Solution Engineer - Data Engineering Specialist (FSI)

AI Solutions Specialist

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is looking for an accomplished AI Deployment Specialist to lead the sales of our custom AI solutions. This is a strategic position that will involve close collaboration with the field organization, Product Sales team, Industry team, and AI Product team. The goal is to ensure successful customer adoption of Snowflake's AI and Machine Learning capabilities, achieved through custom-developed solutions that address critical and transformative business problems, delivering significant ROI. RESPONSIBILITIES : * Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list. * Execute tailored sales plays to capture market opportunities in AI/ML, helping customers optimize their use of Snowflake's AI platform. * Work directly with customers to understand their AI/ML needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements. * Become an expert in Snowflake’s Artificial Intelligence and Machine Learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s AI/ML capabilities and solutions to address clear business outcomes. * Work with our Product Sales teams, Industry Specialists, Account Executives, Sales Engineers and AI Product teams to drive customer engagements from discovery and qualification through solution implementation and deployment. * Track, analyze, and report on AI/ML sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement. * Partner with the broader cross-functional organization to integrate AI/ML sales efforts with Snowflake’s overall go-to-market plans. * Conduct in-depth discovery to understand complex business challenges and architect sophisticated agentic AI solutions to address them. * Develop and write comprehensive Statements of Work (SOWs) for custom AI/ML solutions. * Navigate complex sales cycles, from initial discovery through negotiation and closing. * Negotiate commercial terms and agreements with key stakeholders. MINIMUM QUALIFICATIONS : * 15+ years of professional experience and at least 7 of years sales experience with consistently exceeding sales objectives selling technical solutions and software products to Enterprises, Fortune 500, as well as Startups. * A strong track record of meeting or exceeding revenue targets in highly competitive markets. * A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities. * Proven ability to independently manage, develop, and close new client relationships. * Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels. * In-depth knowledge of AI/ML and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains * Strong ability to work across cross-functional teams including Field Sales, Sales Engineering, Professional Services, Marketing, and Product. * Demonstrated experience in selling business outcomes and solutions that address complex, transformative business problems. * Proven experience conducting deep discovery to understand business challenges and architecting complex agentic AI solutions. * Experience in writing and negotiating Statements of Work (SOWs) for custom solutions. * Demonstrated ability to navigate and close complex sales cycles. * Exceptional executive communication skills, capable of influencing and advising at the highest levels of customer organizations. PREFERRED QUALIFICATIONS : * Experience operating in professional services sales, solution sales, overlay sales and/or driving product consumption through workloads and use cases. * AI, Enterprise Architecture Certifications and/or Masters Degree Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Cloud Partner Solutions Engineer (Microsoft Azure)

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs. • Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans. • Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams. • Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences. Top Account Co-Sell Execution • Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources. • Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout. • Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives. • Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines. • Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live. • Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities. Cloud Partner Field Enablement • Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays. • Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks. • Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources. • Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements. • Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories. Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures • Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio. • Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem. • Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability. • Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects. • Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption. Mentorship • Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery. • Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets. EDUCATIONAL BACKGROUND * Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field. * Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions. 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. The application window is expected to be open until July 12, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Principal Security Engineer - Threat Intelligence

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake has developed a world class cloud data platform that is effective, affordable and accessible to all data users. As we continue to scale globally, we are investing in security capabilities that help us better understand, anticipate, and mitigate threats targeting Snowflake, our customers, and our ecosystem. We are looking for a Principal Security Engineer - Threat Intelligence who will help shape the next phase of Snowflake’s Threat Intelligence program and extend the reach and impact of Threat Intelligence across Snowflake. This role will combine deep intelligence expertise with strong engineering and program leadership skills, with AI and automation as core primitives in how we collect, analyze, prioritize, and operationalize intelligence. The ideal candidate will