australia and New Zealand as needed.

Nice to have:

• SnowPro Core or SnowPro Advanced Architect certification.
• Experience with SnowConvert or other automated code conversion tools.
• Experience using GenAI or Snowflake Cortex AI to speed up code conversion, testing or data validation.
• Background in Teradata, Oracle Exadata or Hadoop administration or development.
• Experience working with SI partners on large delivery programs.

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We are seeking a proactive, highly adaptable Senior Workplace Technician to be the full-time, on-site anchor (Mon–Fri) of our office campus. You are a natural self-starter who brings a warm approachable energy, a customer-first mindset and a sharp eye for the details that make a workplace feel exceptional.

General Duties & Responsibilities: In this role, you will keep our daily office environment running smoothly by taking ownership of a diverse set of workplace and operational functions, including:

• Lead physical office modifications, move/add/change (MAC) activities, furniture assemblies, and spatial reconfigurations.
• Skilled in both digital workplace platforms (Google Workspace, Slack, ticketing systems, space planning apps) and practical, hands-on physical execution like furniture assembly, basic repairs, and everyday maintenance.
• Oversee campus EV charging stations by monitoring usage, troubleshooting technical issues on the spot, and partnering directly with vendors for hardware or software resolutions.
• Operational Optimization: Stay three steps ahead by spotting bottlenecks early and bringing fresh, creative ideas to make our physical facilities run smarter and more efficiently.
• Builds strong in-person relationships with cross-functional partners and team members to plan, coordinate, and deliver exceptional everyday workplace services.
• Resolve facilities tickets efficiently and with care, keeping communication transparent and ensuring every workplace request is handled to the highest standard.
• Manage project budgets efficiently: monitoring spend, driving cost-effective vendor solutions, and maintaining tight fiscal responsibility across all on-site initiatives.
• Vendor Management: Manage on-site third-party vendors and contractors, ensuring service partners consistently meet standards of accountability and performance quality.

Who You Are

• Experience: You've spent 5+ years in facility operations, managing multi-floor spaces or large corporate campuses where things move fast. If you have trade certifications (IFMA, BOC, LEED AP, or similar), that's definitely a big plus in our book.
• Ownership & Initiative: Drive project results from conception to completion with minimal supervision, keeping key stakeholders updated every step of the way.
• Self-Starter Energy: You don't wait for a manual. You love taking ownership, solving unstructured problems, and getting things done.
• Customer-Obsessed: You care deeply about people, bring great energy to every interaction, and take pride in crafting spaces people love working in.
• Adaptable & Resilient: You thrive in fast-paced environments, ride the waves of change effortlessly, and stay cool under pressure.
• Soft Skills: Excellent problem-solving skills, strong verbal and written communication, and a customer-service mindset.
• On-Your-Feet Readiness: Ready to move, lift up to 50 lbs, assemble or configure setups, and jump in to support occasional cool workplace events.
• In-Office Dedication: Thrilled to be on-site 5 days a week, acting as the anchor for our physical space and community.

Job Data by YubHub.

This is not a typical product marketing role. At Snowflake, you’ll help shape how the ASEAN market understands, adopts, and accelerates the future of the AI Data Cloud.

What You'll Do

• Lead Snowflake’s Product Marketing and Evangelism efforts across the ASEAN market.
• Build and execute go-to-market strategies and innovative programs that strengthen Snowflake’s market position and accelerate growth.
• Evangelize the AI Data Cloud through speaking engagements, social media, video, and community engagement across customers, partners, media, analysts, and broader industry audiences.
• Develop compelling messaging, content, and sales enablement assets for Snowflake teams and partner teams.
• Partner cross-functionally with demand generation, content marketing, sales, product management, and global stakeholders to align and execute regional go-to-market plans.
• Own and lead end-to-end product launches for ASEAN, including internal and external briefings, spokesperson support, enablement content and sessions, and alignment with marketing and PR on launch campaigns and events.
• Build market and competitive intelligence, and serve as a thought leader on the trends shaping the industry.
• Champion diversity and belonging as part of how we work, lead, and grow as a company.

What Makes You a Stand Out

• 15-20+ years of experience spanning technology, product, and market-facing roles, with strong exposure to data management and AI/ML.
• Strong cross-functional leadership skills, including the ability to influence without authority and work effectively with senior stakeholders.
• Outstanding communication and presentation skills, with confidence engaging internal leaders, external stakeholders, and public audiences.
• Excellent writing skills, with the ability to distill complex ideas into clear, compelling presentations and plans.
• A track record of working on complex data solutions and demonstrating architectural or technical leadership.
• An analytical mindset, with the ability to interpret information and turn it into actionable insight.
• Strong understanding of both the technical foundations and business value of modern data technologies, across on-premises and cloud environments.
• Experience with database products.
• A BS/BA or equivalent practical experience.
• A proven history of partnering with field GTM teams,across marketing, sales, and solution engineering,to create high-impact content and messaging that connects with diverse personas, from technical practitioners to C-level executives like the CMO, CFO, and CRO.
• Deep insight into the unique technological landscape and market dynamics across the ASEAN region.
• Professional fluency in regional languages including Bahasa, Mandarin, Cantonese or Thai is strongly advantageous, complementing English proficiency.

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The Account Executive - Acquisition is responsible for acquiring net new logos with enterprise businesses within Germany. People who excel at this job have the ability to prospect (via email, phone, & partner ecosystem), develop, and close business within a timely manner while focusing on the clients’ requirements. The AE's must have the confidence and ability to negotiate and close agreements with clients and support new customers through our on-boarding process. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company.

AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL:

• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• 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 and ongoing revenue streams.
• Arrange and conduct initial Executive and CxO discussions and positioning meetings.
• Sales process management and opportunity closure.
• Ongoing account management to ensure customer satisfaction and drive additional revenue streams.
• 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.

OUR IDEAL ACCOUNT EXECUTIVE WILL HAVE:

• BA/BS required.
• 3+ years of field sales experience preferred with an emphasis on data or cloud related technology.
• 5+ year’s experience focussed on generating new business within Enterprise accounts.
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting quota of $800k+ of ARR per year and experience on averaging 8+ face to face meetings per week.
• New business sales focus.
• A track record of success in driving consistent activity, pipeline development and quota achievement.
• Experience determining customer requirements and presenting appropriate solutions.
• Pro-active, independent thinker with high energy and a positive attitude.
• Excellent verbal and written communication, presentation, and relationship management skills.
• Ability to thrive in fast-paced startup environment.
• Executive level relationship management.
• Ability to understand the "bigger picture" and the business drivers around IT.
• Fluent German language required

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Experience implementing MEDDPICC.
• Experience selling software or cloud based applications to the Enterprise is desired.

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We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

You will combine deep technical expertise, consultative discovery, and executive communication to shape secure, scalable solutions on the Snowflake AI Data Cloud.

AS A SENIOR SOLUTIONS ENGINEER AT SNOWFLAKE, YOU WILL:

• Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.
• Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.
• Build proofs of concept that validate performance, governance, interoperability, and business value for high-priority customer workloads.
• Advise customers on modernizing data platforms and migrating analytical workloads to Snowflake while reducing complexity and operational overhead.
• Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.
• Guide customer stakeholders on security, governance, privacy, and responsible AI patterns using Snowflake Horizon and related platform controls.
• Influence technical and executive decision makers through clear architecture narratives, workshops, demonstrations, and value-focused presentations.
• Mentor Solutions Engineering peers and contribute reusable field assets, reference architectures, and product feedback that improve execution across the region.

OUR IDEAL SENIOR SOLUTIONS ENGINEER WILL HAVE:

• 10+ years of relevant experience in solutions engineering, data architecture, cloud platforms, analytics, or an equivalent customer-facing technical role.
• A strong foundation in data warehousing, data engineering, analytics, cloud architecture, and enterprise security.
• Experience leading technical discovery and designing solutions for complex enterprise requirements.
• The ability to explain technical concepts clearly to engineers, architects, business leaders, and executives.
• Hands-on proficiency with SQL and at least one major cloud platform as supporting capabilities for solution design and validation.
• A record of influencing customer decisions through consultative problem solving, demonstrations, and proofs of concept.
• Strong collaboration skills and the ability to lead across sales, product, services, partners, and customer teams without direct authority.
• A bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.

BONUS POINTS FOR THE FOLLOWING:

• Experience with Snowflake, Cortex AI, Snowpark, Streamlit in Snowflake, or native application development.
• Familiarity with GenAI architectures, retrieval-augmented generation, model governance, and AI-assisted solution engineering workflows.
• Experience supporting data platform modernization or migration programs in large enterprises.
• Knowledge of data governance, security, privacy, and regulatory considerations relevant to customers in India.
• Experience mentoring technical presales professionals or leading cross-account technical initiatives.

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As a Public Sector Enterprise Account Executive at Snowflake, you'll own and grow a portfolio of major existing public sector accounts, bringing fresh energy and strategic ambition to how these mission-critical agencies modernize their data and AI capabilities on the Snowflake AI Data Cloud to deliver better outcomes for New Zealanders.

Key Responsibilities:

• Own strategic account plans for major New Zealand named public sector accounts, including expanding multi-year, multi-million dollar relationships.
• Act as a trusted, multi-threaded advisor to agency leadership and DCE-level stakeholders, aligning the Snowflake AI Data Cloud to each agency's mission, service delivery outcomes, and digital transformation roadmap.
• Drive adoption of Snowflake's Cortex Code and Cowork capabilities to help the public sector move from data consolidation to AI-driven citizen and health outcomes.
• Navigate data sovereignty, security, and governance requirements that are central to NZ public sector procurement, positioning Snowflake's platform as the trusted foundation.
• Champion Snowflake cross-agency data collaboration opportunities, helping agencies unlock value from shared data assets while meeting strict security and privacy requirements.
• Build and execute a disciplined pipeline strategy, applying a structured sales methodology such as MEDDPICC to navigate complex, multi-stakeholder government procurement cycles.
• Partner closely with Solutions Engineering, Professional Services, Partners, and the broader public sector ecosystem of system integrators to accelerate customer value realization.
• Forecast accurately and consistently achieve quota across your allocated strategic public sector accounts.

Requirements:

• A demonstrated, consistent track record selling complex technical solutions (SaaS, Cloud, Data, or AI) into the public sector market, with the strategic maturity to own senior, high-value agency relationships.
• Ideally experience working with large Public Sector Agencies such as Health and ACC.
• Strategic thinking about how to advance all of government outcomes and cross-agency value.
• Proven strategic engagement skills: the ability to navigate multi-stakeholder environments, challenge the status quo, and shape long-term, outcome-based agency roadmaps rather than transactional deals.
• A record of proactively growing and reinvigorating established accounts, expanding multi-year contracts and footprint within mission-critical public sector organizations.
• Fluency in New Zealand government procurement, including tenders, framework agreements, and multi-level approval processes.
• Experience articulating the value of data, analytics, or AI platforms to non-technical and technical agency stakeholders alike.
• The energy, independence, and low-ego collaboration style to help revamp and grow a strategic public sector book with ambition.

Nice to Have:

• Experience selling into the health sector or to health-focused agencies.
• Familiarity with the broader partner and system integrator ecosystem that serves the New Zealand government.
• Experience helping public sector organizations adopt AI and generative AI use cases responsibly.
• Existing relationships across New Zealand public sector agencies.

Job Data by YubHub.

Our Majors sales team is expanding and we are hiring a Majors Account Executive to grow our business across the retail industry.

AS A MAJORS ACCOUNT EXECUTIVE AT SNOWFLAKE, YOU WILL:

• Partner with the Global Account Manager on account strategy, contributing field intelligence, customer feedback, and opportunity insights to inform the broader account plan
• Own stakeholder relationships across a portfolio of major retail accounts, building trust and pipeline across Technology including Data, AI, Digital Ecomm and LOB
• Act as a trusted advisor by understanding each retailer's current and future IT roadmap, connecting the Snowflake AI Data Cloud to outcomes such as demand forecasting, inventory and supply chain optimisation, customer personalisation, and omnichannel customer analytics
• Build a territory plan with a target prospect list, and manage pipeline with rigour
• Run structured deal cycles using MEDDPICC
• Land, adopt, and expand Snowflake within your accounts, achieving quota on a quarterly and annual basis
• Work cross-functionally with Solutions Engineering, Professional Services, Customer Success, SDRs, Marketing, Legal, and Finance to deliver outcomes

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• A demonstrated, consistent track record of meeting or exceeding quota selling complex technical solutions into the enterprise market
• Proven success developing and closing new opportunities and building strategic partnerships
• Demonstrated ability to run full-cycle enterprise deals from prospecting through negotiation and close
• Experience selling to senior business and technology stakeholders at Director, VP, and C-level
• Working knowledge of MEDDPICC or a similar sales methodology applied in complex, multi-stakeholder environments
• Familiarity with solution-based selling in one or more of: data warehousing, business intelligence, data science, analytics, cloud infrastructure, or AI/ML

BONUS POINTS FOR:

• Experience in data cloud, data warehouse, or AI/ML platform sales
• Industry exposure to retail, consumer goods, or eCommerce
• Existing relationships within the Australian retail enterprise market
• Familiarity with retail data use cases such as loyalty, pricing, omnichannel marketing, and supplier collaboration

Job Data by YubHub.

We are looking for a senior Enterprise Account Executive to lead Snowflake's relationships with a focused portfolio of our largest and most strategic public sector customers and prospects. You will own complex, whole-of-government and major agency accounts, expanding Snowflake's footprint across established customers while landing new strategic logos, and shaping multi-year transformation programs built on the Snowflake AI Data Cloud.

AS AN ENTERPRISE ACCOUNT EXECUTIVE, PUBLIC SECTOR AT SNOWFLAKE, YOU WILL:

• Own a small portfolio of complex public sector accounts, building multi-year strategic account plans that combine consumption expansion with targeted net-new acquisition.
• Shape and close large, transformational programs that position the Snowflake AI Data Cloud as the enterprise data foundation for whole-of-government data sharing, analytics, and AI.
• Grow strategic workloads across agencies and business units, including Snowflake Cortex AI, Snowpark, Snowflake Marketplace, secure data sharing and clean rooms, and Snowflake Horizon governance.
• Engage and influence senior executives, including Department Secretaries, Deputy Secretaries and Business Leaders, CIOs, CDOs, and program sponsors, aligning Snowflake to national digital, data, and AI agendas.
• Lead complex procurement pursuits end to end, including large tenders, panel and framework arrangements, enterprise agreements, and security, sovereignty, and compliance accreditation.
• Orchestrate a virtual account team across Solution Engineering, Professional Services, Partner, Legal, and Snowflake executives, and co-sell with AWS, Microsoft Azure, Google Cloud, and global systems integrators.
• Drive large-scale migrations from legacy data warehouses and on-premise platforms onto Snowflake, with clear value realisation and executive business reviews.
• Forecast with precision and run rigorous deal strategy using MEDDPICC or a similar methodology across long, multi-stakeholder sales cycles.

OUR IDEAL ENTERPRISE ACCOUNT EXECUTIVE, PUBLIC SECTOR WILL HAVE:

• A deep, consistent track record of selling complex technical solutions (SaaS, cloud, data, or AI) into the largest, most strategic public sector or enterprise accounts.
• Proven success closing large, multi-year, multi-million dollar agreements and growing them through disciplined expansion.
• Demonstrated ability to run both expansion and acquisition motions within a strategic, named-account portfolio.
• Established credibility with senior government executives and the ability to influence at the most senior levels of an organisation.
• Expert command of public sector procurement, enterprise agreements, and the security and data sovereignty requirements that shape major government technology decisions.
• Experience leading virtual account teams and partner ecosystems to deliver complex, high-visibility programs.
• Mastery of MEDDPICC or a comparable qualification framework, with a reputation for accurate forecasting.

BONUS POINTS FOR THE FOLLOWING:

• Experience selling data platforms, data warehousing, analytics, or AI/ML at enterprise scale into government.
• Strong existing relationships with global systems integrators and hyperscalers serving the public sector.
• Background driving consumption-based growth across large, decentralised organisations.
• Experience positioning AI and GenAI initiatives with government leadership.

Job Data by YubHub.

Our Majors sales team is expanding and we are seeking a qualified Account Executive, Media & Entertainment with expertise in the industry and a “hunter” mentality. In this role you will use your creative prospecting skills to strategically pursue net new business and customer acquisition.

As an Account Executive at Snowflake you will:

• Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers
• 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 and ongoing revenue streams
• Land, adopt, expand, and deepen sales opportunities with accounts in your region
• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• Work closely with cross functional teams including sales engineering, professional services, marketing, legal and finance.

On day one we will expect you to have:

• 10+ years sales experience with consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market.
• A track record in securing new logos
• Demonstrable experience executing enterprise complex sales strategies and tactics within one of the following spaces Data Warehousing, Business Intelligence, Data Science and/or AI/ML
• 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.
• The ability to build our product and company like it’s your own, specifically defining and executing sales plans to meet strategic & financial targets, leveraging industry, partner & Go-to-Market knowledge
• This ability to provide open, honest and respectful feedback creating an inclusive work environment
• A reputation for Making Each Other Better: Resulting in long standing relationships with internal cross functional partners and the ability to create an inclusive work environment
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting multi million $ revenue targets on an annual basis.

Job Data by YubHub.

We are looking for a senior Enterprise Account Executive to lead Snowflake's relationships with a focused portfolio of our largest and most strategic public sector customers and prospects. You will own complex, whole-of-government and major agency accounts, expanding Snowflake's footprint across established customers while landing new strategic logos, and shaping multi-year transformation programs built on the Snowflake AI Data Cloud.

AS AN ENTERPRISE ACCOUNT EXECUTIVE, PUBLIC SECTOR AT SNOWFLAKE, YOU WILL:

• Own a small portfolio of complex public sector accounts, building multi-year strategic account plans that combine consumption expansion with targeted net-new acquisition.
• Shape and close large, transformational programs that position the Snowflake AI Data Cloud as the enterprise data foundation for whole-of-government data sharing, analytics, and AI.
• Grow strategic workloads across agencies and business units, including Snowflake Cortex AI, Snowpark, Snowflake Marketplace, secure data sharing and clean rooms, and Snowflake Horizon governance.
• Engage and influence senior executives, including Department Secretaries, Deputy Secretaries and Business Leaders, CIOs, CDOs, and program sponsors, aligning Snowflake to national digital, data, and AI agendas.
• Lead complex procurement pursuits end to end, including large tenders, panel and framework arrangements, enterprise agreements, and security, sovereignty, and compliance accreditation.
• Orchestrate a virtual account team across Solution Engineering, Professional Services, Partner, Legal, and Snowflake executives, and co-sell with AWS, Microsoft Azure, Google Cloud, and global systems integrators.
• Drive large-scale migrations from legacy data warehouses and on-premise platforms onto Snowflake, with clear value realisation and executive business reviews.
• Forecast with precision and run rigorous deal strategy using MEDDPICC or a similar methodology across long, multi-stakeholder sales cycles.

OUR IDEAL ENTERPRISE ACCOUNT EXECUTIVE, PUBLIC SECTOR WILL HAVE:

• A deep, consistent track record of selling complex technical solutions (SaaS, cloud, data, or AI) into the largest, most strategic public sector or enterprise accounts.
• Proven success closing large, multi-year, multi-million dollar agreements and growing them through disciplined expansion.
• Demonstrated ability to run both expansion and acquisition motions within a strategic, named-account portfolio.
• Established credibility with senior government executives and the ability to influence at the most senior levels of an organisation.
• Expert command of public sector procurement, enterprise agreements, and the security and data sovereignty requirements that shape major government technology decisions.
• Experience leading virtual account teams and partner ecosystems to deliver complex, high-visibility programs.
• Mastery of MEDDPICC or a comparable qualification framework, with a reputation for accurate forecasting.

BONUS POINTS FOR THE FOLLOWING:

• Experience selling data platforms, data warehousing, analytics, or AI/ML at enterprise scale into government.
• Strong existing relationships with global systems integrators and hyperscalers serving the public sector.
• Background driving consumption-based growth across large, decentralised organisations.
• Experience positioning AI and GenAI initiatives with government leadership.

Job Data by YubHub.

We are looking for an experienced Senior Technical Program Manager to join Frontier Engineering in Sydney.

You will lead the technical program across Forward Deployed Engineering engagements, working embedded with strategic customers' engineering teams to take data and AI solutions into production.

Responsibilities

• Own the integrated technical plan, cross-workstream dependencies and technical risk across multiple FDE workstreams building on the Snowflake AI Data Cloud.
• Drive workstreams from engineering readiness through integration, release, production cutover, and operational handoff, resolving blockers across customer and Snowflake engineering teams.
• Lead release and production cutover of Snowflake-based data and AI solutions.
• Identify and prioritize customer-driven product gaps and defects, distinguish one-off requirements from recurring product issues, and drive resolution with global Snowflake Product & Engineering teams across time zones.
• Give technical estimates, effort and risk input to Engagement Managers and Program Managers to protect delivery feasibility.
• Provide commercial awareness of SOW/exhibit scope, change control and delivery done at risk.
• Identify scope changes, delivery-at-risk decisions, and emerging technical constraints; provide the impact assessment needed by Engagement Managers to manage SOW scope and change control.
• Report technical status clearly to Snowflake and customer stakeholders, from engineering teams to executives.
• Use AI-assisted workflows, including Snowflake Cortex capabilities, to improve delivery tooling and execution.
• Help establish the FDE Technical Program Management practice in ANZ.

Requirements

• Typically 8+ years leading complex, multi-workstream technical programs.
• Hands-on delivery leadership of technical programs into production, such as data platform, MLOps, GenAI/AI, or software and application development projects.
• Experience leading technical delivery within enterprise customer environments, navigating customer-owned infrastructure, access constraints, and shared delivery responsibilities.
• Strong dependency and technical risk management across multiple engineering teams.
• Technical depth to challenge engineering estimates, assess architectural and integration trade-offs, identify delivery risks, and drive sequencing decisions with engineering leads.
• The conviction to challenge customers, engineering teams, and senior stakeholders when assumptions, technical decisions, or delivery plans don't hold up.
• Operates independently in ambiguous environments, exercises sound judgment without waiting for consensus, and takes ownership of getting to an outcome.

Nice to Have

• Experience leading forward-deployed engineering engagements, with direct responsibility for integrating solutions into customer environments and taking them to production.
• Strong point of view and the confidence to challenge customers and senior stakeholders when technical decisions or delivery commitments don't hold up.
• Willingness to challenge conventional approaches, identify what's not working, and push for a better technical or delivery strategy.
• Delivery in regulated financial services.
• Hands-on experience with Snowflake or other cloud data platforms.
• An engineering manager or tech lead background in data platform or software/application development.
• Consultancy or Big-4 technical program leadership.

Job Data by YubHub.

We are hiring a Principal Enterprise Architect, Data and AI for our Applied Field Engineering (Field CTO) team, focused on the Financial Services Industry across Australia. This role sits at the intersection of Snowflake's most strategic FSI customers and our product and engineering organizations, shaping how banks, insurers, and capital markets firms adopt the AI Data Cloud.

AS A PRINCIPAL ENTERPRISE ARCHITECT AT SNOWFLAKE, YOU WILL:

• Serve as the senior technical authority and trusted advisor to CxO and chief-architect stakeholders at Australia's largest financial institutions, translating business strategy into durable data and AI architecture.
• Define reference architectures and modernization roadmaps for FSI workloads such as risk, fraud, regulatory reporting, customer 360, and generative AI, grounded in the Snowflake platform including Cortex AI and Snowpark.
• Lead high-stakes architectural engagements end to end, from discovery through to a defensible target-state design that balances governance, data residency, and regulatory requirements.
• Influence the Snowflake product roadmap by channeling field insight and FSI regulatory needs back to product and engineering teams.
• Partner with account teams, solution engineers, and SI and GSI partners to unblock the most complex technical decisions and accelerate platform consumption.
• Set the technical bar for the Field CTO practice in the region, mentoring architects and solution engineers and codifying reusable patterns.
• Represent Snowflake as a thought leader at executive briefings, industry forums, and regulatory working groups across the Australian FSI market.

OUR IDEAL PRINCIPAL ENTERPRISE ARCHITECT WILL HAVE:

• 10+ years of experience in data architecture, cloud data platforms, or enterprise architecture, with deep exposure to financial services.
• A track record of company-wide or industry-wide technical influence, shaping architecture decisions at the most senior stakeholder levels.
• Deep understanding of data platform, analytics, and AI and machine learning architecture, including modern approaches to generative AI and retrieval-augmented workflows.
• Fluency in the FSI regulatory and risk landscape, including data governance, residency, privacy, and operational resilience expectations relevant to Australian financial institutions.
• While the role primarily focuses on Financial Services Industry (FSI), experience in the Telecommunications sector is highly desirable.
• Proven ability to personally lead technical discovery and solutioning, not only to orchestrate specialists.
• Excellent communication and influencing skills with executive and technical audiences, or equivalent experience.

Job Data by YubHub.

We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture.

In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes.

As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data , from raw ingestion to real-time analytics to AI-powered applications.

Responsibilities

• Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers
• Lead hands-on technical discovery to map a customer's existing data architecture , pipelines, warehouses, lakehouses, governance gaps , and design a Snowflake-native path forward
• Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)
• Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks
• Translate ambiguous business problems , churn prediction, supply chain visibility, financial consolidation, operational analytics , into concrete Snowflake data solutions
• Partner with Product Management, Engineering, and Field teams to feed customer data architecture patterns back into the product roadmap

Requirements

• 3–8 years of industry experience, in a pre-sales or solutions architecture role focused on data platforms
• Deep hands-on expertise with SQL, Python, and cloud data warehouse / data lakehouse architectures; able to write working code in a customer session without hesitation
• Broad experience across the modern data stack: ETL/ELT tools (dbt, Fivetran, Informatica, Spark), streaming platforms (Kafka, Kinesis), orchestration (Airflow, dbt Cloud), BI tools (Tableau, Looker, Power BI), and cloud infrastructure (AWS, Azure, GCP)
• Proven ability to conduct deep data architecture discovery , understanding a customer's source systems, transformation layers, consumption patterns, and governance requirements , and connect those findings to a Snowflake reference architecture
• Experience positioning AI and ML capabilities within a data platform context: feature stores, model training pipelines, LLM-powered applications, and AI governance
• Strong intuition for data governance, quality, and compliance challenges (GDPR, CCPA, PCI) and how platform design decisions affect them
• Ability to quantify the business value of a modern data architecture , cost reduction, time-to-insight, pipeline reliability, data product monetization
• A demonstrated track record using AI code generation tools to accelerate prototyping and proof-of-concept delivery
• University degree in computer science, data science, engineering, mathematics or a related field, or equivalent practical experience.

Compensation & Benefits

• $165,000 - $216,562 per year
• $220,000 - $288,000 OTE (On Target Earnings = Base Salary + Commission/Quota)
• Comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.

Job Data by YubHub.

Snowflake's ASEAN Commercial team is growing, and we're looking for a Commercial Account Executive to lead new customer acquisition across Malaysia. You'll focus on mid-market organisations that invest heavily in technology, including technically sophisticated digital natives in fintech, blockchain and other fast-growing sectors.

AS A COMMERCIAL ACCOUNT EXECUTIVE, ACQUISITION AT SNOWFLAKE, YOU WILL:

• Own new logo acquisition across a named list of Malaysian mid-market accounts, prospecting systematically to create pipeline from the ground up
• Build multiple layers of pipeline across every stage, so your business never depends on a single late-stage opportunity
• Lead business value conversations that show how the Snowflake AI Data Cloud, including Snowflake Cortex AI, Snowpark, secure data sharing and Snowflake Marketplace, delivers measurable outcomes for each customer
• Partner closely with Sales Engineering to uncover, qualify and shape use cases across data engineering, analytics, AI and data applications
• Engage confidently with both technical audiences (data engineers, architects, CTOs) and business leaders (CFOs, CEOs, heads of digital), tailoring your message to each
• Co-sell with Snowflake's partner ecosystem in Malaysia, including systems integrators, data consultancies and cloud partners such as AWS, Microsoft Azure and Google Cloud
• Run rigorous deal inspection and accurate forecasting, maintaining strong sales hygiene in Salesforce
• Represent Snowflake across the Malaysian technology community, building trusted relationships with customers and partners

OUR IDEAL COMMERCIAL ACCOUNT EXECUTIVE, ACQUISITION WILL HAVE:

• 7+ years of B2B sales experience, including success managing mid-market territories at a SaaS, cloud or data company
• A proven record of personal quota attainment selling to customers in Malaysia
• Demonstrated success creating pipeline from scratch and winning new logos
• Strong business value selling skills, with the ability to connect technology to commercial outcomes
• Disciplined deal inspection, forecasting and sales hygiene practices
• Confidence selling to both technical and business stakeholders
• A base in Kuala Lumpur, established relationships across the local customer and partner ecosystem, and a strong understanding of how business is done in Malaysia

WHY JOIN OUR TEAM AT SNOWFLAKE? Snowflake helps organisations across Asia Pacific and Japan get value from their data and AI. In this role, you'll shape Snowflake's presence in Malaysia, build lasting customer relationships and have a direct hand in growing a high-potential market.

Job Data by YubHub.

We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

You will help ministries, statutory boards and government technology organisations in Singapore get the most out of their data and AI priorities, turning them into lasting partnerships with Snowflake.

AS AN ACCOUNT EXECUTIVE, PUBLIC SECTOR AT SNOWFLAKE, YOU WILL:

• Own a named territory of Singapore public sector agencies, building account plans that connect the Snowflake AI Data Cloud to each agency's mission, digital roadmap and AI ambitions.
• Run complex, procurement-driven sales cycles end to end, including tenders, RFPs, quotations and framework or bulk tender arrangements, through to contract and expansion.
• Show how Snowflake Horizon governance, secure data sharing, Cortex AI and Snowpark help agencies unify data across silos and deliver AI use cases that are transparent, auditable and secure.
• Build trusted relationships from programme and data teams through to CIO and CDO level, influencing how agencies approach their data and AI strategy.
• Co-sell with the systems integrators, cloud partners and marketplaces (AWS, Azure, Google Cloud) that deliver for the Singapore government, building joint pipeline and account plans.
• Work alongside Solution Engineers, Professional Services and Partner teams to run proofs of value and drive consumption after go-live.
• Forecast with discipline, keep a healthy pipeline and share field insight with APJ leadership, Marketing and Product.

OUR IDEAL ACCOUNT EXECUTIVE, PUBLIC SECTOR WILL HAVE:

• 8+ years of enterprise software, cloud or security sales experience, including meaningful time selling to Singapore public sector organisations.
• A consistent record of meeting or exceeding quota on complex, multi-stakeholder deals.
• Hands-on experience with Singapore government procurement and a clear understanding of how agencies evaluate, fund and buy technology.
• A working understanding of public sector cloud, data governance and security frameworks, and how they shape buying decisions.
• Strong working relationships with the systems integrators and partners that serve government.
• Fluency in a structured sales methodology such as MEDDPICC or Value Selling.
• Clear, credible communication with technical teams and senior non-technical leaders alike.
• A degree or equivalent practical experience.

BONUS POINTS FOR THE FOLLOWING:

• Experience at a cloud partner or consultancy with a public sector practice, a cybersecurity vendor, or a data, analytics or integration software company.
• Experience selling data platforms, AI or GenAI solutions.
• Familiarity with consumption-based commercial models.
• Exposure to public sector, healthcare or education accounts elsewhere in APJ.
• Curiosity about using AI tools to sharpen account research, planning and forecasting.

WHY JOIN OUR TEAM AT SNOWFLAKE? Singapore's public sector is one of the most digitally ambitious in the world, and data is central to how agencies plan to deliver better services with AI.

In this role you will help shape that journey as part of an experienced, collaborative Singapore sales team, with the full depth of Snowflake's product, partner and engineering expertise behind you.

Job Data by YubHub.

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.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users.

But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance.

This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

Our product offering runs on multiple cloud providers, including Amazon Web Services, Microsoft Azure, and Google Cloud.

Our infrastructure self-optimizes and provides high availability and data protection across cloud providers, so our users can focus on using their data, not managing it.

Our team is the Compute Service team. We build and operate the systems that schedule and run warehouse-backed work beyond a user’s interactive query: asynchronous and scheduled compute, elastic capacity for parts of live queries, and the scheduling control plane those workloads run on.

We balance usability, performance, cost, and reliability for the teams and customers that depend on this compute.

We are actively hiring talented distributed systems developers. This role is an opportunity to shape the architecture and operation of core services that the rest of Snowflake runs on.

AS A SENIOR DISTRIBUTED SYSTEMS ENGINEER AT SNOWFLAKE YOU WILL:

• Solve real business needs at large scale by applying software engineering and analytical problem solving.
• Design and implement scalable distributed systems for scheduling, queueing, dispatch, and completion of warehouse-backed work.
• Analyze fault tolerance, high availability, performance, and scale challenges, and solve them.
• Build admission control, isolation, and capacity management so shared compute stays fair and predictable.
• Lead cross-functional initiatives, and collaborate with engineers, product managers, and technical program managers across teams.
• Judge trade-offs among consistency, durability, latency, and cost, and build systems that meet the demands of rapidly growing services.
• Ensure operational readiness of the services, and meet commitments to customers on availability and performance.

OUR IDEAL DISTRIBUTED SYSTEMS ENGINEER WILL HAVE:

• Substantial industry experience designing, building, and supporting large-scale systems in production.
• Experience building large-scale, distributed, fault-tolerant services and control planes, including compute placement, queueing, and monitoring.
• A strong understanding of operating-system concepts, including multi-threading, memory management, networking, storage, performance, and scale.
• Strong computer-science fundamentals, including data structures, algorithms, and distributed systems.
• Systems programming skills, including multi-threading and concurrency. Fluency in Java is preferred.
• A track record of identifying problems and implementing creative solutions.
• Experience with cloud infrastructure on AWS, Azure, or Google Cloud.
• A BS in Computer Science, or equivalent practical experience. An advanced degree is a plus.

WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE?

• Build an industry-leading cloud data platform.
• Solve challenging technical problems in parallel and distributed systems, resource management, scheduling, and large-scale system operation.
• Work closely with partner teams, understand their use cases and needs, and choose the right problem to solve at the right time.
• Contribute to a highly scalable and reliable cloud platform that runs on a very large fleet of machines, and to the Java systems that schedule and execute work on it.
• Join a world-class team of industry veterans and rising engineers.

Job Data by YubHub.

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.

This position requires a hybrid work schedule with regular in-person attendance at our Menlo Park.

Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds.

Snowflake's platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.

Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.

Snowflake is seeking a strategic, customer-obsessed Senior Manager, Customer Advocacy Programs to lead and scale Snowflake's flagship global advocacy programs, turning our most valued customers into powerful brand champions on the world's biggest stages.

You are the architect of Snowflake's most visible customer programs: iconic billboard campaigns, customer activations around LA28, our executive Customer Advisory Board (the Black Diamond Council), and Alpine Club, our premier co-marketing program for Snowflake's most strategic customers.

At the same time, you are grounded in the fundamentals of customer marketing: identifying, recruiting, and nurturing the right customer voices, building durable advocacy, and translating customer outcomes into stories that create mutual value across the customer lifecycle.

You see customer advocacy as a growth lever, not just a program, a way to deepen trust with strategic accounts, inform business and product strategy, and act as a true partner to Sales.

You thrive at the intersection of executive relationship management, program strategy, and creative ambition.

You know how to earn the trust of a Fortune 500 CDO, design experiences executives want to be part of, navigate complex brand and legal approvals, and orchestrate a cross-functional team from concept through launch.

You are equally comfortable facilitating a room of senior technology leaders and in a working session with a creative agency, and you operate with a bias toward bold ideas, a high tolerance for ambiguity, and a deep commitment to making the customer the hero.

This role reports to the Director of Customer Marketing and partners closely with Brand, Creative, Media, Events, PR, Product Marketing, Social, Web, and Sales teams, as well as Snowflake's external agency partners.

Responsibilities:

• Own the strategy and end-to-end execution of Snowflake's customer advocacy programs, including billboard activations, LA28 customer activation, the Black Diamond Council, and Alpine Club
• Lead billboard strategy and activation, identifying customer stories through creative development, customer approvals, media placement, launch, and amplification
• Develop and execute Snowflake's LA28 customer activation strategy, designing differentiated experiences and storytelling moments that engage strategic customers and showcase their innovation
• Lead engagement and strategic programming for the Black Diamond Council, Snowflake's executive-level Customer Advisory Board, including in-person meetings, virtual sessions, member communications, and recruitment
• Translate Black Diamond Council insights into actionable recommendations that inform Snowflake's business, product, and marketing strategy
• Oversee Alpine Club strategy, planning, and execution, recognizing and elevating Snowflake's most strategic customers through long-term, multi-faceted brand partnerships
• Build program frameworks, activation calendars, and repeatable processes that ensure consistency, quality, and impact across all advocacy programs and regions
• Put the customer first by building trusted, long-term relationships with senior executives at Snowflake's top customers and creating experiences and stories that deliver mutual value
• Serve as a strategic partner to Sales, using high-visibility programs and executive engagement to strengthen relationships with strategic accounts and support retention, expansion, and growth
• Serve as the central orchestrator across Brand, Creative, Media, Events, PR, Product Marketing, Social, and Web, owning timelines, dependencies, budgets, and launch readiness
• Track, analyze, and report on program performance and impact; deliver regular program updates to leadership and cross-functional stakeholders.

Requirements:

• A customer-obsessed mindset with an instinct for the stories and experiences that move markets , and the patience and persistence to bring them to life
• Proven ability to build trusted relationships with senior executives, including CIOs, CDOs, and communications leads, at enterprise-scale organizations
• Strong understanding of the customer lifecycle and the role customer marketing and advocacy play across acquisition, expansion, and retention
• Deep experience leading complex, multi-stakeholder advocacy programs, executive programs, or integrated campaigns from strategy through launch
• Exceptional program and project management skills, with the ability to run multiple high-visibility programs and orchestrate cross-functional teams simultaneously
• Strong strategic judgment , you know which customers, stories, and moments are ready to go big, and you know how to get them there
• Outstanding written and verbal communication skills; comfortable presenting to executives both internally and externally
• Experience managing agency and vendor relationships and budgets, and translating creative feedback effectively
• Highly organized, self-directed, and effective operating in ambiguous, fast-moving environments

Preferred Skills and Education:

• 8+ years of experience in customer marketing, customer advocacy, executive programs, or integrated campaign management in B2B SaaS or enterprise technology
• Experience building and running a Customer Advisory Board or executive community program for senior technology leaders
• A track record of delivering high-profile brand moments, such as billboard and out-of-home campaigns, major sporting event or sponsorship activations, and marquee event programs featuring recognizable customer brands
• Familiarity with corporate communications dynamics and the sensitivities of co-marketing with publicly traded or privacy-conscious enterprise brands
• Ability to influence senior stakeholders with confidence and credibility
• Bachelor's degree in Marketing, Communications, Business, or a related field
• Experience with Google Suite, Salesforce, Tableau, and Wrike

Job Data by YubHub.

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.

Our Majors sales team is expanding and we are seeking a qualified Account Executive, Media & Entertainment with expertise in the industry and a “hunter” mentality.

In this role you will use your creative prospecting skills to strategically pursue net new business and customer acquisition.

Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements.

This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects.

You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas.

Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs.

AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL:

• Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers
• 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 and ongoing revenue streams
• Land, adopt, expand, and deepen sales opportunities with accounts in your region
• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• Work closely with cross functional teams including sales engineering, professional services, marketing, legal and finance.

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• 10+ years sales experience with consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market.
• A track record in securing new logos
• Demonstrable experience executing enterprise complex sales strategies and tactics within one of the following spaces Data Warehousing, Business Intelligence, Data Science and/or AI/ML
• 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.
• The ability to build our product and company like it’s your own, specifically defining and executing sales plans to meet strategic & financial targets, leveraging industry, partner & Go-to-Market knowledge
• This ability to provide open, honest and respectful feedback creating an inclusive work environment
• A reputation for Making Each Other Better: Resulting in long standing relationships with internal cross functional partners and the ability to create an inclusive work environment
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting multi million $ revenue targets on an annual basis.

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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.

Staff Software Engineer – Metadata

The Metadata team owns the brain of Snowflake. Every query, table, transaction, and permission depends on the metadata layer we build. Our systems handle millions of metadata operations per second. We also power cross-region and cross-cloud replication and failover, keeping customer data available through outages.

Responsibilities

• Lead the design of core metadata and replication systems across multiple teams.
• Set technical direction for scalability, consistency, and fault tolerance of the metadata layer.
• Drive cross-region and cross-cloud replication toward lower RPO and higher reliability.
• Solve hard problems in performance, availability, and correctness at global scale.
• Partner with Product and architects to turn customer needs into durable designs.
• Raise the operational bar through observability, safe rollouts, and blast-radius controls.
• Mentor senior engineers and grow technical leaders on the team.

Requirements

• 10+ years building large-scale distributed systems or database internals.
• Strong development skills in Java or C++.
• Proven record leading multi-team technical initiatives from design to production.
• Deep understanding of consistency, transactions, and fault tolerance.
• BS/MS in Computer Science or related field, or equivalent experience.

Any of the following would make you a stronger candidate:

• Experience with FoundationDB or other distributed key-value stores.
• Experience building replication, disaster recovery, or geo-distributed systems.
• Experience with database metadata, catalogs, or query compilation.
• Experience running services on AWS, Azure, or GCP.

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.

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We are hiring a Software Engineer for our Trust & Platform Security team. This team is building the next generation of cyber security monitoring for Snowflake customers where discovery, detection and remediation occurs in the same system. In the agentic era, threats and vulnerabilities occur at machine speed and scale and we are building a platform to detect and respond to these threats in real time. This team is also responsible for building the next generation of network and data enforcement engines: context aware ingress, data exfiltration protection and unified data movement policies for Snowflake's cloud security infrastructure. You will work at the intersection of security policy and system enforcement, building features that help keep perimeter controls robust, scalable, and integrated with context-aware access frameworks.

AS A SOFTWARE ENGINEER, TRUST & PLATFORM SECURITY AT SNOWFLAKE, YOU WILL:

• Build and ship components to detect security vulnerabilities and threats, shadow AI and other agentic threats.
• Develop data loss and ransomware detection mechanisms and ensure signals yield low false positive rates.
• Write and contribute to design documents for product features, with attention to reliability, latency, and auditability
• Work with senior engineers and Product Management to turn requirements into well-scoped tasks and deliver them independently
• Write well-tested, secure code and take part in code reviews
• Own features through implementation, testing, and production rollout with guidance from senior teammates

OUR IDEAL SOFTWARE ENGINEER, TRUST & PLATFORM SECURITY WILL HAVE:

• 2+ years of professional software engineering experience
• Working knowledge of network security fundamentals (TLS/SSL, HTTP/S, DNS), Zero Trust principles, or Data Loss Prevention (DLP) concepts
• Solid coding skills in SQL, Java, Python and exposure to building distributed or backend systems and willingness for full stack exposure
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and their security or networking controls
• Eagerness to learn, take feedback, and grow ownership over larger parts of the system
• Clear communication and comfort collaborating with cross-functional partners
• BS/MS in Computer Science, Engineering, or equivalent experience

BONUS POINTS FOR THE FOLLOWING:

• Exposure to cloud-native security controls (e.g., VPC Service Controls, Private Link)
• Experience with egress control, network perimeter enforcement, or policy engines
• Familiarity with AI-assisted development workflows and tooling
• Contributions to open-source security projects, security research, or CTFs

WHY JOIN OUR TRUST & PLATFORM SECURITY TEAM AT SNOWFLAKE? You will work on security controls that protect customer data across Snowflake, at a scale few companies operate. This is an early-career role with real ownership: you will ship production features in a high-impact security area while learning from experienced infrastructure and security engineers. 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?

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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.

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale.

We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost.

A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.

Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale.

As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.

THE TEAM:

We are hiring a Senior Software Engineer, Enterprise for our Engineering team at Observe by Snowflake.

IN THIS ROLE YOUR WILL:

• Design, build, and own core features, APIs, and business logic powering a high-performance observability platform for enterprise customers
• Take end-to-end ownership from technical scoping and architecture through deployment, ensuring systems meet enterprise reliability and performance standards
• Collaborate with product, infrastructure, and data teams to deliver solutions that enable fast, actionable insights for engineering teams worldwide
• Partner with SREs and customer-facing teams to diagnose and resolve production issues, applying AI-assisted workflows to accelerate root-cause analysis
• Contribute to high engineering standards through thoughtful code review, mentorship, and architectural influence

QUALIFICATIONS:

• 5+ years of professional software engineering experience with a focus on backend application systems or distributed platforms
• Demonstrated experience designing and shipping production systems at scale, handling high throughput, low latency, and enterprise reliability requirements
• Strong proficiency in one or more server-side languages such as Go, Java, Scala, Python, or similar
• Ability to work independently and take ownership of complex technical problems from scoping through delivery, without waiting to be directed
• Experience collaborating across engineering, product, and infrastructure teams in a fast-moving, high-ownership environment
• Strong analytical thinking and structured problem-solving skills with a track record of shipping impactful, customer-facing work
• A BS/MS in Computer Science, Engineering, or equivalent experience

BONUS POINTS:

• Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems (e.g., OpenTelemetry, Prometheus, Jaeger)
• Experience building or contributing to AI-assisted developer tools or LLM-integrated workflows
• Background in SRE practices, incident response automation, or root-cause analysis tooling
• Open-source contributions to observability, data infrastructure, or developer productivity projects

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The Expansion Account Executive is responsible for building client relationships within Enterprise businesses.

As an Account Executive at Snowflake, you will:

• Achieve sales quotas for allocated customers on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• 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 and ongoing revenue streams.
• Arrange and conduct Executive and CxO discussions and positioning meetings.
• Sales process management and opportunity closure.
• Ongoing account management to ensure customer satisfaction and drive additional revenue streams.

Our ideal Account Executive will have:

• 7+ years of field sales experience preferred with an emphasis on data or cloud related technology.
• 2+ year’s experience expanding and generating new business within existing Enterprise accounts.
• FSI experience is highly preferred.
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting quota of $1M+ of ARR per year.
• A track record of success in driving consistent activity, pipeline development and quota achievement.
• Experience determining customer requirements and presenting appropriate solutions.
• Pro-active, independent thinker with high energy and a positive attitude.
• Excellent verbal and written communication, presentation, and relationship management skills.
• Ability to thrive in fast-paced startup environment.
• Executive level relationship management.
• Ability to understand the "bigger picture" and the business drivers around IT.

Bonus points for experience with the following:

• Experience implementing MEDDPICC.
• Experience selling software or cloud based applications is desired.

Job Data by YubHub.

We are looking for a talented and motivated Software Engineering Intern to join our AI-focused R&D team.

In this role, you will contribute to cutting-edge AI-powered products, such as Snowflake Intelligence, which helps business users extract insights from large-scale data.

Your work will be directly integrated into the Snowflake platform, driving AI innovation in data applications.

What we offer:

• Paid, full-time internship within a dynamic AI-driven R&D team
• Collaboration with world-class experts on groundbreaking AI/ML research projects
• Direct mentorship and structured feedback, including regular check-ins and a final evaluation
• Integration as a full-fledged teammate of the Snowflake AI R&D Team
• Post-internship career opportunities (full-time and/or additional internships)

What we expect:

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Strong programming skills in at least one of: Python, Go, or Java
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data processing systems (e.g., Spark, Snowpark)
• Understanding of distributed systems, model serving, or inference infrastructure
• Proven ability to write clean, efficient, and scalable code
• Prior exposure to the software development lifecycle, with a commitment to applying best practices
• Ability to work independently while effectively collaborating within a team
• Strong communication skills to present insights and recommendations to both technical and non-technical audiences

Duration: Minimum 4 months (recommended 6 months, up to 12 months supported)

What you will learn/gain:

• Design, implement, and maintain AI-powered systems and infrastructure for large-scale data processing and inference
• Collaborate with AI researchers and product teams to bring novel ML methods into production
• Develop robust, scalable, and efficient ML pipelines, from model training to deployment
• Optimize model serving, latency, and cost efficiency in distributed environments
• Contribute to high-quality, maintainable codebases, including testing, documentation, and CI/CD

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We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

You will lead our Data Processing team in Zurich, starting with a small team and growing further.

The team owns the core engine that makes Observe work, including systems that compile the query language OPAL into SQL, the query execution pipeline, and the scheduler.

IN THIS ROLE YOU WILL:

• Lead, mentor, and grow a team of backend engineers working on compiler internals, distributed scheduling, query execution, and data materialization.
• Coach them on their careers and help each of them reach their full potential.
• Hire top talent, and represent Observe and Snowflake to candidates.
• Work closely with other Observe product and backend teams to plan and execute new product features and scale existing systems to meet new challenges.
• Work with core Snowflake engineering teams in Germany and the US to integrate Observe more deeply with Snowflake technologies.
• Strategically reduce technical debt in the area.
• Keep many ongoing projects moving in parallel, setting clear priorities and making sure nothing important falls through the cracks.
• Own the operational health of the area: performance, compute cost efficiency, on-call load, and support cost.
• Stay close to the code: write, review, and fix code when needed, and dig into real production workloads alongside the team.

QUALIFICATIONS:

• Proven record managing a team of 5+ engineers that delivered complex backend or infrastructure systems in a fast-paced environment.
• A background in database systems, such as query processing, query optimization, storage, or compilers.
• Solid experience building and operating distributed systems.
• Hands-on engineering skills: able to write, review, and fix production code.
• Able to run many concurrent projects at once and to prioritize clearly between them.
• Able to balance short-term operational needs with long-term architecture, and to make cost and performance tradeoffs based on data.
• Experience running a team that owns production services with on-call responsibilities.
• Excellent communicator, comfortable working across time zones and organizational boundaries.
• A bachelor's, master's, or doctorate degree in computer science, engineering, or a related field.

BONUS POINTS:

• Experience with Snowflake or other large-scale data platforms or databases and knowledge of their internals.
• Familiarity with the observability space.
• Experience building an enterprise-grade SaaS product.

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We are hiring a Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role where your entire focus will be a single global financial institution. You will be embedded in the technical relationship from day one, supporting the full sales cycle and post-sale expansion. Working under the guidance of a Senior Solution Engineer and alongside an Account Executive, you will build your technical craft on one of the most data-rich accounts in Snowflake's EMEA portfolio, developing deep knowledge of the customer's data environment and using it to support new use cases across the organisation.

AS AN SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

• Support end-to-end technical sales engagements for a single strategic Global Account in financial services, from initial discovery and qualification through proof of concept delivery and technical close
• Build and deliver tailored demonstrations and solution presentations that connect Snowflake's platform capabilities to the customer's specific data challenges and business objectives
• Assist in the design and execution of proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloads
• Develop working knowledge of the customer's existing data architecture, cloud environment, and technology stack to position Snowflake solutions accurately and credibly
• Support the Account Executive on day-to-day deal activity, preparing technical responses to RFPs and helping remove technical blockers
• Coordinate with Snowflake's Professional Services, Support, and Product teams to ensure the customer receives the right resources at the right time
• Build strong working relationships with the customer's data engineers, architects, and technical managers, becoming a reliable and trusted point of contact

OUR IDEAL SOLUTION ENGINEER WILL HAVE:

• 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial services organisations
• A foundational understanding of cloud data platforms and modern data architectures, with the appetite to go deep fast
• Proficiency in SQL and Python, with the ability to write and debug scripts, build PoC pipelines, and work comfortably in a technical customer environment
• Clear communication skills, with the ability to translate technical concepts for both engineering and business audiences within a financial institution
• Strong organisational skills and the ability to manage multiple work-streams within an active sales cycle
• Genuine curiosity about AI and data technology, with an eagerness to develop expertise in Snowflake's Cortex AI capabilities and apply them in FSI contexts
• A growth mindset: you take feedback well, seek out coaching, and are motivated to progress toward senior solution engineering responsibilities

BONUS POINTS FOR THE FOLLOWING:

• Hands-on exposure to Snowflake through work projects, certifications, or personal use
• Internships or placements in pre-sales, technical consulting, or data engineering within technology companies
• Familiarity with data tools commonly used in FSI environments (dbt, Kafka, Spark, or equivalent)
• Coursework or foundational knowledge of financial services concepts such as risk management, regulatory reporting, or fraud analytics
• Exposure to customer-facing presentations, demos, or hackathons

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As a People Systems Analyst on the People Technology team, you'll serve as a key business systems partner , bridging the gap between our People Operations stakeholders and the platforms that power their work. You'll lead discovery, drive requirements, own testing, and see projects through from kickoff to hypercare , ensuring our HR and talent systems scale with the speed and complexity of Snowflake. This is a hybrid role based in our Menlo Park, CA, Dublin, CA, or Bellevue, WA offices with a minimum of 3 days per week in-office attendance required.

Responsibilities:

• Partner closely with People Operations, Talent Acquisition, and HR stakeholders to conduct discovery, translate business needs into clear requirements, and recommend system solutions
• Lead end-to-end project delivery for system implementations and enhancements , including requirements gathering, solution design, UAT planning and execution, cutover coordination, go-live deployment, and hypercare support
• Create and own test plans, test scripts, and defect tracking; lead structured testing cycles and coordinate cross-functional testers to ensure quality outcomes before every release
• Administer, configure, and support HR systems day-to-day, including ServiceNow HRSD and our Applicant Tracking System (Ashby), resolving production issues and delivering on enhancement requests
• Triage and manage the support queue , troubleshooting system issues, researching root causes, routing escalations, and communicating resolution timelines to stakeholders
• Ensure data integrity across HR platforms and downstream systems; adhere to data governance, compliance, and security policies
• Document processes, configuration decisions, and procedures; assist with end-user training and quick reference guide creation
• Leverage AI tools to improve, automate, and operationalize tasks and processes across the People Systems function

Requirements:

• 4+ years of hands-on business systems analyst experience in HR technology, including discovery, requirements documentation, testing, and deployment ownership on a project basis
• Experience supporting system implementations in a high-growth, global environment
• Demonstrated ability to lead UAT and regression testing , writing test scripts, organizing testers, tracking defects, and driving issues to resolution
• Experience with cutover planning, go-live coordination, and hypercare support for system implementations or major releases
• Excellent written and verbal communication skills; ability to translate business requirements into technical specifications and communicate technical concepts clearly to non-technical audiences
• Strong analytical and problem-solving skills with a methodical, detail-oriented approach to documentation and process design
• Ability to manage multiple concurrent projects and evolving priorities while maintaining quality and responsiveness to stakeholder needs
• Customer-service orientation and a collaborative mindset , you follow up, you follow through, and you stay calm under pressure
• Curiosity and experience experimenting with Snowflake AI tools such as Cortex Code and CoWork, as well as external AI tools like Gemini and ChatGPT, to improve day-to-day work

Nice to Have:

• Hands-on administration and BSA experience with ServiceNow HRSD , including catalog items, flows, HR case management, and configuration
• Experience supporting or administering Ashby, or another comparable Applicant Tracking System
• Hands-on Workday HCM experience , configuration, business processes, or production support
• Familiarity with HR data governance practices and handling sensitive employee data

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We are looking for world-class Solution Engineers to join our Global field teams whose technical skills and customer savvy will help customers understand and utilise the value of the cutting-edge data platform that we are building.

The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing.

In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey.

The Solution Engineer will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases.

This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc.

He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

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
• Maintain 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
• Be an advocate and develop mutual trust with the technical audience on the customer side
• Run training sessions, workshops, webinars to help customers become proficient in Snowflake
• Keeping customers up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits
• Run technical enablement programs to provide best practices, and solution design workshops to help customers create effective solutions
• Create and develop technical champions in your accounts to drive Snowflake adoption
• Represent Snowflake at customer or industry events
• Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging.

Requirements:

• Minimum 10+ years of experience working in customer facing solution engineering (tech sales) role, preferably with large Global accounts
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
• Outstanding skills presenting to both technical and executive audiences, in small groups or at public events, whether impromptu on a whiteboard or using presentations and demos.
• Hands-on expertise with SQL and Python
• Experience working with large global accounts, GSIs and/or Global Capability Centers
• Experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.)
• Pre-sales experience in data related tech products
• Sound understanding and experience in the enterprise market and technology ecosystem
• Prior industry domain experience with a focus on BFSI is highly desirable.

Added Bonus For:

• Data Science/AI/ML experience across a variety of platforms
• Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc).
• Cloud Provider Experience - Amazon AWS/Microsoft Azure/Google Cloud
• Data modeling and data architecture experience
• Experience selling enterprise SaaS software to Global Accounts

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Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster.

We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalise Observe.

This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success.

Responsibilities

• Lead structured implementations for enterprise customers, from kickoff through initial production readiness
• Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalisation, and routing
• Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards
• Migrate and modernise existing observability environments (e.g., Splunk, ELK, cloud-native monitoring tools) into Observe
• Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases
• Establish implementation plans, milestones, and success criteria in partnership with customers
• Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform
• Identify technical risks, data quality issues, or architectural gaps early and proactively address them
• Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team
• Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success

Requirements

• 5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE
• Strong hands-on experience with observability platforms and telemetry pipelines
• Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines)
• Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, Grafana)
• Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale
• Experience working in cloud environments (AWS, GCP, Azure) and modern application architectures
• Ability to work directly with technical customer teams and communicate clearly at multiple levels
• Strong problem-solving skills and comfort working through ambiguity in fast-moving environments

Nice to Have

• Experience migrating customers from Splunk or ELK to modern observability platforms
• Background in SRE, DevOps, or platform engineering roles
• Familiarity with Kubernetes, containerized workloads, and cloud-native tooling
• Experience creating implementation templates, runbooks, or enablement content
• Exposure to multiple observability vendors or hybrid observability environments

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AS A SALES DEVELOPMENT REPRESENTATIVE AT SNOWFLAKE, YOU WILL:

• Build qualified pipeline by booking meetings with senior data, business and AI leaders at our largest strategic customers in Germany.
• Partner with Global Account Managers, and Solution Engineers to find, qualify and source high-value use cases that move through the funnel and drive measurable consumption and revenue.
• Work with Marketing to turn inbound leads, event attendees and campaign responses into qualified conversations, clear next steps and progress across complex buying groups.
• Research target accounts in depth and personalize your outreach, using AI-assisted tools to find the right people, the right timing and the right message.
• Give prospects a clear, high-level introduction to Snowflake, including the AI Data Cloud, Cortex AI and Snowflake Marketplace, and connect it to their business priorities.
• Track your activity and pipeline in Salesforce so the team always has a clear view of progress.
• Keep your knowledge of the data and AI market current through product trainings, team enablement and local industry events.

OUR IDEAL SALES DEVELOPMENT REPRESENTATIVE WILL HAVE:

• 1+ years of experience in a prospecting, sales, or customer-facing role preferred.
• A university degree, or equivalent practical experience.
• Excellent verbal and written communication skills in German and English, in person, by phone, and in writing.
• Confidence engaging with people at all levels of an organization, from individual contributors to senior leaders.
• The ability to give clear presentations, both formal and informal, to colleagues and customers.
• Strong organization skills: you can prioritize, manage your time, and adjust focus as team goals change.
• A self-directed, curious, and positive approach, with a track record of owning goals and delivering results.
• A genuine interest in building a career in technology sales.

Job Data by YubHub.

You'll understand customers' existing and future IT roadmaps, becoming a trusted advisor to drive Snowflake's solutions in the market. Your responsibilities include:

• Identifying and pursuing new sales opportunities, expanding and deepening existing customer relationships
• Developing and executing sales strategies to achieve quarterly and annual revenue targets
• Building close relationships with CxO, IT executives, LOB executives, and other key stakeholders
• Collaborating with cross-functional teams, including sales engineering, professional services, marketing, and partners

To succeed in this role, you should have:

• Experience in enterprise sales, particularly in the telco industry or B2B software sales
• Ability to manage a territory, prioritize tasks, and work independently
• Strong account planning, pipeline management, and customer relationship-building skills

We offer various benefits, including free lunch at the office, 401K, RSU, phone and gym reimbursement, summer vacation, and year-end holidays.

If you're interested in making an impact at Snowflake, apply now!

Job Data by YubHub.

As an Enterprise Account Executive (Telco) in our Sales team, you will be responsible for driving business growth by identifying and pursuing new sales opportunities, building relationships with customers, and providing strategic guidance on data management solutions.

The Impact You Will Make

• Develop expertise in Snowflake products and deliver customized demos, presentations, and discovery calls to prospective customers.
• Understand customers' existing and future IT roadmaps to provide trusted advisory services and promote Snowflake solutions.
• Identify and pursue new business opportunities, expand existing customer relationships, and manage a portfolio of accounts.
• Develop and execute sales strategies to achieve quarterly and annual revenue targets.
• Build strong relationships with key stakeholders, including CxOs, IT executives, and other decision-makers.
• Collaborate with cross-functional teams, including sales engineering, professional services, marketing, and partners.

Who You Are

• Experienced enterprise sales professional with a focus on telco or B2B software sales.
• Proven ability to manage a territory, prioritize tasks, and work independently.
• Skilled at understanding customer needs, engaging internal stakeholders, and driving deals forward.
• Strong account planning, pipeline management, and relationship-building skills.

Benefits

• Free lunch at office
• 401K (employer-sponsored retirement plan)
• RSU (restricted stock units)
• Phone and gym reimbursement
• 3-day summer vacation and 5-day year-end holidays
• Paid parental leave

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Join the Snowflake team as a Commercial Account Executive. Our Account Executives 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.

Responsibilities:

• Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance.
• Leverage knowledge of a domain or industry to align Snowflake’s value to the customers’ business and technical problems.
• Immerse yourself in the ever-evolving technology and landscape while maintaining a deep understanding of competitive and complementary technologies and vendors.
• Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, and best practices.
• Guide customers in digital transformation and cloud adoption, understanding where Snowflake integrates with holistic architecture and strategy.
• Provide ongoing, post-sales, technical guidance to the customer’s technical team to drive customer utilization of Snowflake and digital transformation success.

Requirements:

• 2+ years of field sales experience preferred with an emphasis on data, data analytics, database (SQL & NoSQL), ETL, or business intelligence.
• Proven ability to independently manage, develop, and close new client relationships.
• Proven success in driving consistent activity, pipeline development and quota achievement.
• Experience determining customer requirements and presenting appropriate solutions.
• Proactive, independent thinking and a high energy/positive attitude.
• Excellent verbal and written communication, presentation, and relationship management skills.
• Ability to thrive in a fast-paced startup environment.
• BA/BS preferred.

Salary: $80K - $105K

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We are hiring an Sr Engagement Manager for our Frontier Engineering team. The Frontier Engineering team turns Snowflake's mission of mobilizing the world's data into concrete outcomes inside customer environments. In this role, you lead both the business growth and the delivery success of Frontier Engineering across your region, owning the full cycle from opportunity creation through scoping, contracting, delivery, and continued growth, and acting as a trusted advisor who balances customer business outcomes with cloud data strategy.

AS AN SR. ENGAGEMENT MANAGER AT SNOWFLAKE, YOU WILL:

• Own accountability for Frontier Engineering quarterly bookings, consumption, and utilization targets across your assigned accounts and region, as part of the broader account team
• Partner with Account Executives, Solution Engineers, and delivery leadership to identify services opportunities, scope engagements, author proposals and Statements of Work, and lead internal Deal Review and investment approval processes
• Own and be accountable for the bookings forecast across your Book of Business, tying every engagement to clear customer outcomes such as revenue growth, cost reduction, risk reduction, and faster Time to Value
• Design and continually refine the delivery roadmap for key accounts, managing project progress, schedule, deliverable quality, and early detection and escalation of scope, schedule, cost, and quality risks
• Serve as the initial point of escalation for customers and project teams, earning trust on both sides and leading decision-making in difficult situations
• Own project financials, including revenue forecasting and cost control, balancing healthy margins with customer satisfaction, and report outcomes, risks, and next steps to executive leadership
• Provide delivery quality oversight and guidance for Snowflake engagements by assisting in the creation and execution of the overall vision for service delivery and client satisfaction, ensuring adherence to delivery best practices
• Own, manage and communicate the operational relationship with assigned clients, including the creation, implementation, and tracking of relationship roadmaps
• Manage key client projects by communicating effectively with project team members, management and project stakeholders on status, issues, risks, and project goals and objectives through clear project documentation, meetings and any required follow-ups
• Build mid-to-long-term account plans and Data Cloud roadmaps with account teams, and design co-delivery and co-selling models with SI, GSI, and ISV partners, including scalable subcontractor and staff-augmentation models
• Lead practice and operational improvements: SOW standardization and templates, risk-based deal review, reusable assets and best practices, and Cortex AI and GenAI-assisted workflows for contract and SOW drafting and engagement summaries
• Mentor and coach delivery consultants, drive delivery governance through QA reviews and health checks, and share best practices with Practice Directors and peers across regions

OUR IDEAL ENGAGEMENT MANAGER WILL HAVE:

• 10+ years of experience in a Sales and Services Delivery role, or equivalent experience, spanning complex enterprise technical projects such as cloud DWH and data platform implementation, modernization, or AI/ML adoption
• A proven track record of achieving quantitative KPIs such as bookings, utilization, and consumption in a delivery or similar organization
• Experience negotiating with and managing executive stakeholders from CxO to VP level across sales, delivery, product, and partner organizations
• Direct experience in the data warehouse, business intelligence, or cloud data platform space, or equivalent experience
• Both strong business literacy and technical understanding: able to translate customer business goals into Snowflake platform scenarios and to discuss architectural and implementation constraints and risks alongside technical teams
• Clear, concise cross-functional communication with a track record of leading diverse groups toward consensus
• Strong organizational skills and ownership, with the ability to autonomously manage multiple projects and accounts in parallel

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Snowflake Frontier Engineering is a strategic organization that implements and supports the Snowflake platform. We are seeking a Solutions Architect to serve as a technical bridge between Snowflake Frontier Engineering and our customers.

As a Solutions Architect, you will:

• Collaborate with customers to understand their business challenges and design solutions using the Snowflake platform.
• Lead technical discovery sessions, solution design workshops, architecture reviews, and proof-of-concepts to accelerate deal closure.
• Design end-to-end architectures for deliverable solutions based on Snowflake platform capabilities.
• Develop technical scoping artifacts, including solution architecture, effort estimation, resource planning, and risk assessment.
• Build trusted advisor relationships with customer technical stakeholders, including Directors, VPs, CTOs, and CDOs.
• Provide technical thought leadership to improve service quality and win rates.

Ideal candidates will have:

• 5+ years of experience in technical roles, including pre-sales and post-sales consulting, solution architecture, or technical advisory.
• Experience working at the intersection of sales and delivery, supporting deal pursuit while executing technical projects.
• Proven track record of designing and proposing enterprise-scale data platform solutions to technical and business stakeholders.
• Experience with Japanese business sales cycles, including requirements gathering, RFPs, and formal sales processes.
• Practical proficiency in SQL and Python in the context of data analytics, data engineering, or AI/ML solution development.
• Deep understanding of major public cloud platforms, including AWS, Azure, or GCP.
• Experience with Frontier Engineering scoping, including effort estimation, solution architecture documentation, and SOW creation.
• Strong presentation skills, including whiteboarding, formal pitches, and live demos.
• Excellent interpersonal skills, with the ability to build trust with customers, partners, and internal stakeholders.

We offer various benefits, including free lunch at the office, DC (corporate defined contribution pension plan), RSU, ESPP, mobile phone and gym fee subsidies, paid parental leave, 3-day summer vacation, and 5-day year-end holidays.

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Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes.

AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL:

• Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches
• Extract business requirements from customers and translate them into a well-architected recommendation
• Develop and provide forward-looking guidance and future-state roadmaps
• Leverage known best practices and solutions to reduce risk to customer implementations
• Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals
• Oversee and advise on the implementation of the customer’s Snowflake platform
• Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
• Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
• Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
• Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
• Drive the adoption of Snowflake’s AI product suite within customer solutions
• Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value

THE IDEAL CANDIDATE FOR A SOLUTIONS ARCHITECT WILL HAVE:

• BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
• 3 years of technical consulting experience
• Experience in a lead role for analytics projects for large enterprises
• Experience implementing and operating Snowflake centric solutions
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
• Familiarity with AI/ML and Transformation technologies
• Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
• Proven experience with developing generative AI and LLM use cases
• Familiarity with industry common BI and ETL solutions
• Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
• Extensive knowledge of and experience with large-scale database technology
• Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
• Familiarity with prompt engineering techniques

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The Account Executive team works closely with internal cross-functional teams and partners to deliver Snowflake's value to customers and serve as trusted advisors on long-term data strategy. The Korea sales organization operates across four industry-aligned teams to drive deep vertical expertise and customer intimacy.

As a Majors Account Executive, you will lead the strategic relationship with Global Electronics customer , one of the most iconic and globally significant technology and manufacturing conglomerates. Your responsibilities include:

• Championing data innovation across a global conglomerate
• Becoming a Snowflake expert
• Being a trusted advisor
• Driving full-lifecycle sales execution
• Building and executing a strategic account plan
• Cultivating executive relationships
• Orchestrating cross-functional collaboration

Requirements:

• 10+ years of field sales experience in the technology industry
• Proven track record of managing and growing a major, multi-division account
• Demonstrated experience in navigating complex organizational structures
• Experience in the manufacturing, technology, or electronics industry is highly preferred
• Established ability to build and maintain C-level and senior executive relationships
• Proven capability to engage key decision-makers and influencers at the executive level
• A growth mindset with a passion for identifying and capitalizing on new opportunities
• Strong strategic thinking with the ability to develop and execute long-term account strategies
• Expertise in value-based selling
• Demonstrated ability to lead and orchestrate cross-functional, cross-regional teams

Core Competencies:

• Exceptional communication and presentation skills
• Self-driven with the ability to independently build account plans, sales strategies, and pipeline
• Passion for data and technology
• Fluency in Korean (native or business-level) and English (professional proficiency)

Benefits:

• Retirement Pension (DC plan)
• RSU (Restricted Stock Units)
• Mobile data and personal fitness expense support
• Annual health check-up for employee and one dependent
• Paid Parental Leave
• Year-end company holiday

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We are looking for a talented and passionate Staff Software Engineer for our Snowpark Container Service, part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple.

Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission.

AS A STAFF SOFTWARE ENGINEER, YOU WILL:

• Design and develop features, understand customer requirements and meet business goals.
• Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area.
• Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support.
• Build highly reliable and fault-tolerant software to meet the needs of the largest customers.
• Ensure operational readiness and maintainability of the service with heavy focus on reliability, availability, debuggability and performance.
• Design and build Kubernetes based OCI compliant container compute platform features and capabilities that scale and evolve with changing business and customer needs.
• Snowpark Container Services is still in an early stage of development - it is an amazing opportunity for outsized impact on Snowflake’s growth story.

OUR IDEAL CANDIDATE WILL HAVE MOST OF THE FOLLOWING QUALIFICATIONS:

• Excitement to learn new things - passion to learn and grow are keys to success on this team.
• Be a team player - Our team culture is a priority. Transparency, knowledge sharing, fun events, and helping each other are all part of our work environment
• Work across functions and across teams - we don’t only work on code that we own, we work with other parts of Snowflake every day.
• 10+ years of industry experience building features and capabilities of large scale systems or infrastructure level platforms.
• Extremely strong fundamental computer science skills and experience building distributed systems.
• Hands-on coding experience in Java, C++ or Go is highly desirable
• Ability to work on-site in our downtown Bellevue office.

BONUS POINTS FOR THE FOLLOWING INDUSTRY EXPERIENCE:

• Experience building products or services with Kubernetes.
• Designing and implementing products and features with multi-cloud support (AWS, Azure, GCP).
• Implementing multi-tenant systems with focus on performance, isolation and security.

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Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.

The Team:

We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake.

As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, and cloud infrastructure, you will play a critical role in driving engineering velocity and reliability at scale.

In this role you will:

• Design, build, and maintain internal tooling, CI/CD pipelines, and AI agent based developer workflows
• Build and scale test infrastructure and test execution frameworks to accelerate developer feedback loops
• Improve developer velocity, developer and agent environment tooling, as well as local debugging/testing workflows
• Partner with development, infrastructure, and SRE teams to streamline release engineering, deployment reliability, and artifact management
• Monitor and optimize build times, test flakiness, and CI performance across the engineering organization

Qualifications:

• 5+ years of software engineering experience with a strong focus on engineering productivity, developer tooling, agentic workflows, build systems, or release engineering
• Proven experience building and maintaining CI/CD systems, build orchestration tools (e.g., Bazel, Nix, Go build tooling), and test automation infrastructure
• Strong proficiency in server-side languages such as Go, Python, Java, or C++
• Hands-on experience with containerization, cloud infrastructure, and release automation
• Deep interest in developer experience, developer velocity metrics, and building developer-facing products

Bonus Points:

• Experience in backend application development
• Experience with open-source developer tools, Kubernetes, or infrastructure-as-code
• Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems (e.g., OpenTelemetry, Prometheus, Jaeger)
• Open-source contributions to observability, data infrastructure, or developer productivity projects

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You will 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.

Key responsibilities include:

• Qualifying prospects and developing new sales opportunities, while building and maintaining a strong pipeline of recurring revenue
• Driving full-cycle sales motions,land, adopt, expand, and deepen relationships with accounts in your region
• Achieving and exceeding sales quotas on a quarterly and annual basis by developing a strategic territory plan, target account list, and regional go-to-market approach
• Collaborating cross-functionally with sales engineering, product, professional services, marketing, legal, and finance teams to deliver value-driven solutions

To succeed in this role, you will need:

• 6+ years of Enterprise sales experience with a strong track record of meeting or exceeding quotas, selling technical solutions and enterprise software products
• Experience executing complex enterprise sales strategies within observability, monitoring, DevOps, infrastructure, data platforms, or adjacent spaces such as Data Warehousing, Business Intelligence, or AI/ML
• A solution-oriented sales approach, with experience managing long, complex sales cycles and strong presentation, communication, and stakeholder management skills
• The ability to operate like an owner,building the business, defining and executing sales strategies, and leveraging ecosystem, partner, and go-to-market knowledge to drive results
• A commitment to providing open, honest, and respectful feedback while contributing to an inclusive and high-performing team culture
• A reputation for “Making Each Other Better,” demonstrated through strong internal collaboration and long-standing cross-functional relationships
• Proven ability to independently prospect, develop, and close new enterprise client relationships
• Experience consistently achieving multi-million dollar annual revenue targets

The compensation range for this role is $134,000 - $175,875.

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Our Majors sales team is expanding and we are seeking a qualified Account Executive with expertise in the industry and a “hunter” mentality. In this role you will use your creative prospecting skills to strategically pursue net new business and customer acquisition.

Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements.

This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects. You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas. Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs.

AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL:

• Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers
• 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 and ongoing revenue streams
• Land, adopt, expand, and deepen sales opportunities with accounts in your region
• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• Work closely with cross functional teams including sales engineering, professional services, marketing, legal and finance.

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• 10+ years sales experience with consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market.
• A track record in securing new logos
• Demonstrable experience executing enterprise complex sales strategies and tactics within one of the following spaces Data Warehousing, Business Intelligence, Data Science and/or AI/ML
• 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.
• The ability to build our product and company like it’s your own, specifically defining and executing sales plans to meet strategic & financial targets, leveraging industry, partner & Go-to-Market knowledge
• This ability to provide open, honest and respectful feedback creating an inclusive work environment
• A reputation for Making Each Other Better: Resulting in long standing relationships with internal cross functional partners and the ability to create an inclusive work environment
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting multi million $ revenue targets on an annual basis.

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Snowflake Marketplace is the trusted enterprise channel for governed data sharing at scale. This role advances that mission into the next paradigm shift: transforming data-sharing infrastructure into an AI-first intelligence marketplace for autonomous agents, semantic models, remote Model Context Protocol (MCP) servers, and AI-ready data primitives.

As a Senior Product Manager for the Marketplace, you will own the strategy and execution for making Snowflake the definitive destination where third-party AI agents are built, governed, distributed, and monetized. You will act as a general manager operating at the intersection of platform engineering, developer ecosystems, and commercial strategy,connecting partner innovation directly to enterprise customer adoption.

AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:

• Define the Strategic Vision: Set and socialize the product strategy for Snowflake’s AI-first marketplace, aligning product leadership, developer relations, partner engineering, and Go-To-Market (GTM) teams behind key primitive releases (including AI agents, semantic layers, and remote MCP integrations, etc.) – and be the trusted subject matter expert to educate and inspire our customers' adoption of these technologies.

• Ship Category-Defining Primitives: Own the end-to-end product lifecycle for third-party agents, MCPs, Semantic Views and future AI Products.

• Design Commercial Mechanics: Drive monetization design as a core product surface, including pricing and packaging, usage- and outcome-based billing and partner revenue-share structures.

• Operate AI-Natively: Prototype listing workflows, build partner integrations, and utilize advanced telemetry and generative tools to inform roadmap prioritization and evaluate third-party agent performance hands-on.

• Deliver Measurable Impact: Own overall business metrics, driving partner supply growth, enterprise buyer adoption of AI-first listings, and platform consumption pulled through agentic workflows.

OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:

• Product Experience: 6+ years in product management, with a track record of bringing AI, developer platform, or infrastructure products from 0-to-1 and scaling them to commercial adoption.

• Ecosystem Building: Proven background in building two-sided markets,such as developer platforms, API marketplaces, enterprise app stores, or partner ecosystems,where you successfully curated supply and drove buyer demand.

• Commercial Architecture Mastery: Direct experience designing productized commercial mechanics, including meter-based consumption, usage/outcome pricing, committed-spend drawdowns, and multi-sided revenue distribution.

• Technical Depth in AI Architecture: Hands-on familiarity with modern AI agent stacks (MCP, agent-to-agent protocols, tool calling, semantic layers, and non-human identity/delegation mechanisms) to engage credibly with enterprise architects and developer teams.

• First-Principles Problem Solving: Ability to navigate extreme ambiguity, define new product categories, and execute hypothesis-driven roadmaps without relying on existing templates.

• Relevant Industry Background: Experience in cloud marketplaces, AI platform ecosystems, developer tools, or enterprise SaaS ecosystems (e.g., major cloud platforms, AI-native infrastructure vendors, or developer infrastructure companies).

Why Join Our Team at Snowflake?

This position offers true general-manager scope on a category at the absolute frontier of enterprise software,defining how third-party AI agents are commercialized and deployed at enterprise scale. You will work directly alongside cross-functional engineering and product leaders across core platform capabilities, governance, identity, and business development. As the voice of Snowflake’s agent ecosystem, you will lead high-visibility bets, shape the commercial model for the agentic enterprise, and build a career path toward executive product leadership.

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We are hiring a Commercial Account Executive - Acquisition to win new customers across the Benelux. This is a high-velocity, full-cycle sales role focused on new logo acquisition: you will own a territory of commercial prospects in the Netherlands, Belgium, and Luxembourg, build pipeline from the ground up, and close the first deals that bring Snowflake's AI Data Cloud into some of the region's most innovative and fast-growing companies.

AS A COMMERCIAL ACCOUNT EXECUTIVE - ACQUISITION AT SNOWFLAKE, YOU WILL:

• Own the full sales cycle for a territory of commercial prospects across the Benelux, from prospecting and pipeline generation through negotiation and close
• Build and execute a territory plan that prioritises the highest-potential accounts and aligns outbound activity with Snowflake's go-to-market strategy for the region
• Generate pipeline through a disciplined mix of outbound prospecting, partnership with Sales Development Representatives, partners, and field marketing programs
• Run the full sales cycle on expansion opportunities, from discovery and qualification through commercial negotiation and close
• Partner with Solution Engineers to deliver demonstrations, workshops, and technical validations that accelerate adoption of new Snowflake capabilities
• Manage a high volume of concurrent opportunities across different stages, maintaining accurate forecasting and pipeline management in Salesforce
• Consistently meet or exceed quarterly and annual new business targets

OUR IDEAL COMMERCIAL ACCOUNT EXECUTIVE - ACQUISITION WILL HAVE:

• 3+ years of experience in a closing sales role in B2B technology, with a proven track record of meeting or exceeding new business quota
• Demonstrated success winning new logos, including building pipeline through outbound prospecting
• Experience selling into mid-market or commercial accounts, with the ability to manage multiple concurrent opportunities and shorter deal cycles
• Strong discovery and qualification skills, with the ability to identify business pain and connect it to a technical platform value proposition
• Comfort presenting to technical and business audiences, including CTOs, Heads of Data, and VPs of Engineering
• Fluency in Dutch and English (spoken and written) is required
• Experience using CRM and sales engagement tools (Salesforce, Outreach, LinkedIn Sales Navigator, or equivalent)
• Experience using AI tools to research accounts, personalise outreach, and work more efficiently

BONUS POINTS FOR THE FOLLOWING:

• Fluency in French, to support prospects in Belgium and Luxembourg
• Experience selling cloud data, analytics, or AI platform solutions in the Benelux market
• Familiarity with consumption-based pricing models and how to position them to new customers
• An established network within the Dutch and Belgian technology and business ecosystem
• Experience building a territory or market from an early stage in a high-growth environment
• Familiarity with Snowflake's platform or competitive landscape (Databricks, Google BigQuery, AWS Redshift, Microsoft Fabric)

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We are looking to hire an experienced Senior Technical Program Manager who can be part of a world-class team that builds Snowflake’s product and cloud platform. This role is a unique opportunity to make a significant impact by building a flexible, large scale, high-performance, and resilient platform for Snowlake features and services. Be part of the vision to create the best data cloud platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

AS A SENIOR TECHNICAL PROGRAM MANAGER, YOU WILL:

• Be responsible for defining and delivering important programs with broad organizational, business and technical impact.
• Provide cross-functional leadership with Engineering and Product Management, and inter/intra team communications to deliver outstanding program outcomes.
• Bring strong, data-driven and strategic technical judgment to decisions.
• Be hands-on, working closely with Software Engineers and Product Managers to design, build, and deliver the next generation of Snowflake services and apps.
• Amplify your impact by educating and mentoring the TPM and Engineering communities on program management best practices.
• Identify opportunities to improve execution of the organization as a whole, to increase engineering productivity through tools and light-weight processes.

A SENIOR TECHNICAL PROGRAM MANAGER AT SNOWFLAKE IS EXPECTED TO HAVE:

• 5+ years of demonstrated industry experience and expertise leading medium to large complex engineering projects in current cloud technologies
• Ability to thrive and succeed in a dynamic environment not slowed down by ambiguity or competing priorities
• Experience working cross functionally with engineering, product management, and other functions involved in the product life cycle
• Strong program management skills with technical and business acumen
• Effective verbal and written communication and presentation skills, with the ability to interact with technical and non-technical groups
• Excellent analytical, problem-solving, consultation and organizational skills
• BS/MS/PhD degree in Computer Science, Engineering, or related fields or equivalent practical experience (e.g. familiarity with SQL, Python, Data)

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?

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As a Project Manager, you function as the "CEO of the Project," taking full accountability for Fixed-Fee discipline and the governance of complex technical lifecycles, including AI/ML and Lakehouse. You are a decisive facilitator with high situational awareness, providing value-based trade-off options when scope adjustments are needed.

Responsibilities:

• Manage complex, Fixed-Fee implementations with rigorous governance.
• Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks.
• Apply Critical Path Methodology (CPM) and Earned Value Management (EVM) for accurate risk forecasting.
• Network with key contacts outside your own area of expertise to ensure delivery success.
• Present "Lessons Learned" decks to regional teams to optimize future upstream pre-sales and scoping.
• Support pre-sales activities by identifying upsell opportunities and contributing to service scoping.

Requirements:

• Typically 2-5 years of field experience in a services delivery or technical implementation role.
• Typically 5-8 years of related experience in technical project management.
• Experience in data engineering is a strong plus.
• Bachelor’s degree required; Master’s degree preferred.
• Advanced Smartsheet/Project modeling and the ability to query Snowflake metadata for consumption reporting.
• Professional working proficiency in English.
• Demonstrated proficiency in EVM and CPM to identify and mitigate schedule/cost variances.
• SnowPro Core (required) and PMP preferred.

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The Snowflake Global Revenue Enablement certification team is fanatical about building and certifying technical champions worldwide. We constantly deliver innovative learning and enablement solutions to help individuals excel on the Snowflake Data Cloud.

We are looking for an action-oriented Certification Coordinator to support certification operations, vendor management, exam development, and candidate marketing. In this hands-on role, you will work closely with external vendors, internal technical experts, and candidates to scale and streamline the global SnowPro Certification program.

The ideal candidate is a high-ownership self-starter with a knack for identifying inefficiencies, automating manual processes, and managing vendor relationships. You thrive in a fast-paced environment, feel comfortable making real-time decisions with incomplete data, and drive projects to completion with minimal oversight.

RESPONSIBILITIES

• Vendor Management: Serve as a primary point of contact for external certification vendors and partners, ensuring service level agreements (SLAs), operational alignment, and seamless integration with Snowflake systems.
• Process Automation & Optimization: Identify operational bottlenecks, streamline workflows, and drive automation initiatives to eliminate manual tasks across candidate management and exam operations.
• Candidate Marketing & Communications: Create, manage, and update all candidate-facing communications and web pages. Write engaging blogs, build email campaigns, and draft marketing assets to promote certifications and keep candidates informed.
• Support & Operations: Manage global certification support cases in Salesforce, handle escalations, and oversee candidate workflows (voucher distribution, continuing education, accommodations, and exam security).
• SME Program Management: Lead recruitment, onboarding, engagement, and communication for SnowPro Subject Matter Experts (SMEs). Train SMEs on exam development best practices and Snowflake style guidelines.
• Exam Development & Publishing: Support exam development systems, maintain exam forms, assist with study guide content creation, and participate in exam publishing and localization.
• Project Ownership: Drive medium-to-large-scale certification projects from concept to completion, taking full accountability for quality and on-time delivery in a rapidly shifting environment.

REQUIREMENTS

• Vendor & Operations Experience: Proven track record of managing external vendor relationships and collaborating with technical/operations partners.
• Process Automation Mindset: Demonstrated ability to identify workflow inefficiencies and implement automated or optimized solutions to scale operations.
• Marketing & Content Creation: Strong experience drafting candidate-facing communications, managing web page updates, writing blogs, and building marketing email campaigns.
• Autonomy & Initiative: Proactive self-starter who takes end-to-end ownership of projects and makes sound, real-time decisions with limited oversight or imperfect data.
• Agility & Tech Aptitude: Ability to thrive in a high-velocity environment, adapt quickly to platform releases, and navigate ambiguous situations with confidence.
• Experience: 4+ years in certification operations, program management, or technical education support, plus 2+ years in IT, technical training, or technical writing.
• Education: Bachelor’s degree or equivalent practical experience in Business, Education, Communications, Computer Science, or a related field.
• Communication & Collaboration: Exceptional written and verbal communication skills with a strong foundation in remote and asynchronous workflows.

PREFERRED SKILLS

• SnowPro Core or Advanced Certification.
• Experience integrating, automating, or managing third-party tools (e.g., via APIs, workflow builders, or custom scripts).
• Hands-on experience managing vendor operations with Pearson VUE or other major test delivery providers.
• Familiarity with web content management systems, email marketing platforms, Certification Management Systems, and Question & Test Interoperability (QTI) standards.
• Experience managing cases, automation rules, and workflows in Salesforce.

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.

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Responsibilities:

• Own net new logo acquisition across a defined UK territory, building and executing a target prospect list and regional sales plan.
• Prospect, develop, and close complex new business, articulating the value of Snowflake Cortex AI, Snowpark, and the Data Sharing and Marketplace ecosystem.
• Run disciplined discovery calls, facilitate customised demos, and deliver value-driven use cases.
• Be a multi-threaded, trusted advisor by understanding each prospect's business and IT roadmap.
• Work with Snowflake partners and service providers to accelerate value realisation for new customers.
• Achieve quarterly and annual sales quotas by executing an enterprise complex sales strategy.
• Collaborate across sales leadership, sales engineering, professional services, marketing, legal, and finance to land and expand new accounts.

Requirements:

• 5+ years of sales experience with consistent success meeting or exceeding quota, selling technical solutions and SaaS into the enterprise market.
• Proven experience winning large, complex, net new logos in the UK enterprise market.
• Demonstrable experience executing enterprise complex sales strategies within Public Cloud, Data Warehousing, Business Intelligence, Data Science, or AI/ML.
• A solution-based approach to selling, with strong command of a complex sales process, excellent presentation and listening skills, and strong organisation and contact management capabilities.
• The ability to build our brand and company like it is your own, defining and executing sales plans that meet strategic and financial targets.

Nice to Have:

• Quantifiable C-level relationships within top UK enterprise accounts.
• Experience selling data, analytics, or AI platforms into greenfield accounts.
• A track record of building territory from the ground up in a competitive, fast-moving market.
• Familiarity with partner-led and ecosystem-driven Go-to-Market motions.

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This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Data Engineering and Data Lake capabilities.

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 Data Engineering, helping customers optimize their use of Snowflake's platform
• Work directly with customers to understand their Data Engineering needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements
• Become an expert in Snowflake’s Data Engineering and Data Lakehouse capabilities and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s Data Engineering capabilities
• Work with our Account Executives, Sales Engineers, Leadership and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment
• Track, analyze, and report on Data Engineering sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement
• Partner with the broader cross-functional organization to integrate Data Engineering sales efforts with Snowflake’s overall go-to-market plans
• Driving the forecast of the region and exceeding revenue targets on consumption

Minimum Qualifications:

• 10+ years of professional experience and at least 6 of years sales experience with consistently exceeding sales objectives selling technical solutions and software products into the enterprise market
• 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 Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
• Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product

Preferred Qualifications:

• Experience operating in overlay sales role and/or driving product consumption through workloads and use cases
• Technical background with an understanding of the data space and market
• Bachelor’s Degree

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We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

As a Technical Architect in our Services Delivery team in Japan, you will work with customers to understand their needs and provide technical solutions using Snowflake's data platform.

Your impact:

• Act as a technical expert across all aspects of Snowflake.
• Deploy Snowflake according to best practices, including knowledge sharing to ensure customers can effectively use and extend the platform.
• Collaborate with customers to demonstrate and implement Snowflake technology best practices.
• Develop a deep understanding of competing and complementary technologies and vendors, and position Snowflake accordingly.
• Work with system integrators to successfully deploy Snowflake in customer environments.
• Provide guidance and solutions for customers' technical challenges.
• Support team members in developing their expertise and sharing knowledge.
• Collaborate with product management, engineering, and marketing to continuously improve Snowflake's products and marketing.

Who you are:

• 5-8 years of experience in post-sales technical customer engagement.
• Ability to understand customer needs and propose and drive project plans.
• Excellent presentation and demo skills for both technical and executive audiences.
• Understanding of the complete data analytics stack and workflow, from ETL to data platform design, BI, and analytics tools.
• Design and implementation skills for databases, data warehouses, and data processing.
• Rich experience with SQL and SQL analytics.
• Experience with scripting languages such as Python, Ruby, Perl, and Bash.
• Flexibility and ability to work with customers on-site, with occasional travel required.
• Experience in proposing, implementing, and utilizing AI/ML solutions to solve business challenges.

Nice to Have:

• Knowledge of large-scale database technologies such as Redshift, Netezza, Exadata, and Teradata.
• Experience with large-scale data processing tools such as Spark, Hadoop, and HBase.
• Understanding of BI and data exploration tools such as Tableau, Sigma, Qlik, Omni, and Looker.
• Experience with ETL pipelines using custom and packaged tools.
• Experience with designing and building systems using public clouds such as AWS, Microsoft Azure, and Google Cloud Platform.
• Experience with data migration projects.
• Experience with designing and implementing AI/ML on data analytics platforms.
• Experience with proposing and introducing Snowflake Cortex and other AI products.
• Experience with designing PoCs and implementing AI/ML and GenAI use cases.
• Advisory experience with MLOps, governance, monitoring, and security.
• Experience with prompt engineering and LLM robustness and AI-specific risk response.

Benefits:

• Free lunch at office
• DC (corporate defined contribution pension plan)
• RSU, ESPP
• Mobile phone and gym fee subsidies
• Paid Parental Leave
• 3-day Summer Vacation and 5-day Year-end Holidays
• Commuting Support

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We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account.

AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

• Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion

• Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers

• Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments

• Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions

• Partner closely with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity

• Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption

• Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice

OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:

• 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers

• Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence

• Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live

• Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)

• Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions

• Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts

• Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context

BONUS POINTS FOR THE FOLLOWING:

• Direct experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers

• Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps

• Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)

• Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environments

• Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance requirements

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The Startup Business Development Lead will be a key member of the Snowflake for Startups team, responsible for identifying, engaging, and growing relationships with the most strategic AI-native startups.

Key Responsibilities

• Build and grow relationships with high-priority AI-native startups, founders, venture investors, and ecosystem partners.
• Develop and execute a startup GTM strategy to accelerate adoption of Snowflake with a heavy emphasis on Snowflakes AI products.
• Serve as a trusted voice on AI-native startup trends, including model usage, data infrastructure, agentic workflows, and enterprise adoption patterns.
• Help founders understand how to build and scale AI applications with Snowflake, including Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and related platform capabilities.
• Partner with Sales, Solutions Engineering, Product, Marketing, AI Partnerships, and Snowflake Ventures to drive coordinated startup acquisition and expansion motions.
• Create repeatable programs, founder engagements, and ecosystem initiatives that increase startup pipeline, product adoption, and workload growth.
• Prioritize the startup landscape based on strategic fit, technical relevance, market momentum, and potential for long-term Snowflake consumption.
• Track business outcomes, surface market insights, and provide regular recommendations to improve strategy, coverage, and execution.

Basic Qualifications

• 8+ years of experience in business development, partnerships, startup programs, venture, GTM, cloud, AI/ML, or related fields.
• Experience working with high-growth startups, including founder engagement and cross-functional partnership execution.
• Strong understanding of the modern AI stack, including LLM-powered applications, retrieval-augmented generation, agents, model serving, and data infrastructure.
• Ability to translate technical platform capabilities into clear business value for founders, builders, and executive stakeholders.
• Demonstrated ability to develop partnership strategies, scale programs, and drive measurable business outcomes.
• Strong executive communication, relationship-building, and stakeholder management skills.
• High comfort operating in ambiguity, moving between strategy and execution, and prioritizing in a fast-changing market.
• Data-driven operating style with experience using metrics to evaluate opportunities, influence decisions, and improve execution.

Preferred Qualifications

• Experience in the AI-native startup ecosystem as a founder, operator, investor, or partner leader.
• Strong familiarity with enterprise AI application patterns such as RAG, agent orchestration, tool use, evaluation, governance, and model optimization.
• Working knowledge of the Snowflake AI stack, especially Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and AI Data Cloud adoption patterns.
• Experience helping technical startups refine enterprise positioning, GTM motions, and customer adoption strategy.

What Success Looks Like in 12 Months

• Built trusted relationships with a high-priority set of AI-native startups, key VC firms, and ecosystem partners.
• Increased startup adoption of Snowflake AI and expanded the pipeline of AI-native workloads built on Snowflake.
• Established repeatable founder engagement and ecosystem programs that generate measurable startup pipeline and consumption growth.
• Improved internal alignment across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering around the startup strategy.
• Brought clear market intelligence and actionable recommendations on where Snowflake should invest to win with AI-native startups.

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As an Account Executive on our UK Public Sector team, you will own the Defence territory: selling the Snowflake AI Data Cloud to the Ministry of Defence, defence primes, system integrators, and allied national security organisations.

As an Account Executive you will:

• Prospect, win, and onboard net-new Defence logos across the UK, breaking into MOD commands, defence primes, and strategic SIs that are not yet Snowflake customers
• Run complex, consultative sales cycles that align the Snowflake AI Data Cloud to mission priorities such as readiness, logistics, intelligence, and command and control
• Position Snowflake Cortex AI, Snowpark, and secure data sharing for sovereign, air-gapped, and high-assurance workloads
• Partner with Solution Engineers to design architectures that meet Defence security, residency, and accreditation requirements
• Navigate UK public sector procurement, including G-Cloud, Digital Outcomes, and framework and direct-award routes
• Build trusted relationships with mission owners, programme leads, and procurement, from technical practitioners to senior leadership
• Collaborate with partners, resellers, and cleared delivery teams to land and expand mission-critical data programmes
• Forecast accurately and manage pipeline through the full sales cycle, from qualification to close and expansion

Our Ideal Account Executive Will Have:

• 5+ years of enterprise software, SaaS, or data platform sales experience, with consistent quota overachievement
• A proven track record selling into UK Defence
• Experience with complex, multi-stakeholder sales cycles and long-horizon programme engagements
• Working knowledge of UK public sector procurement frameworks and the realities of secure or classified environments
• Fluency in articulating the value of data, analytics, and AI to mission outcomes
• Strong commercial discipline across territory planning, forecasting, and negotiation
• The ability to hold or obtain UK security clearance (SC or above) as required by the territory

BONUS POINTS FOR THE FOLLOWING:

• Experience selling cloud data platforms, data warehousing, or AI and machine learning solutions
• An existing network across MOD, defence primes, or allied agencies
• Familiarity with secure data sharing, data sovereignty, and high-assurance deployment patterns
• Experience working alongside system integrators and cleared delivery partners

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This role reports directly to the Director, Product Partnerships and will serve as a critical partner to Snowflake's Business Development, Product, and Strategic Partnerships teams.

You will be at the center of the strategic technology transactions that directly shape Snowflake’s product and go-to-market strategy, handling some of the most consequential and fast-moving deals in the industry.

The product partnerships portfolio is broad and structurally varied. A meaningful and growing portion of the portfolio involves AI partnerships , agreements with frontier and alternative AI model providers and hyperscalers.

Responsibilities

• Structure, negotiate, and close complex commercial and strategic agreements, including those for AI, SaaS, cloud infrastructure, and other product-related partnerships.
• Partner closely with Business Development, Product, Engineering, and Strategic Sourcing teams on high-priority technology transactions and AI partnerships, including agreements with frontier AI, open-weight and alternative AI model providers and hyperscalers.
• Provide sound, practical guidance on legal and business-related issues to senior business leaders and cross-functional stakeholders, balancing legal risk with real-world business imperatives.
• Monitor the overall deal workflow for the product partnerships portfolio; identify bottlenecks and proactively drive resolution.
• Lead the development and ongoing improvement of contract templates, playbooks, policies, and scalable contracting processes to streamline and simplify the partnerships contracting lifecycle.
• Collaborate cross-functionally with product, privacy, and security legal, finance, tax, engineering, and compliance teams to appropriately manage risk and support deal execution.
• Stay current on the rapidly evolving legal and regulatory landscape affecting AI partnerships, cloud agreements, data processing, subprocessors, and related areas , and proactively surface emerging issues to the team before they arrive in a transaction.
• Build institutional knowledge and share expertise across the team to ensure continuity and resilience in a high-velocity environment.
• Demonstrate leadership behaviors that elevate the team: help set standards, mentor junior colleagues, run cross-functional forums effectively, and think about objectives , not just execution.
• Support additional responsibilities of the broader Technology Transactions and Alliances team as required.

Requirements

• JD from an accredited law school; active bar membership with the ability to practice in California required.
• 7+ years of legal experience as a practicing attorney, including training at a top law firm and meaningful in-house experience at a SaaS or technology company.
• Deep experience negotiating complex technology transactions, strategic alliances, and partnership agreements , including AI, cloud infrastructure, SaaS, and data-related agreements.
• Strong knowledge of SaaS-centric legal considerations, including data privacy, security, intellectual property, and subprocessor frameworks.
• Demonstrated ability to drive complex, cross-functional deals and projects to closure in a fast-paced environment.
• Exceptional project management skills and the ability to manage a high-volume, varied deal portfolio while meeting tight deadlines.
• Strong business judgment , ability to recognize and weigh legal and business risk, and advance practical, market-aligned solutions.
• Excellent written and oral communication skills, with the ability to present clearly and credibly to senior stakeholders.
• Demonstrated leadership behaviors, including the ability to take ownership of programs and processes, set direction, support the development of peers, and operate with a force-multiplier mindset , not just individual execution.
• Highly responsive and service-oriented, with the ability to manage competing priorities and operate effectively under ambiguity.
• Collaborative working style with strong interpersonal skills and the ability to build trusted relationships across all levels of the organization.
• Willingness to build and employ AI tools to improve legal workflows and increase team efficiency.

Nice to Have

• Experience with AI partnership structures, including agreements with frontier AI model providers (e.g., API access, model deployment, data use), hyperscalers, and neocloud infrastructure providers.
• Prior experience building or improving scalable contracting infrastructure , templates, playbooks, or deal desk processes , in a high-growth technology company.

Compensation

• $230K – $302.4K

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The Continuous Integration team is responsible for the systems that power builds, tests, validation, and developer workflows across Snowflake’s engineering organization. As a Staff Software Engineer on this team, you will help define the technical direction of critical CI infrastructure used by thousands of engineers across a rapidly growing, multi-cloud codebase.

Responsibilities

• Own the technical direction and architecture of large-scale Continuous Integration services and infrastructure.
• Design, build, and operate distributed systems that support reliable, performant, and secure software delivery.
• Lead the development of CI capabilities that improve build reliability, test execution, developer productivity, and release velocity.
• Partner with engineering leadership, product managers, and teams across Snowflake to define quarterly and long-term technical roadmaps.
• Drive architectural decisions across build systems, test orchestration, resource scheduling, workflow execution, and developer tooling.
• Identify systemic bottlenecks in the software delivery lifecycle and develop solutions that improve engineering efficiency at scale.
• Establish high standards for design, code quality, testing, observability, reliability, and operational readiness.
• Mentor engineers through design reviews, code reviews, technical guidance, and collaborative problem-solving.
• Lead complex projects involving multiple teams and cross-functional dependencies.
• Participate in incident response, root-cause analysis, and long-term reliability improvements.
• Evaluate emerging technologies and industry practices to keep Snowflake’s developer platform scalable and effective.

Requirements

• 7+ years of industry experience designing and building production software systems.
• A track record of technical leadership across complex, multi-team engineering initiatives.
• Deep experience designing and operating distributed systems at scale.
• Experience building or significantly evolving enterprise-grade Continuous Integration or Continuous Delivery systems.
• Strong computer science fundamentals, including data structures, algorithms, distributed systems, and systems design.
• Proficiency in one or more programming languages such as Java, C++, Python, or Go.
• Experience making architectural decisions involving scalability, reliability, performance, security, and maintainability.
• A strong understanding of developer productivity and the software development lifecycle.
• Excellent problem-solving skills and sound technical judgment.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• A collaborative mindset and a demonstrated ability to mentor and influence engineers across teams.

Preferred Qualifications

• Experience with CI/CD and build systems such as Jenkins, GitHub Actions, Bazel, ArgoCD, or comparable platforms.
• Experience with build optimization, caching, parallel execution, incremental builds, or distributed test scheduling.
• Experience designing multi-tenant systems with strong isolation, reliability, performance, and security requirements.
• Experience with Kubernetes, containers, or public cloud platforms such as AWS, Azure, or GCP.
• Experience operating large-scale developer platforms or engineering infrastructure.
• Experience with observability, monitoring, alerting, and production operations.
• Experience authoring technical roadmaps, architecture documents, project plans, postmortems, and root-cause analyses.
• Experience working with data systems, distributed storage, or cloud-based services.
• A history of improving engineering practices and multiplying the effectiveness of teams.

Benefits

Snowflake also offers a comprehensive benefits package, including medical, dental, vision, 401(k), ESPP, paid time off, parental leave, disability coverage, and company-paid life insurance.

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Cortex Code is Snowflake’s coding agent for building with data. It ships inside the platform that thousands of the world’s largest enterprises , including a large share of the Forbes Global 2000 , run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy.

About the Role

This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value , turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake.

What you will do in this role

• Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on.
• Own agent quality end to end: build eval harnesses, diagnose failure modes from real agent trajectories, and run experiments that hillclimb the metrics that matter.
• Drive down cost and latency without regressing quality: prompt caching, context compaction, tool-result offloading, and cheaper model routing for sub-tasks. At Snowflake scale, efficiency is user value.
• Debug production failures and systematically increase robustness: close the loop from a customer’s broken run back to a fix and a regression test.
• Build the data pipelines that feed real-world task insights back into evals and modeling.
• Onboard and bake off frontier models: measure their strengths and failure modes, and decide where each belongs in the product.
• Partner with product and infra: shape user-facing agent behavior, and set the metrics and standards that define a successfully completed complex task.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
• 6+ years of experience shipping software in production, including AI/LLM features.
• Fluency in at least one of Python, TypeScript, or Go, and willingness to work across all three.
• A measurement-first, systems-thinking instinct: you optimize for user outcomes over isolated metrics, and you can design an eval that is not fooling you (sampling, ground-truth quality, leakage, noise).
• Comfort debugging complex, unpredictable, real-world failures.
• Strong communication skills: you can make a quality or cost result legible to engineers, product, and leadership, and collaborate effectively in a team environment.

Nice to have

• Deep hands-on experience with agentic coding tools and real intuition for model strengths, failure modes, and prompting limits.
• Prior work on eval harnesses, LLM observability, or safety/guardrails in production.
• Background in data engineering, data modeling, analytics, retrieval/RAG, or semantic layers, which is highly relevant for data-centric coding agents.
• Experience working with large-scale datasets or production system logs.

You may be a particularly good fit if you

• Are a power user of modern coding agents and want to turn that intuition into systematic measurement and improvement.
• Have built and owned complex systems , pipelines, orchestration, or software with substantial state, branching logic, and operational requirements.
• Thrive in high-intensity environments with short feedback loops and high standards for rigor.
• Take problems to completion independently: you don’t stop at a prototype; you care about production reliability and clear metrics.
• Are genuinely bothered by numbers that do not reconcile.

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Staff Escalation Manager

Our Staff Escalation Manager reviews automatic and manual escalation nominations and can quickly assess the viability of the escalation request. They can strike the proper balance between serving customers' needs and being Snowflake ambassadors. They assemble multiple data points from different systems to create an overall picture of the customer's current situation.

Your Responsibilities:

• Work on non-routine problems that require techniques for which solutions are not always established
• Work within defined processes and helps determine the appropriate approach for new issue types
• Work independently with almost no supervision on day-to-day operations
• Prioritize tasks to manage their escalation queue effectively, rarely requiring input from their managers
• Serve as a mentor to junior staff on escalation practices; however, has no direct supervisory responsibilities
• Optimize AI-assisted workflows for escalation management, refining prompt strategies and tooling to improve team efficiency and output quality

In this role, you will:

• Own medium to high complexity cases and account escalations that may require a higher technical aptitude
• Work independently to define strategies for addressing highly complex escalations
• Leverage data from escalation models to drive and influence action on escalations
• Use AI tools independently to aggregate multi-source data, identify escalation patterns, and accelerate root-cause analysis, serving as a resource for peers on effective AI usage
• Suggest improvements to the overall escalation process and methodology
• Lead escalations for highly visible customers, including those nominated by senior leadership
• Able to prioritize and manage multiple highly visible escalations, keeping all parties updated on progress regularly
• Drive internal team alignment in preparation for customer meetings
• Drive consensus from all necessary internal resources at the appropriate level before making commitments on behalf of Snowflake
• Expertly navigates the right teams using the appropriate channels to create the action plan
• Ability to influence resources across cross-functional teams involved in handling the escalation
• Ability to take a big-picture approach to determine the root cause of escalations to ensure an adequate long-term solution is provided
• Work independently across the org to create, polish, and send customer-facing post-mortems/RCAs based on the specifics of the escalation

Customer Advocacy:

• Demonstrate strong escalation management practices to address customer issues for the long term
• Provide guidance and mentorship in quality escalation management to team members
• Present the Global Escalation program, process, and principles to an internal and external audience
• Continuously monitor and keep a pulse on the customer's temperature
• Demonstrate heightened awareness of the overall customer situation, how the customer responds to progress updates, and pivot approach as needed to drive customer satisfaction

Team Player and Community:

• Proactively help others
• Develop expertise in others
• Cool under challenging situations; holds things together in tough times
• Comfortable with ambiguity and making difficult decisions
• Embody Snowflake Values, acting as a role model to more junior team members
• Participate in the hiring process as a key interviewer and demonstrates the ability to assess the skills and potential of interview candidates accurately

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This role is essential to the smooth running of our Performance Excellence cycle, ensuring that every phase of the process is coordinated effectively and on schedule.

In this role, you will be the primary "executor" for our established talent milestones. You will handle the logistics for performance review cycles, the administrative coordination of talent and succession reviews, and the delivery of our employee listening surveys.

Additionally, you will serve as the primary system administrator and program owner for our voice AI 360 platform, managing its scaling and cross-functional operational workflows.

This is a perfect role for someone who loves continuous improvement, process, excels at task management, and enjoys building for scale and ensuring that large-scale, global programs run without a hitch.

Responsibilities

• Drive Performance Excellence: Lead the day-to-day execution of the Performance Excellence cycle , tracking progress against key milestones, sending timely communications and reminders to employees, managers, and global People Team partners at each phase, and ensuring every deadline is met.
• Coordinate Employee Listening & Pulse Surveys: Manage end-to-end coordination of Employee Voice Survey and pulse survey cycles , from distribution lists and completion tracking to targeted reminders and timely delivery of results to People Business Partners and stakeholders.
• Voice AI 360 Platform Administration: Serve as the functional system administrator. Manage the admin dashboard, whitelisting coordination, participant/provider invitation tracking, and real-time completion monitoring.
• Cross-Functional Stakeholder Interfacing: Act as the primary operational liaison with Procurement and Finance to manage Statement of Work (SOW) legal reviews, purchase orders, budget allocations, and vendor invoicing for platform scaling.
• Support Talent & Succession Logistics: Assist in the rollout of talent reviews and succession planning by organizing meeting materials, managing participant lists, and ensuring all data templates are updated and ready for use.
• Maintain Program Documentation: Keep our talent "playbooks" and internal resource pages up to date.
• System Task Management: Act as a functional user of our talent systems, helping to test new cycle launches and enhancements, and troubleshooting basic user issues.
• Communication Support: Draft and distribute routine program updates and announcements.
• Reporting & Tracking: Pull regular reports to track participation across all talent programs, identifying any gaps in completion, monitoring anonymized Team Insights dashboards, and escalating issues to the team as needed.
• Operational Improvement: Provide feedback on the "user experience" of our cycles, suggesting small, practical tweaks to the coordination process to make it more efficient for the next time.

Qualifications

• Experience: 5+ years in HR coordination, talent operations, or program management.
• Education: Bachelor's degree in Human Resources, Business Administration, Organizational Development, or a related field , or equivalent experience.
• Certifications: SHRM-CP or PHR preferred.
• AI Native: You naturally incorporate AI tools into your daily workflow and are curious about how emerging technology can make programs smarter and more efficient.
• Proactive Learner: A desire to understand the "why" behind the talent cycles while remaining focused on the "how" of the execution.
• Execution-Minded: You enjoy working with checklists and project plans; you are motivated by seeing a project through to 100% completion.
• Detail Obsessed: You have a high bar for accuracy, especially when it relates to employee data, program timelines, and data anonymity boundaries.
• Technical Proficiency: Comfortable using Google Workspace (Docs, Sheets, Slides), navigating HRIS platforms (Workday experience is a major plus), and a quick adaptability to emerging HR tech platforms (such as Voice AI/conversational feedback tools).
• Clear Communicator: Ability to write clear, concise instructions and communicate effectively with global employees, HR partners, and external vendor teams.
• Organizational Skills: Proven ability to manage multiple small tasks and deadlines simultaneously without losing focus.
• Vendor & Stakeholder Management: Proven experience interfacing with cross-functional corporate departments such as Procurement, Legal, and Finance for vendor onboarding, contract execution, and budget tracking.

Preferred Qualifications

• Experience supporting survey platforms (e.g., Workday, Qualtrics, AI Powered/Custom Apps).
• Experience administering AI-driven talent development or conversational feedback platforms.
• Experience in a high-growth or global corporate environment.
• Ability to use Canva or similar tools for basic layout/design of instructional materials.
• Workday HCM certification or equivalent platform training.
• CAPM, PMP, or equivalent project management credential.

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ABOUT THE TEAM:

We exist to improve Product leaders’ understanding and decision-making on how to profitably grow the business. Our North Star is to increase workload contribution margin dollars above the current forecast by serving as an objective, full-stack business partner. We do this by measuring key metrics, inferring actionable insights, catalyzing strategic decisions, and accelerating operational efficiency across Product, Engineering, and Sales.

ABOUT THE ROLE:

This is a high-visibility role that sits at the intersection of product strategy and financial analysis, giving you a unique vantage point to influence how we scale our business. This is a finance role embedded within product organizations. You’ll be asked to think like an investor or financial analyst first and use technical tools to accelerate your work.

RESPONSIBILITIES:

• Develop & Maintain Financial Models: Build and iterate on financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins.
• Drive Revenue & Margin Insights: Analyze historical and forward-looking trends for revenue, COGS, and margin to provide actionable recommendations that influence pricing, packaging, and go-to-market strategies.
• Partner with PMs and Sales: Collaborate with Engineering, Product Managers and Sales to evaluate new product features or market opportunities. Support business case development by providing data-driven insights into revenue potential and profitability. Communicate complex technical or financial concepts in a succinct, easy-to-understand manner to stakeholders at all levels.
• Data-driven Insights (SQL): Find the "why" behind the numbers. You will go beyond the surface by mastering our complex data structures and business drivers. By learning to navigate our schemas and tables, you’ll be able to ensure that you deliver timely and accurate insights.
• Accelerate Insights with AI: Leverage Snowflake Intelligence and AISQL daily to automate manual reporting and speed up your insight discovery process. You will use our native AI features to streamline complex workflows, allowing you to focus less on manual data prep and more on driving strategic insights.
• Build Scalable Reporting & Tooling: Translate your data findings into automated, high-visibility dashboards that Product and Finance leaders rely on for decision making. The dashboards you build will be maintained by Snowflake’s business intelligence team.
• Optimize Cloud Spend & Infrastructure: While revenue is your focus, you’ll also identify and resolve abnormalities in infrastructure spend to maintain healthy margins. Provide recommendations to reduce COGS/OpEx and improve cost efficiency.

REQUIREMENTS:

• Strong Financial & Analytical Skills: Proven ability to build financial models, analyze qualitative and quantitative data, and juggle competing priorities in a fast-paced environment.
• Bachelor’s Degree: In Finance, Economics, Data Science or a related field.
• 2–5 Years of Experience: Background in Finance, Investment Banking, or Consulting. Experience in SaaS, Cloud, Data, or Fintech environments,especially partnering with Product, Engineering, and Sales as a finance analyst,is strongly preferred.
• Data Driven Insights (SQL Preferred): You have a high aptitude for navigating technical systems and data structures. While you don’t need to be a SQL expert on day one, you possess the ability to quickly become proficient in understanding complex schemas and data logic. Prior experience with financial modeling tools and BI platforms is a plus.
• Revenue & Margin Analysis Experience: Experience analyzing revenue, COGS, and margin trends. Familiarity with Salesforce or other GTM systems to reason about historical and forward-looking trends is highly beneficial.
• Ownership & Problem-Solving Mindset: Adept at working through ambiguity and taking initiative. Anticipate next steps, coordinate with stakeholders, and push projects forward.
• Exceptional Communication: Able to translate complex data into actionable insights for non-technical audiences. Comfortable presenting to VP/C-level leadership.
• Continuous Improvement Mentality: You’re always looking for ways to optimize. The first version of your work is never your last,you believe there’s always a better way.

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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.

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 Will 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.
• 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
• Expect approximately 30% travel

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We're looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

WHAT WE OFFER:

• Paid, full-time internships in the heart of the software industry
• Post-internship career opportunities (depending on availability)
• High level of access to supervisors (manager and buddy), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

IN THIS ROLE YOU GET:

• Exposure to a fast-paced and fun culture
• Work with a dedicated SDR Buddy supporting your journey
• Collaborate with the sales team to support lead generation efforts
• Work closely with experienced SDRs and SDR Managers in day-to-day business
• Develop critical sales skills and gain insight into tech sales processes and best practices

WHAT WE EXPECT:

• Availability for 6 months
• Desired level: 4th year undergraduate
• High energy self-starter ready to take on anything to learn and be part of the team
• Strong problem-solving and ability to learn quickly in a dynamic environment
• Dedication and passion for technology
• Proven ability to organize and work with data
• Passion for sales, IT, and marketing
• German and English at work proficiency level

POSSIBLE TEAMS / WORK FOCUS AREAS:

• Gather prospecting intelligence to help build pipeline faster
• Collaborate with Sales Development Representatives on their prospecting journey
• Enrich data by identifying buying personas and entering them in Salesforce
• Help prepare and support marketing campaigns and uncover leads via social media
• Support Operations projects

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The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations.

Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions.

As a Software Engineer, you will contribute to the development of ML and LLM-based solutions, propose new ideas, and keep improving the existing models.

You will:

• Develop and refine ML models that are critical to Snowflake’s business
• Design metrics and experiments to validate your insights
• Help to implement projects that span our stack, including Java and Python services hosted in Snowflake and Kubernetes
• Collaborate with a cross-functional team, including product management and design
• Deliver features requiring close coordination with several partner teams
• Be a participant in defining the product vision and team planning
• Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions

Our ideal Software Engineer will have:

• B.S. or M.S. degree in CS, or equivalent discipline
• 3+ years of hands-on software engineering experience
• 1+ years of working ML experience
• Interest in the State of the Art LLM-based solutions
• Great communication skills, both verbal and written and an interest in working with a diverse set of peers and external developers
• Genuine enjoyment of the art of building great software, and a love of learning new things

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Snowflake's Content Marketing team is evolving into a Content Center of Excellence (CoE) that earns market authority through deep topic ownership, original research, and AI-powered workflows.

As a Senior Content Marketing Manager, you will drive original research initiatives, develop thought leadership narratives on priority topics, and architect AI-driven content workflows.

Key Responsibilities:

Research & Thought Leadership

• Own and drive original research programs , surveys, data studies, competitive analysis, and industry benchmarking , that establish Snowflake as a thought leader on priority topics
• Develop and maintain deep subject-matter expertise in 2-3 priority topic areas and build authoritative long-form content: research reports, executive bylines, data-driven blog series, and op-eds
• Partner with internal SMEs, and executives to source insights and translate them into high-impact narratives
• Track share-of-voice, search trends, and competitive positioning to identify content gaps and opportunities where Snowflake can lead the conversation

AI Workflows & Content Innovation

• Design, build, and continuously improve AI-powered content workflows using Snowflake Cortex, CoCo Skills, and Content Studio (our Streamlit-based AI content engine)
• Create and maintain AI skills and prompt chains for content production: blog drafting, ebook generation, SEO optimization, copyediting, brand voice compliance, and content auditing
• Serve as the team's AI workflow architect , evaluate new AI capabilities, prototype tools, and integrate them into the content production pipeline
• Build self-serve AI tools that enable non-content teams (product marketing, field marketing, partner marketing) to produce on-brand, CoE-quality content independently
• Measure and report on AI workflow adoption, time savings, and content quality improvements
• Evangelize the CoE's content standards, AI tools, and workflows to product marketing, corporate communications, engineering blog, and partner marketing teams

Content Strategy & Production

• Write and edit high-quality content across formats: research reports, ebooks, solution briefs, blog posts, web pages, executive bylines, and campaign assets
• Ensure all content aligns with Snowflake brand voice, SEO best practices, and CoE editorial standards
• Use content performance analytics (page views, engagement rates, scroll depth, downloads, pipeline influence) to inform editorial strategy and prioritization
• Manage content calendars, production timelines, and cross-functional stakeholder relationships

Requirements:

• 5-7+ years of experience in content marketing, editorial, or digital content strategy , preferably in B2B technology or enterprise SaaS
• Demonstrated experience building or using AI tools for content creation and content processes , prompt engineering, AI agents, LLM-powered workflows, or similar
• Strong writer and editor with proven ability to produce research-driven, long-form thought leadership content (bylines, research reports, data studies)
• Experience designing and executing original research programs (surveys, data studies, benchmarks) that generate earned media and thought leadership positioning
• Ability to work with technical concepts (data engineering, AI/ML, cloud infrastructure, security) and translate them into compelling narratives for business and technical audiences
• Strong project management skills , ability to own and drive production schedules, manage stakeholders, and coordinate across multiple teams simultaneously
• Experience using content analytics (traffic, engagement, SEO rankings, pipeline attribution) to inform strategy and demonstrate ROI
• Comfort with data tools and willingness to learn Snowflake-specific platforms (Cortex, Streamlit, SQL basics)

Preferred Qualifications:

• Experience with Snowflake, or similar cloud data platforms
• Hands-on experience with AI/LLM platforms (building agents, prompt chains, RAG pipelines, or AI-assisted editorial workflows)
• Experience working in or with a content center of excellence model
• Familiarity with SEO tools and strategy (search volume analysis, keyword research, competitive gap analysis)

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IN THIS ROLE YOU GET TO:

• Build revenue pipeline by setting introductory meetings with target influencers and key decision makers
• Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns
• Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email
• Apply effective communication skills, collaborating directly with customers, sales and cross functional teams
• Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team
• Attend sales meetings, trainings, and local trade shows to keep current with technology and ecosystem

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• University degree from an accredited institution
• A passion for technology and software sales, 1-2 years of customer facing experience is preferred
• Ability to develop strong, long-lasting relationships (both internal and external)
• Ability to manage time effectively, work independently, and be self-motivated
• The ability to thrive in a company environment of rapid change; reacting to management initiatives; taking the "customer view"; adopting customer corporate ‘perspective’; accepting change to business/personal situations
• Resourcefulness and results driven operating style
• Collaborative and coachable mindset - you should be excited about continuously improving your skills and impact
• Strong in-person, phone, and written customer communication skills
• Ability to prioritize work assignments and shift work efforts based on the needs of the department or business goals.
• Knowledge of Salesforce, Outreach, Linkedin Sales Navigator and effective use of AI models a plus.

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Responsibilities

• Work closely with international payroll partners to ensure accurate and on-time payroll processing
• Prepare and adhere to a schedule/payroll calendar and agree on timelines with payroll vendors and internal stakeholders
• Accurately capture all inputs to be provided to payroll vendors in a timely manner
• Review output thoroughly, including performing payroll analysis and comparing it to prior periods
• Support monthly/quarterly accounting close activities, account maintenance and reconciliations, financial reporting, and variance analysis
• Ensure compliance with local jurisdictions for activities within the payroll domain, including statutory filings and key annual audits
• Monitor and measure SLAs with payroll vendors and recommend corrective actions
• Collaborate with cross-functional business partners to streamline processes
• Recognize opportunities and recommend process improvements
• Provide excellent payroll support to employees and cross-functional teams
• Create and maintain payroll documentation
• Provide support in various system implementation projects and audits

Requirements

• Bachelor's/Master's degree in Business, Finance, or Accounting
• 5-10 years of relevant and progressive payroll experience, preferably in public company payroll
• Experience working with international payroll platforms such as ADP, EY, Cloudpay, or other global payroll platforms
• Strong communication, analytical, and problem-solving skills
• Proficient in utilizing computer applications such as Microsoft Excel and Google Suite apps
• Familiarity with Workday HCM and Workday Financials is a plus
• Understanding of accounting, taxation, and finance concepts related to payroll
• In-depth knowledge of payroll-related compliance requirements

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Responsibilities

In this role at Snowflake, you will:

• Prepare financial statements and notes to accounts in accordance with local GAAP and internal policies.
• Convert US GAAP trial balances to local GAAP or IFRS, reconcile balances periodically, and document GAAP differences.
• Ensure entries in the local GAAP ERP are recorded accurately and on time.
• Partner with the Tax team to provide information for interim and final tax provisions.
• Prepare and review balance sheet account reconciliations.
• Establish audit timelines with external auditors and standardize prepared-by-client (PBC) lists.
• Communicate audit requirements and deadlines to stakeholders, monitor progress, resolve queries, and drive audits to completion.
• Manage statutory filings, including certified annual financial statements and supporting documents required by local authorities.
• Review financial close activities regularly to identify and resolve unusual items.
• Collaborate with global Accounting Operations and cross-functional teams, including Tax, HR, Legal, and Compliance.
• Create and maintain standard operating procedures (SOPs).
• Maintain organized, accessible records and ensure timely data backups in accordance with internal policies.
• Identify and implement accounting and process improvements to streamline operations.
• Research changes to accounting standards, income tax regulations, and compliance requirements, and assess their impact.
• Prepare disclosure checklists and ensure compliance with applicable accounting and disclosure requirements.

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We're looking for an experienced events leader to step into a 12-month fixed-term maternity cover as Sr Manager, Strategic Events EMEA. You'll drive and execute Snowflake's PAN-EMEA events strategy, lead a team of six, and own planning for the next fiscal year.

Responsibilities

• Own PAN-EMEA events strategy and planning: Drive the comprehensive events plan, ensuring tight alignment with regional pipeline goals, the Global Strategic Events roadmap, and broader EMEA marketing priorities.
• Lead and develop a team of six: Manage four direct reports and a wider team of six event professionals, setting clear objectives, running development plans and performance conversations, and fostering a culture of excellence and accountability.
• Plan and report on Snowflake-owned flagship events: Have oversight of and accountability for key Snowflake-led programmes, including World Tour and the Data for Breakfast series.
• Steer strategic third-party sponsorships: Ensure planning, global alignment, and performance oversight for Snowflake's largest third-party event investments, including Davos, Mobile World Congress, and Cannes Lions.
• Shape executive programming: Make sure our highest-profile moments deliver meaningful C-level engagement with strategic accounts through executive meetings, roundtables, and dinners.
• Drive measurable pipeline impact: Partner with Field Marketing, Sales, SDR, and Partner teams to ensure every event delivers qualified meetings, pipeline contribution, and opportunity acceleration.
• Manage budget and operations: Own accountability for the overall EMEA events budget, covering forecasting, spend management, and ROI analysis across the portfolio.
• Collaborate cross-functionally: Act as the connective tissue between Global Strategic Events and EMEA marketing functions to ensure consistent messaging and seamless execution.
• Innovate: Bring fresh ideas and formats that differentiate Snowflake in the market and keep the events programme ahead of the curve.

Requirements

• 10+ years in B2B event or field marketing, with 3+ years in leadership roles managing teams and large-scale event portfolios.
• Proven track record delivering strategic events that drive pipeline and revenue in enterprise technology or SaaS.
• Strong people leader with experience managing distributed teams.
• Exceptional executive presence, with the ability to engage confidently with C-level stakeholders.
• Experience leading annual events planning: building a portfolio case, a budget and goals, and securing cross-functional and leadership buy-in.
• Highly collaborative, with a natural ability to align multiple marketing functions and global/regional stakeholders in a fast-paced, high-growth environment.
• Strong financial acumen with experience managing significant event budgets and ROI analysis.
• Comfortable stepping into an established team and programme mid-flight, building context quickly, and delivering impact within a fixed-term engagement.
• Willing to travel across EMEA as needed, including on-site at major events.
• Bachelor's degree required; MBA or equivalent professional experience preferred.

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The Expansion Account Executive is responsible for building client relationships within Enterprise businesses. Individuals who excel at this job have the ability to prospect, develop, and close business within a timely manner while focusing on the clients’ requirements.

AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL:

• Achieve sales quotas for allocated customers on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• 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 and ongoing revenue streams.
• Arrange and conduct Executive and CxO discussions and positioning meetings.
• Sales process management and opportunity closure.
• Ongoing account management to ensure customer satisfaction and drive additional revenue streams.

OUR IDEAL ACCOUNT EXECUTIVE WILL HAVE:

• 7+ years of field sales experience preferred with an emphasis on data or cloud related technology.
• 2+ year’s experience expanding and generating new business within existing Enterprise accounts.
• Proven ability to independently manage, develop, and close new client relationships.
• Experience hitting quota of $1M+ of ARR per year.
• A track record of success in driving consistent activity, pipeline development and quota achievement.
• Experience determining customer requirements and presenting appropriate solutions.
• Pro-active, independent thinker with high energy and a positive attitude.
• Excellent verbal and written communication, presentation, and relationship management skills.
• Ability to thrive in fast-paced startup environment.
• Executive level relationship management.
• Ability to understand the "bigger picture" and the business drivers around IT.
• Professional proficiency in Dutch

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Experience implementing MEDDPICC.
• Experience selling software or cloud based applications is desired.

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We're hiring talented Senior Software Engineers for the Snowflake Dynamic Tables team in Berlin, Germany. Join us to build the next generation data platform that enables customers to transform data with declarative SQL while maintaining control over cost, latency, and throughput.

AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:

• Work with a talented and collaborative team of engineers and Product Managers in our globally distributed team to define the capabilities and technical designs for Dynamic Tables
• Interact with customers to understand their needs, and synthesize those into product and technical roadmaps
• Have responsibility and authority for driving new capabilities and performance improvements from inception to landing
• Build highly reliable and performant software that holds up under the reliability and scale demands of the largest enterprise customers
• Analyze and solve performance, correctness, and fault-tolerance challenges at scale
• Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance

OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:

• 5+ years of industry experience designing and building distributed data systems
• 3+ years of experience with internals of query compilers
• Experience building enterprise-grade, reliable and trustworthy software or services
• Degree in Computer Science or related field
• Excellent problem-solving skills and strong CS fundamentals including data structures, algorithms, distributed systems, relational algebra or SQL
• Adaptive and collaborative – would rather play in a band than be a soloist, and looks for opportunities to both mentor and learn
• Strong English communication skills

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Direct interactions with enterprise customers
• Incremental view maintenance / materialized views

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As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications.

Responsibilities

• 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.

Requirements

• 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.

Benefits

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](http://careers.snowflake.com/)

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The Director of Global Marketing Operations will lead Snowflake’s global strategy, platforms, and teams that power a modern, scalable, AI-forward marketing organization. This role emphasizes scalable process design, intelligent automation, and cohesive platform architecture to deliver high-volume, world-class campaigns and stakeholder services across regions.

Responsibilities

Marketing Platforms, Data, and Agentic Marketing Practices

• Own the vision and evolution of Snowflake’s marketing platforms, ensuring tools like Salesforce, Marketo, Demandbase, Clay and others operate as an integrated ecosystem
• Lead the implementation of an agentic marketing ops strategy, identifying opportunities to replace manual, time-consuming work that improves the efficiency of the direct and cross-functional teams.
• Audit and modernize marketing data architecture, ensuring high data quality, accessibility, and governance across all channels and regions
• Partner with Marketing Intelligence to define and maintain dashboards that surface insights and inform executive decisions

Process Optimization & Operational Scale

• Design and standardize end-to-end processes across the lead lifecycle, from response to MQL through handoff, nurturing, and measurement. The result should be a proactive lead monitoring process that ensures lead target achievement.
• Own the operational framework for Snowflake’s global email and lifecycle strategy, ensuring consistency, compliance, and scalability. Incorporate first and third party data to operationalize real-time personalization.
• Drive experimentation and optimization (A/B testing, process iteration) with a focus on repeatable impact and translation of insights into deliverables.

Strategic Planning and Budget Management

• Manage the marketing operations budget and technology renewals, aligning resources with strategic goals and ensuring efficient use of funds.
• Monitor and report on marketing performance against targets, providing insights and recommendations for improvement.
• Align the marketing organization’s annual and quarterly targets with Snowflake’s sales organization, in partnership with Marketing Intelligence

Team & Partner Leadership

• Lead, develop, and scale a high-performing global Marketing Operations team
• Manage agency and external partners as an extension of the team, with clear ownership, prioritization, and accountability to contracted agreements.
• Manage change effectively, communicating and aligning on operational changes and new initiatives across the marketing organization

Requirements

• Have 10+ years of experience in marketing operations, including 5+ years leading teams in high-growth B2B software environments
• Are AI-forward, with experience applying automation, AI, and workflow orchestration to standardize processes and reduce manual effort
• Have deep expertise in top-of-funnel strategy, lead lifecycle management, and conversion optimization tied directly to pipeline impact
• Have managed agency and contract resources, using them strategically to extend team capacity and accelerate modernization
• Have led the definition and deployment of privacy, consent, and data governance frameworks (e.g., GDPR, CCPA)
• Are highly fluent in translating complex data into clear insights that drive executive decision-making
• Can define global operating models, drive alignment with senior stakeholders, and land change across distributed teams
• Possess proficiency and familiarity with the following systems:
• Salesforce Sales Cloud administration, reporting & dashboarding
• Marketo marketing automation
• Outreach sales engagement administration
• Snowflake
• LeanData lead routing
• ZoomInfo and other best-in-class data providers
• Demandbase
• Workato
• Clay

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We are hiring a Senior Software Engineer for our Cloud Security team. This team reduces risk to Snowflake at scale through software-defined controls rather than one-off fixes, building the platforms and pipelines that make entire classes of problems go away. You won't just find problems; you'll ship the systems that improve and verify the security posture of Snowflake products across 600+ million assets and three cloud providers (AWS, Azure, and GCP), with a growing focus on using AI to reason over posture data at a scale humans can't.

AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

• Build solutions and services that operate, protect, and govern our security posture across 600+ million assets and three clouds (AWS, Azure, GCP).
• Automate security controls across cloud environments, including core primitives: IAM, detection and monitoring, configuration management, and data protection.
• Build real-time security monitoring, logging, and alerting, using Snowflake technologies to make Snowflake more secure.
• Define and maintain security baselines, policies, and standards for public cloud platforms.
• Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry across hundreds of millions of assets, score risk, and automatically surface the highest-impact issues.
• Own security workstreams end to end and raise the engineering bar through design reviews, mentorship, and technical guidance for the team.
• Bring software engineering best practices to security work: documentation, testing, and observability, because a control you can't test, monitor, or reason about isn't a control.

OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:

• 5+ years of software engineering experience preferred, or equivalent experience.
• Experience designing and owning secure, large-scale systems, with working knowledge of secure architecture principles and threat modeling.
• A passion for developer experience: making security the default rather than a restriction.
• Experience building software in one or more languages such as Java, C++, Go, or Python.
• Familiarity with distributed architectures and building scalable APIs (e.g., gRPC, REST).
• Strong collaboration and communication skills across engineering and cross-functional stakeholders.
• A commitment to data-driven, scalable decision-making that holds up over time.

BONUS POINTS FOR THE FOLLOWING:

• Experience applying AI/ML to security problems (detection, risk scoring, prioritization) and building the data pipelines that feed them.
• Proficiency writing, debugging, and optimizing SQL for data-driven security operations, as a supporting capability.
• A strong grasp of algorithms and data structures applied to complex problems.
• Hands-on experience with Kubernetes and IaC (Terraform, Pulumi).
• Experience designing scalable, concurrent, resilient services for high-demand, multi-cloud environments.

WHY JOIN OUR CLOUD SECURITY TEAM AT SNOWFLAKE?

Our work centers on a platform that makes security easy to deploy and maintain: unifying the developer security experience, increasing developer autonomy, detecting vulnerabilities before they ship, and delivering secure-by-default solutions. A growing part of that is using AI to turn raw posture signal into prioritized action at a scale humans can't match. If you want to build the systems that make entire classes of security problems disappear, and deliver a world-class security experience for developers at Snowflake, this is the team.

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.

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Snowflake customers run more than 3.9 billion queries and 515 million data workloads each day. To support this workload, our globally deployed infrastructure spans multiple cloud providers and manages hundreds of thousands of VMs.

We are hiring talented Software Engineers for our Cloud Infrastructure Engineering teams. If you are passionate about solving complex infrastructure challenges by using software engineering expertise, this opportunity may be for you.

Responsibilities:

• Build a deep understanding of Snowflake’s infrastructure and services
• Demonstrate both infrastructure and software engineering expertise by contributing to the team charter to build and operate highly scalable, resilient, and performant infrastructure.
• Provide technical leadership on large and complex projects that build infrastructure, platforms, tools, and automation in the cloud.
• Evangelize and drive adoption of the Platform to meet business goals.
• Mentor and support more junior team members, leading by example with excellent code quality, documentation, and software development best practices

Requirements:

• BS/CS, MS/CS, or equivalent.
• At least 2+ years experience in a platform or cloud team building spent on supporting mission-critical services and infrastructure in a SaaS environment.
• Strong software engineering fundamentals, coding skills, and knowledge of software development best practices.
• At least 1+ years in cloud computing (AWS, Azure, or GCP).
• Fluent in one or more languages (Golang, Java, Python, C).
• Expertise in at least one of the following areas: container platforms, automation, networking, operating systems, site reliability, config management, and infrastructure as code solutions such as Pulumi and Terraform.
• Tremendous attention to detail and ability to build reliable and scalable software systems.
• Effective communication and collaboration skills.
• Ability to troubleshoot and resolve complex technical issues.
• A strong work ethic, ability to self-manage and drive project success, and a passion for problem-solving.

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About the team

The Growth & Product Platform team builds the full-stack systems and services that power user onboarding, trial activation, product discovery, and intelligent engagement across Snowflake. Our mission is to build reliable services, experimentation infrastructure, and data-driven capabilities that help users discover and adopt the full value of the AI Data Cloud. As part of our team, you will work across the full stack: React and TypeScript frontends, Go and Node.js/TypeScript backend services, Java platform integrations, and SQL-based data platforms. A key area of focus is driving Snowflake's product-led growth (PLG) motion and developer adoption initiatives for Cortex Code, our AI-powered development environment. We design in-product discovery mechanisms, intelligent prompts, and contextual starter experiences that guide users to relevant workflows and deepen engagement. We balance rigorous platform engineering with fast-paced product iteration, caring deeply about building systems that are reliable, maintainable, and observable. Snowflake is growing fast, and we are looking for strong engineers to help scale the platform capabilities driving our core product growth.

AS A SENIOR SOFTWARE ENGINEER FOR THE GROWTH & PRODUCT PLATFORM TEAM, YOU WILL:

• Design, build, and ship full-stack features and platform infrastructure that power Snowflake's user-facing product journeys.
• Build and improve frontend experiences using React and TypeScript, including in-product onboarding flows, contextual prompts, and interactive UI components that drive user engagement.
• Drive product-led growth (PLG) initiatives end to end, collaborating with product managers and data scientists to identify activation bottlenecks and build self-serve capabilities that expand product adoption.
• Build full-stack systems and contextual experiences that drive discovery and adoption for Cortex Code, including intelligent prompts, starter workflows, and workspace integration points.
• Drive product experimentation end to end: formulating hypotheses, collaborating on test design, implementing frontend and backend variants, and analyzing performance metrics to guide decisions.
• Bring strong product thinking to technical design, translating user journeys and engagement signals into scalable system capabilities.
• Analyze user behavioral data and platform telemetry to evaluate experiment outcomes, assess feature adoption, and inform technical architecture.
• Build and scale critical backend services supporting trial activation, user onboarding, account provisioning, learning environments, and anti-abuse safeguards.
• Debug and resolve complex production issues across distributed services, relational databases, and platform infrastructure.
• Contribute across the full development lifecycle, from technical design and implementation to testing, deployment, and operational ownership.
• Collaborate closely with engineers, product managers, data science, and cross-functional teams to deliver high-impact product features.
• Contribute to a strong engineering culture through code reviews, technical design discussions, mentoring, and operational excellence.

WE ARE LOOKING FOR CANDIDATES WITH:

• 6+ years of experience designing and building large-scale distributed or user-facing systems in production environments, with experience across both frontend and backend.
• A strong foundation in full-stack development.
• Strong product sense and interest in product-led growth (PLG), user onboarding, and feature adoption mechanics.
• Hands-on experience with A/B testing, experimentation frameworks, or feature-flagging workflows.
• Comfort working with data: querying analytical data stores (SQL), understanding product telemetry, and using metrics to evaluate user behavior and system performance.
• Experience with distributed systems, REST/gRPC APIs, relational databases (such as PostgreSQL), or data platforms.
• Strong coding and debugging skills, with the ability to navigate complex full-stack system architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Strong collaboration and communication skills, with the ability to partner effectively across engineering, product, and data science teams.
• BS/MS/PhD in Computer Science or related fields, or equivalent practical experience.

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Responsibilities:

• Pioneer new instrumentation capabilities in the OpenTelemetry community, defining and building next-generation telemetry collection for emerging domains including LLM/AI inference, Browser RUM, and mobile.
• Design and implement OTel Collector components (receivers, processors, exporters) and SDK instrumentation libraries that strengthen Observe's position as a leading OTel destination.
• Collaborate with the OpenTelemetry open-source community by contributing code, participating in SIG discussions, authoring RFCs, and reviewing pull requests to ensure high-quality contributions.
• Architect and own the Observe Agent , our OTel Collector distribution , including its extension points, pipeline architecture, and release strategy.
• Contribute to OpenTelemetry Semantic Conventions, helping define standardized telemetry schemas for new and evolving technology domains.
• Work with product and field engineering teams to translate customer instrumentation challenges into upstream contributions and product features.
• Represent Snowflake/Observe in the OTel community , present at conferences, build relationships with maintainers at other vendors, and drive consensus on specification decisions.

Requirements:

• 5+ years of software engineering experience with meaningful involvement in the OpenTelemetry ecosystem (Collector, SDKs, or instrumentation libraries).
• Strong programming skills in Go (OTel Collector) and familiarity with at least one SDK language (Java, Python, JS/TS, or .NET).
• Deep understanding of OTel's architecture: the Collector pipeline model, SDK internals, context propagation, and the semantic conventions specification process.
• Experience contributing to open-source projects with multi-vendor governance , consensus-building, RFC authorship, and cross-organizational collaboration.
• Experience building cloud-native services and working with public cloud providers like AWS, Azure, or GCP.
• A passion for open-source software and community engagement, particularly in the observability and telemetry ecosystem.
• Strong opinions on instrumentation design: what makes telemetry useful vs. noisy, and how to balance coverage with performance overhead.

Nice to have:

• Approver or maintainer status in an OTel SIG (Collector, SDK, Semantic Conventions, or OpAMP).
• LLM/AI observability instrumentation , tracing inference chains, token usage, model performance metrics.
• Browser RUM or front-end performance instrumentation.
• Designing and shipping an OTel Collector distribution or Kubernetes operator.

Benefits:

• Be part of Snowflake's strategic investment in open-source observability , shaping the standards the entire industry builds on.
• Work on high-impact instrumentation challenges in emerging domains (LLM/AI, Browser RUM) where conventions don't yet exist and your contributions define the path forward.
• Collaborate with core OTel maintainers and some of the brightest minds in the telemetry ecosystem, with the backing and scale of one of the world's leading data platforms.
• Have a direct feedback loop between your upstream contributions and enterprise customers processing petabytes of OTel data daily through Observe.

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The Apps & Experiences Platform team is powering systems and services for all our user facing apps including Snowsight, Snowflake Intelligence, and new mobile apps.

As Manager for Apps & Experiences Platform Team, you will:

• Own the technical strategy and execution for the team, driving projects from initial idea formulation and detailed system design to high-quality implementation and successful deployment.
• Provide deep technical oversight by actively participating in design reviews, architecture discussions, and drilling into complex system implementations to ensure reliability and scalability.
• Serve as a subject matter expert, setting the bar for engineering excellence and coding best practices within the team.
• Mentor and coach engineers on complex technical challenges and career development, and grow a strong, diverse team through proactive hiring.
• Define team plans and deliverables while remaining accountable for the platform's availability, maintainability, and performance.
• Collaborate closely with the Product Management team to translate user needs and product requirements into clear technical roadmaps.
• Lead the improvement of our engineering processes, tooling, and standards, focusing on efficiency and velocity.
• Partner effectively with other engineering and cross-functional teams to ensure smooth integration and influence the direction of the broader platform.

We are looking for candidates with:

• 9+ years of experience in designing and building large-scale user-facing systems in production.
• 3+ years of experience in managing and leading teams building lean mission-critical, highly concurrent, high-throughput, low-latency systems that power user interfaces.
• Strong collaboration and communication skills.
• Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP, is a plus.
• Strong hands-on skills. Can drill deep into the complex system design and implementation on a routine basis.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

Compensation Range: $236K - $339.2K

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AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:

• Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
• Build and evaluate auto research agents , systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings
• Develop coding agents that understand, generate, and debug code across complex, multi-step programming tasks
• Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors
• Contribute to multi-agent systems where specialized agents collaborate, negotiate, and self-organize to solve enterprise-scale problems
• Develop and curate training data pipelines , both synthetic and human-annotated , to support novel agentic and RL research domains
• Publish research findings at top-tier venues such as NeurIPS, ICML, ICLR, and ACL

OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
• Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems
• Research experience in LLM post-training, fine-tuning, or reasoning model development
• Demonstrated ability to implement and experiment with agentic architectures , including tool-use, planning, and self-correction loops
• Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)
• Strong mathematical and analytical foundation , comfortable working at the intersection of theory and empirical research
• At least one first-author or co-authored publication or preprint in a relevant AI/ML area

BONUS POINTS FOR THE FOLLOWING:

• Hands-on experience building or evaluating coding agents or auto research agents
• Familiarity with recursive self-improvement frameworks or automated AI scientist paradigms
• Experience with large-scale distributed training or efficient training paradigms
• Background in mathematical reasoning, structured decision-making, or program synthesis
• Exposure to domain-specific AI applications in healthcare, finance, or enterprise workflows

WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?

Snowflake's AI Research team operates at the frontier of what autonomous AI systems can do , not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact.

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You will be part of the FoundationDB team, which builds features on open-source FDB that improve the performance, scale, reliability, and operability of the product. FoundationDB powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs.

AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

• Identify strategically important problems, inefficiencies, or opportunities for impactful improvements
• Own the end-to-end delivery of your projects, from identifying a solution to design, implementation, testing, and safe production rollout
• Design and implement critical high-performance systems to handle the ever-growing request rate of our database
• Build the next-generation transaction system, caching, storage engine, and multi-tenant capabilities
• Evangelize best practices in database usage and end-to-end architecture
• Analyze and understand performance and scalability bottlenecks in the system and solve them
• Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions

OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:

• 6+ years of hands-on software engineering experience
• Systems programming skills, including multi-threading and concurrency, with fluency in C++, C, or Java preferred
• Experience designing, building, and operating large-scale distributed systems or web services
• Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. is a plus
• Strong CS fundamentals, including data structures, algorithms, and distributed systems
• A track record of delivering highly complex projects in the distributed systems space
• Intense curiosity, willingness to question, and passion for making systems better
• Strong technical problem-solving, communication, and collaboration skills
• Excitement about the challenge of hard technical problems
• A BS in Computer Science; Masters or PhD preferred

Compensation Range: $200K - $287K • Offers Equity

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We are hiring a rock star leader for our ES AI team. This team plays a crucial part in transforming how the Snowflake product is developed, evaluated and supported. The job is no less than building the ecosystem that powers our AI-pilled engineers and our agentic organizations and reinvents the SDLC for Snowflake.

As the manager for this growing team, you will lead the group of engineers working to reinvent how code is written, reviewed and runs in production to usher scale and velocity for the AI era. With context as the new source code, you will make it possible for every engineer at Snowflake to deliver through intent and direction.

In this role, you will:

• Lead, coach, and grow the team, creating a high-energy, cohesive environment with strong planning, ownership, and career development.
• Deliver the vision and roadmap for transforming the SDLC for all Snowflake engineers.
• Drive measurable improvements in code review latency, ensure Snowflake developers can use the latest harnesses and models, and create the golden paths that agentic codebases are built upon.
• Act as an agent of clarity in a space that is moving fast, making high quality decisions quickly by keeping up with the latest developments in the industry.
• Own operational excellence for the area, including on-call health, incident response, postmortems, and balancing project delivery with ongoing maintenance and support work.

Our ideal candidate will have:

• 15+ years of software engineering experience
• 5+ years of experience leading a technical engineering team with a strong mix of people leadership, roadmap ownership, and hands-on technical judgment.
• Demonstrated hands-on experience working with the latest AI tools, particularly in the productivity space.
• Excellent written and verbal communication skills, with the ability to align stakeholders, secure buy-in, and bring clarity to ambiguous, cross-functional work.
• A pragmatic, customer-obsessed mindset and a bias for measurable impact through reliability, performance, and ease of use.
• Bonus points for experience with developer productivity tooling, AI-assisted engineering workflows, and modern CI/test platform modernization efforts.

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.

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Come join us to play a leading role in Enterprise AI evolution!

Snowflake empowers every enterprise to achieve its full potential by making agentic AI accessible, trusted, and easy to use. As a rapidly growing team at Snowflake, we are the customer zero of our products where we develop first-of-a-kind AI solutions for our go-to-market teams to amplify their productivity & effectiveness by 10x. We then bring those solutions & learnings to our customers to help them drive significant business impact through AI transformation.

AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:

• Own enterprise AI products and features that ship to thousands of Snowflake sales professionals
• Define the product roadmap and establish a data-driven prioritization process for incoming feature requests
• Define the product requirements for upcoming features and product launches
• Perform user & market research to validate product requirements and designs
• Work with engineering, data and sales teams to deliver your roadmap using agile sprints
• Map your dependencies to core platform teams and influence their product roadmap & requirements
• Work with sales enablement teams to activate your products & features with thousands of sales professionals
• Develop product strategy for new areas via AI-driven workflow automations.
• Become an expert in your area and engage with external customers to help them develop similar solutions using the best of Snowflake!

OUR IDEAL CANDIDATE WILL HAVE:

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 5+ years of experience in Product Management.
• Experience with SaaS products and/or building products for business users (preferred)
• Experience with sales / RevOps (preferred)
• Experience with launching customer-facing genAI products (preferred)
• Experience working in an Agile development environment as product owner.
• Hands-on experience with structured/unstructured data and driving data requirements for user-facing products.
• Familiarity & experience with Snowflake products (preferred)
• Good communication and presentation skills
• Experience with working in projects with cross-functional stakeholders.

WHY JOIN OUR TEAM AT SNOWFLAKE? Join us in shaping the future of enterprise AI where you create direct revenue impact with the products you build & the customers you support. You'll work with cutting-edge AI technologies while solving complex challenges for enterprise users. You will work daily with a cross-functional team across engineering, data science & sales while getting exposure to execs across the organization.

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.

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Snowflake is expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data.

We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production.

AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL:

• Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans.
• Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution.
• Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle.
• Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latency query processing, storage, indexing, compaction, recovery, replication, and scalability.
• Ensure operational readiness and reliability of mission-critical database services, meeting customer commitments for durability, availability, performance, and security through automation, observability, and operational safety.
• Drive trade-offs across consistency, latency, throughput, availability, scalability, durability, security, and cost.
• Lead major initiatives from design through implementation, launch, and production operation.
• Partner with Engineering, Product, and cross-functional leaders to define priorities, align roadmaps, plan staffing, and coordinate execution across organizational boundaries.
• Recruit exceptional engineers and engineering leaders, and develop existing team members into larger technical and leadership roles.

OUR IDEAL CANDIDATE WILL HAVE:

• 10+ years experience in database internals, OLTP databases, or distributed storage systems.
• 8+ years leading engineering teams, including multiple teams and managers.
• Deep experience with transactions, concurrency, consistency, replication, recovery, storage, and database performance.
• Strong understanding of AI-assisted and agentic software development and its application across the engineering lifecycle.
• Experience operating mission-critical systems with high standards for availability, durability, observability, operational safety, and incident response.
• Strong communication and collaboration skills, with the ability to drive alignment and influence across organizational boundaries.
• Strong hands-on technical ability, including navigating complex codebases and diving deep into system design and implementation.
• Experience with OLTP database internals or Postgres internals.
• Significant cloud experience across AWS, Azure, and/or GCP, including highly available services.
• BS/MS in Computer Science or related field, or equivalent experience.

WHY JOIN THE OLTP ENGINEERING TEAM AT SNOWFLAKE?

This is an opportunity to help define the next generation of Snowflake's OLTP database platform and expand the workloads customers can bring to the Data Cloud.

You will work on some of the hardest problems in database systems - transactions, concurrency, latency, storage, distributed systems, reliability, and cloud-scale operations - while building and developing the engineering organization needed to solve them.

You will work alongside industry veterans and emerging leaders to create database technology that combines the simplicity and operational experience Snowflake customers expect with the performance and reliability required by mission-critical transactional applications.

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.

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We are looking for a visionary Director of Traffic and Networking to lead the group responsible for the very circulatory system of our global cloud infrastructure.

The Mission

Every query, every login, every byte of data in Snowflake's Data Cloud travels through the systems this team builds. The Traffic & Networking group is responsible for the ingress, egress, domain management, and internal networking layers that connect thousands of customers to Snowflake across public and private connectivity paths. We build and deploy software to enable seamless service-to-service and user-to-service communication across all traffic types spanning every environment and cloud provider Snowflake touches. Your goal is to ensure robust domain management, efficient traffic flow, and reliable connectivity while relentlessly improving product velocity, and operational efficiency.

What You Will Do

As a senior engineering leader at Snowflake, you will be expected to:

• Set the Strategic Vision: Define the roadmap for Snowflake’s networking foundation and be accountable for the execution of complex plans and deliverables.
• Scale Infrastructure: Guide your team in building software solutions that automate and scale networking across multiple cloud providers including AWS, Azure, and GCP.
• Drive Innovation: Lead projects from initial idea through design and implementation, collaborating with teams in the US, Ireland, Poland, and beyond.
• Technical Leadership: Provide deep technical expertise with a focus on high-performance, security, and the abstraction of complex cloud networking layers.
• Build the Team: Actively recruit, hire, and grow a diverse team of industry veterans and rising stars.
• Mentorship: Be responsible for the career development of your reports through continuous coaching and mentorship.
• Operational Excellence: Shift resources dynamically to respond to production issues and customer needs, ensuring high levels of reliability.

Your Professional Profile

We are looking for an exceptional leader who views infrastructure through a product development lens.

• Experience: 15+ years of software engineering experience, with at least 5+ years in engineering management leading leaders.
• Distributed Systems Expertise: Proven track record in designing systems and managing large-scale production infrastructure with a focus on networking, compute, or storage
• Cloud Fluency: Strong hands-on experience with cloud service providers.
• SaaS Background: Deep experience working at scale within a multi-tenant or multi-single-tenant SaaS model, handling billions of complex queries and massive traffic ingress/egress.
• Communication: Excellent collaboration skills to bridge the gap between complex networking requirements and cross-functional business goals.
• Education: BS/MS/PhD in Computer Science or a related field, or equivalent practical experience.

Why Join This Team?

• Impact: You're actively evolving a network architecture, building new observability capabilities, modernizing legacy infrastructure, and designing the next-generation connectivity model across multiple clouds.

Every Snowflake team depends on what this group ships. Infrastructure is our product.

• Growth: This role will push your technical and leadership boundaries in an environment that values practical decision-making and creativity.
• Security First: You will play a critical role in upholding Snowflake’s high standards for data security and confidentiality.
• Builder's Culture: We ship our own proxy infrastructure, our own service discovery, our own network automation.

This is a build role for someone who wants to own the full traffic stack.

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The Apps & Experiences (AppEx) organization powers the unified web user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth.

As a Staff Software Engineer, you will own the strategy, build the tooling, and drive the culture needed to keep Snowsight fast. You will partner across our platform and product teams to make performance a default rather than an afterthought.

Responsibilities:

• Define and drive the web performance strategy for Snowsight, setting goals grounded in real user metrics.
• Build and maintain performance infrastructure, including RUM/synthetic monitoring pipelines, regression detection in CI, bundle analysis, performance dashboards, and alerting.
• Identify and fix systemic performance bottlenecks across the application lifecycle.
• Optimize build and delivery, working with the team on bundle size, tree-shaking, chunk splitting strategies, CDN caching, and resource prioritization.
• Establish performance budgets and guardrails integrated into CI/CD.
• Partner with product teams to design performance-aware architectures for new features.
• Mentor engineers across the org on performance best practices.
• Represent Snowflake's frontend performance perspective in cross-org architectural decisions.

Requirements:

• 8+ years of software engineering experience, with deep expertise in web performance for large-scale, complex web applications.
• Expert-level JavaScript/TypeScript and React knowledge.
• Strong understanding of browser performance fundamentals.
• Experience designing and operating RUM and synthetic performance monitoring at scale.
• Deep knowledge of build tooling and delivery optimization.
• Experience with large dataset rendering.
• Strong communication and influence skills.
• Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices.

Preferred Qualifications:

• Familiarity with server-side rendering, streaming SSR, or edge rendering patterns and their performance implications.
• Familiarity with browser engines or internals.
• Contributions to web performance standards, browser APIs, or open-source performance tooling.
• Experience with observability platforms and building internal performance tooling.
• Background in data-intensive UIs.

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Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale.

As a Senior Technical Support Engineer, you will be a trusted advisor and technical resource for our customers.

Key Responsibilities

• Deliver expert-level technical support to customers through phone, email, and chat.
• Troubleshoot and resolve complex technical issues involving our observability platform, integrations, and customer environments.
• Partner with engineering teams responsible for performance to become the subject matter expert on performance issues related to components like dashboards, monitors, and datasets.
• Help to design and build AI skills that increase technical support engineering productivity, quality and speed.
• Own and manage high-priority escalations, coordinating with engineering and product teams to drive resolution.
• Create and maintain high-quality technical documentation, including knowledge base articles and runbooks.
• Act as a technical liaison between customers and internal teams, translating customer feedback into actionable product insights.
• Participate in the on-call rotation to support urgent customer issues outside normal hours.
• Proactively contribute to process improvement, tooling, and support automation initiatives.
• Mentor junior support engineers and help level up the broader team through knowledge sharing.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related technical field.
• 5+ years in a technical support or customer-facing engineering role, ideally in a SaaS, DevOps, or observability-focused environment.
• Deep familiarity with operating systems (Linux, Unix, macOS, and Windows) and modern networking concepts.
• Proficient in scripting languages such as Python or Bash.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Working knowledge of Kubernetes , particularly in troubleshooting, scaling, and deployment contexts.
• Strong diagnostic and debugging skills across complex distributed systems.

Soft Skills

• Exceptional problem-solving skills and a methodical, customer-first approach to issue resolution.
• Clear, concise communicator able to translate complex technical topics for non-technical audiences.
• Calm under pressure, with the ability to multitask and prioritize in high-stakes situations.
• Collaborative mindset, with a track record of building strong working relationships across functions.
• Demonstrated leadership potential, including the ability and drive to lead a team, mentor colleagues, and autonomously manage initiatives.

Bonus Points

• Experience with observability/monitoring tools such as Prometheus, Grafana, Jaeger, Loki, or similar platforms.
• Proficiency with OpenTelemetry (OTEL), configuring and troubleshooting for distributed tracing, metrics, and logging.
• Experience using Terraform to deploy infrastructure preferably in combination with CI/CD tools such as Github Actions or Jenkins.
• Hands-on experience with Kubernetes clusters, including Helm, CNI, CSI, kubectl, and k9s.
• Exposure to modern data storage and retrieval systems including SQL, NoSQL, and data warehousing technologies.

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The Startup Business Development Lead will be a key member of the Snowflake for Startups team, responsible for identifying, engaging, and growing relationships with the most strategic AI-native startups.

Key Responsibilities

• Build and grow relationships with high-priority AI-native startups, founders, venture investors, and ecosystem partners.
• Develop and execute a startup GTM strategy to accelerate adoption of Snowflake with a heavy emphasis on Snowflakes AI products.
• Serve as a trusted voice on AI-native startup trends, including model usage, data infrastructure, agentic workflows, and enterprise adoption patterns.
• Help founders understand how to build and scale AI applications with Snowflake, including Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and related platform capabilities.
• Partner with Sales, Solutions Engineering, Product, Marketing, AI Partnerships, and Snowflake Ventures to drive coordinated startup acquisition and expansion motions.
• Create repeatable programs, founder engagements, and ecosystem initiatives that increase startup pipeline, product adoption, and workload growth.
• Prioritize the startup landscape based on strategic fit, technical relevance, market momentum, and potential for long-term Snowflake consumption.
• Track business outcomes, surface market insights, and provide regular recommendations to improve strategy, coverage, and execution.

Basic Qualifications

• 8+ years of experience in business development, partnerships, startup programs, venture, GTM, cloud, AI/ML, or related fields.
• Experience working with high-growth startups, including founder engagement and cross-functional partnership execution.
• Strong understanding of the modern AI stack, including LLM-powered applications, retrieval-augmented generation, agents, model serving, and data infrastructure.
• Ability to translate technical platform capabilities into clear business value for founders, builders, and executive stakeholders.
• Demonstrated ability to develop partnership strategies, scale programs, and drive measurable business outcomes.
• Strong executive communication, relationship-building, and stakeholder management skills.
• High comfort operating in ambiguity, moving between strategy and execution, and prioritizing in a fast-changing market.
• Data-driven operating style with experience using metrics to evaluate opportunities, influence decisions, and improve execution.

Preferred Qualifications

• Experience in the AI-native startup ecosystem as a founder, operator, investor, or partner leader.
• Strong familiarity with enterprise AI application patterns such as RAG, agent orchestration, tool use, evaluation, governance, and model optimization.
• Working knowledge of the Snowflake AI stack, especially Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and AI Data Cloud adoption patterns.
• Experience helping technical startups refine enterprise positioning, GTM motions, and customer adoption strategy.

What Success Looks Like in 12 Months

• Built trusted relationships with a high-priority set of AI-native startups, key VC firms, and ecosystem partners.
• Increased startup adoption of Snowflake AI and expanded the pipeline of AI-native workloads built on Snowflake.
• Established repeatable founder engagement and ecosystem programs that generate measurable startup pipeline and consumption growth.
• Improved internal alignment across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering around the startup strategy.
• Brought clear market intelligence and actionable recommendations on where Snowflake should invest to win with AI-native startups.

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The App Runtime team is building a platform that lets every Snowflake user go from an idea to a live, deployed web application (Node.js first) in minutes. We own the end-to-end experience of building and running apps, from Cortex AI-assisted development to deployment in a secure, scalable infrastructure.

As a Staff/Principal Engineer, you will shape the product and its architecture. It’s a high leverage role - you will lead a team to scale and harden an early-stage, public-preview product. Your decisions will have a long-lasting impact on the future of Snowflake as an app platform.

Responsibilities

• Own the roadmap and technical decisions to evolve the public-preview platform into a production-grade one, adding features like horizontal scaling, cost efficiency via suspend/resume, support for stacks beyond Node.js, and stronger access and data-governance controls
• Stay deeply hands-on by authoring specs and implementing critical code across components from runtime infrastructure and the governance model to coding agents and user interfaces; lead by example
• Serve as the primary technical representative for App Runtime internally and externally
• Partner directly with customers, i.e. developers building Snowflake Apps, converting their needs to roadmap priorities
• Grow the team by setting a high engineering bar and incubating the next generation of technical leaders
• Align with adjacent teams like Container Platform, Networking, Cortex AI, Security and Snowsight on shared goals

Requirements:

• Bachelor’s degree in Computer Science, Engineering or a related field. Master’s or higher is preferred but not a requirement
• 10+ years of experience, with a demonstrated track record of architecting, shipping and operating high-scale, container-based (e.g. Kubernetes) platforms, including staff-level ownership of technical direction, cross-team delivery, and mentoring
• Proficiency in programming languages, such as Java, Python, TypeScript or Go (strong in backend and familiar with modern web stacks like Node.js), applied in distributed environments where security, reliability and performance are critical
• Exceptional communication skills: crisp write-ups, constructive debate, and ability to influence without authority across engineering and product

Nice to have:

• You led delivery of 0-1 products where you skillfully balanced the trade-offs between feature completeness and time-to-market
• You have hands-on experience designing and evolving developer-facing SDKs and APIs
• You designed multi-tenant systems (ideally app hosting platforms or tooling for developers) with strong isolation and a security-first posture
• You keep yourself and engineers around you accountable for measurable outcomes
• Your designs consider software holistically, from the hardware infrastructure to the client-side performance in the browser

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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.

The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that moves data-centric applications to Snowflake an order of magnitude faster than industry norms.

Responsibilities:

The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing components. These capabilities are then leveraged by automated AI agents that process a complete application migration to Snowflake.

• Develop the foundations that AI agents rely on for fast, consistent code conversion
• Careful API design is a must for an ever-changing landscape of AI capabilities.
• Iterating with the FDE team enables quick feedback to prototypes, early products.

Our Ideal Software Engineer Will Have:

• Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
• Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.
• Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.
• Deep understanding of distributed systems, API design, and backend architectures.
• High agency,ability to take ownership, navigate ambiguity, and independently push projects forward.

Strongly Desired:

• Experience with GoLang for high-performance backend services.
• Strong understanding of big data transformation, ETL, and ELT pipelines.
• Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools.
• Familiarity with streaming architectures, event-driven systems, and async processing.
• Experience optimizing large-scale data pipelines for performance and cost efficiency.
• Former founding engineers who have built and owned significant technical projects are highly valued.

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.

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An Account Executive on our Majors team is one of Snowflake's most senior individual contributor sales roles. Our Account Executives 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.

This role will be supporting our Financial Service division.

Responsibilities

• Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance in order to set proper expectations to ensure customer satisfaction
• Leverage knowledge of a domain or industry to align Snowflake’s value to the customers’ business and technical problems
• Immerse yourself in the ever-evolving technology and landscape while maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
• Conduct discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle to support the implementation team and produce a detailed solution proposal.
• Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, and best practices that showcase functional capabilities, competitive advantages, and business benefits of the Snowflake solutions throughout the sales cycle, from demo to proof of concept to design and implementation.
• Guides customers in digital transformation and cloud adoption, understanding where Snowflake integrates with holistic architecture and strategy.
• Provide ongoing, post-sales, technical guidance to the customer’s technical team to drive customer utilization of Snowflake and digital transformation success
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Requirements

• 10+ years of relevant experience in an enterprise sales role for a SaaS, IaaS, or PaaS company
• Experience working with FIS customers highly preferred
• Outstanding presenting skills to both technical and executive audiences
• Exceptional problem solving, organizational, decision making and presentation skills
• Ability to work in an independent, collaborative and fast paced environment
• Bachelor's degree in science, technology, engineering, math or equivalent experience preferred
• Ability to travel regionally as needed

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Snowflake's Observe business unit delivers AI-powered observability at enterprise scale, unifying logs, metrics, and traces across petabytes of telemetry data into a single, trusted, Snowflake-native platform.

As a Solutions Architect, you will be the architectural foundation of the Observe post-sales practice. You will bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation.

Responsibilities:

• Take an active role in technical discovery on SA-attached engagements, working in tandem with the Implementation Engineer to assess existing telemetry, infrastructure, data volumes, tooling landscape, and operational requirements
• Design end-to-end observability architectures on Observe, covering telemetry ingestion, pipeline topology, data modeling, enrichment and normalization strategies, alerting design, and long-term retention
• Define the implementation approach and architecture blueprint that Implementation Engineering teams execute against
• Validate that proposed configurations, pipelines, and data models will meet production-scale requirements before execution begins
• Advise customers on OpenTelemetry adoption strategies
• Have an active role in the architecture and planning phases of enterprise engagements, working in tandem with the IE from kickoff through handoff to dedicated IE team(s)
• Produce clear, high-quality handoff artifacts (e.g. reference architectures, design decision records, implementation plans, and configuration standards)
• Remain available to Implementation teams during execution for architectural blockers, scope changes, or decisions requiring architectural judgment
• Conduct formal go-live architecture reviews to validate that the implemented solution matches the designed architecture and is production-ready
• Design the target architecture and phased cutover strategy for complex migrations from existing observability platforms (e.g., Splunk, ELK, Datadog, Dynatrace, New Relic) onto Observe, minimizing disruption to production operations
• Identify architectural gaps, data quality risks, and technical debt in existing environments; design clean, scalable replacements where appropriate
• Partner with the Director of Implementation Engineering to develop and own internal reference architectures, design documents, runbooks, and implementation standards
• Build and maintain field demo infrastructure , realistic, production-grade environments that pre-sales and IE teams use to show customers what a well-architected Observe deployment looks like
• Capture reusable patterns from field engagements and translate them into assets the broader IE team can apply consistently
• Serve as a technical authority on complex or novel customer scenarios
• Act as a force multiplier for the IE team; set the technical example, structure, and tone on an engagement, and mentor and level up junior Implementation Engineers rather than taking over their work
• Contribute beyond core Observe architecture where the engagement calls for it; integration with adjacent solutions and technologies, process (re-)engineering, and AI refactoring
• Contribute field insights back to Product and Engineering to influence the platform roadmap

Requirements:

• 8+ years in customer-facing technical roles; Solutions Architect, Staff/Principal engineer, observability engineer, or SRE; with a demonstrated shift from hands-on execution to architecture-level thinking
• Deep expertise in observability platforms and telemetry systems at scale, including data modeling tradeoffs across logs, metrics, and traces
• Strong hands-on experience with OpenTelemetry: instrumentation strategies, collector configuration, exporters, and multi-signal pipeline design
• Proven ability to design or lead migrations from commercial observability platforms (Splunk, ELK, Datadog, New Relic, Dynatrace) to modern alternatives
• Experience assessing complex enterprise environments and producing architectural designs that are durable, scalable, and practical to implement
• Solid understanding of cloud platforms (AWS, GCP, Azure), containerized workloads, and Kubernetes-based environments
• Strong communication skills; credible with both hands-on engineering teams and senior technical leadership
• Experience producing high-quality technical documentation: architecture diagrams, design decision records, runbooks, implementation plans
• Exposure to AI-assisted observability or AIOps

Nice to Have:

• Background in SRE, platform engineering, or DevOps with firsthand experience operating production observability at scale
• Experience authoring internal standards, reference architectures, and enablement content for post-sales or pre-sales teams
• Experience building or maintaining demo or lab environments for internal field teams
• Familiarity with Kubernetes-native observability patterns and cloud-native monitoring tooling
• Experience working in or alongside professional services organizations
• Experience working directly with Observe.

Key Performance Indicators:

• Time-to-first-value for new Observe customers
• Customer satisfaction scores (post-engagement NPS/CSAT)
• On-time and on-scope delivery rate
• Escalation rate and time to resolution
• Observe consumption growth attributable to successful implementations

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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
• 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

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Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost.

As a Software Engineer, Enterprise for our Engineering team at Observe by Snowflake, you’ll build and scale core features, APIs, and business logic powering a high-performance observability platform. You’ll develop reliable, production-grade systems designed to handle massive volumes of telemetry for enterprise customers.

Responsibilities:

• Design, build, and own core features, APIs, and business logic powering a high-performance observability platform for enterprise customers
• Take end-to-end ownership from technical scoping and architecture through deployment, ensuring systems meet enterprise reliability and performance standards
• Collaborate with product, infrastructure, and data teams to deliver solutions that enable fast, actionable insights for engineering teams worldwide
• Partner with SREs and customer-facing teams to diagnose and resolve production issues, applying AI-assisted workflows to accelerate root-cause analysis
• Contribute to high engineering standards through thoughtful code review, mentorship, and architectural influence

Qualifications:

• 2 - 5 years of professional software engineering experience with a focus on backend application systems or distributed platforms
• Demonstrated experience designing and shipping production systems at scale, handling high throughput, low latency, and enterprise reliability requirements
• Strong proficiency in one or more server-side languages such as Go, Java, Scala, Python, or similar
• Ability to work independently and take ownership of complex technical problems from scoping through delivery, without waiting to be directed
• Experience collaborating across engineering, product, and infrastructure teams in a fast-moving, high-ownership environment
• Strong analytical thinking and structured problem-solving skills with a track record of shipping impactful, customer-facing work
• A BS/MS in Computer Science, Engineering, or equivalent experience

Bonus Points:

• Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems (e.g., OpenTelemetry, Prometheus, Jaeger)
• Experience building or contributing to AI-assisted developer tools or LLM-integrated workflows
• Background in SRE practices, incident response automation, or root-cause analysis tooling
• Open-source contributions to observability, data infrastructure, or developer productivity projects

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We are hiring a Senior Software Engineer across our Identity, Data Security and Trust organization. These teams build the security backbone of Snowflake , enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture.

Responsibilities

As a Senior Software Engineer at Snowflake, you will:

• Design and implement critical AI security capabilities , including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails , that form the foundation for secure agentic enterprise adoption
• Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users
• Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption across a natively multi-cloud environment
• Build and maintain security tooling to define, monitor, enforce, and detect policy violations across the platform; implement automation and self-service processes that increase developer autonomy and promote secure-by-default engineering
• Design and implement extensible, plug-and-play platform components that enable first-, second-, and third-party security detectors, responders, and visualizations to be built on top of Snowflake's Trust Center
• Leverage industry-accredited benchmarks (e.g., CIS) to develop standards-based security posture assessments; contribute to behavioral analytics pipelines and PII attribution capabilities that help detect, prevent, and respond to threats and abuse vectors
• Partner with engineering teams across the company to understand security pain points and deliver solutions that reduce friction without compromising safety
• Lead the design and enforcement of secure network architectures to actively defend against ransomware attacks and detect sophisticated data exfiltration attempts.
• Participate in design reviews, code reviews, and on-call rotations; hold a high bar for code quality, reliability, and sound technical decisions

Requirements

Our ideal Senior Software Engineer will have:

• 5+ years of industry experience designing, building, and operating large-scale distributed systems in production cloud environments
• Strong foundational computer science skills , data structures, algorithms, systems design, and distributed computing
• Proficiency in one or more of Java, C++, Python, Golang, or Rust, with solid SQL skills for data-driven features
• Experience shipping and on-calling production services with a focus on availability, reliability, and observability
• A collaborative, low-ego approach to engineering , comfortable iterating quickly and working across PM, design, and peer engineering teams
• BS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience

Nice to Have

Bonus points for the following:

• Knowledge of identity and access management concepts and protocols , SAML, SCIM, OAuth, OIDC, Federation, MFA, or RBAC
• Familiarity with security infrastructure domains such as secret management, key management, service identity, authentication, or authorization
• Experience with database internals, query engines, or data platform systems
• Exposure to machine learning or AI systems, particularly applied to anomaly detection, behavioral analytics, or risk classification
• Contributions to developer platforms, SDKs, or multi-tenant extensibility frameworks
• Experience deploying and operating services on Kubernetes or production cloud platforms (AWS, Azure, or GCP)

Why Join Us?

These teams sit at a rare intersection: the security, identity, infrastructure, and customer trust layers of one of the fastest-growing data platforms in the world. You won't be maintaining someone else's security layer; you'll be defining it. These are teams that value craft, curiosity, and collaboration, and that take pride in making complex security invisible to the developers and customers who depend on it. If you want a role where your technical decisions matter and your growth is tied directly to the scale of the platform you're protecting , and you're energized by the challenge of securing the agentic era before it fully arrives , this is it.

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.

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We are looking for a Solution Engineer who is accustomed to solving customers' most complex problems, closing large deals, and positioning organizations to enable Analytics and AI adoption quickly and easily. 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, product fit conversations, and support enterprise Proof of Concepts.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors, specifically focusing on how Snowflake serves as the engine for rapid AI innovation.
• Work hands-on with prospects to demonstrate the value of Snowflake throughout the sales cycle, moving them from initial interest to value driving insights and business outcomes.
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of Analytics, Generative AI, LLMs, and competitive technologies, ensuring Snowflake is positioned as the easiest path to enterprise Analytics and AI.
• Collaborate with Product and Engineering to share field insights on customer data platform and activation requirements to continuously improve our platform.

Requirements

• Proven success in positioning data solutions to enable rapid Analytics and AI adoption, showing customers a clear path from raw data to actionable analytics, AI Agents and machine learning models.
• Real world experience in one or more of these technologies: Databricks, Microsoft Fabric, Cloudera, BigQuery, Analytics Open Source projects: Spark, Trino, Cassandra, Hive, among others.
• Outstanding presenting skills to both technical and executive audiences, with the ability to translate complex data concepts into business value.
• Broad range of experience within Large-scale Database/Data Warehouse technology, ETL, and modern AI/ML frameworks.
• Hands-on expertise with SQL and SQL analytics (Python or R experience for data science is a plus).
• The ability to connect a customer's specific business problems to Snowflake's Analytics, AI and Data Cloud solutions.
• University degree in Computer Science, Engineering, Mathematics, or equivalent experience.

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The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications.

AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL:

• Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure
• Lead and drive projects from idea formulation to design, implementation and successful productionization.
• Collaborate with product managers, architects, other engineering teams, data science organizations, business groups, on end to end solutions.
• Provide strong technical leadership to the team and partner teams.
• Enable the data science organization, business groups, engineering teams to build comprehensive analytics quickly and effectively.

OUR IDEAL CANDIDATE WILL HAVE:

• 15+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development.
• Strong track record of delivering large scale and resilient distributed systems and services.
• Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP.
• Strong collaboration and communication skills.
• Experience in distributed systems and databases.
• Experience in ML is a plus.
• Strong hands-on skills. Can dive deep into the complex system design and implementation when needed.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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.

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We are hiring a Intermediate Software Engineer for our Cortex AI Applications team. This team builds the AI/ML-powered user experiences that enable enterprises to converse with their structured data and extract insights in unprecedented ways , spanning the full product lifecycle from conception through deployment. In this role, you will build scalable, responsive, and intuitive user interfaces at the intersection of AI, data, and enterprise UX.

AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

• Contribute to the technical execution and delivery of user-facing frontend features, taking ideas from design concepts to production-ready deployments.
• Write clean, performant, and maintainable TypeScript/React code while adhering to engineering best practices.
• Actively participate in frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability.
• Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust UI components.
• Monitor, maintain, and optimize the frontend platform’s responsiveness, availability, and user experience.
• Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval.
• Use AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as an integral component of your day-to-day software development workflow.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:

• 3+ years of professional experience designing and building production web applications.
• Actively use AI coding assistants in daily engineering workflows
• Strong hands-on proficiency in JavaScript/TypeScript and the modern React ecosystem.
• Solid understanding of core computer science fundamentals, including algorithms, data structures, UI design patterns, and state management.
• Proven ability to turn design mocks and product specs into production-quality code.
• Strong verbal and written communication skills for cross-functional collaboration across engineering, product, and design.
• BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent practical experience).

BONUS POINTS FOR THE FOLLOWING:

• Experience building or shipping LLM-powered applications or conversational user interfaces.
• Familiarity with major cloud environments such as AWS, Azure, or GCP.
• Prior exposure to data analytics, BI tools, or data visualization frameworks.
• Basic understanding of backend services, REST/GraphQL APIs, or systems that serve AI/ML models.

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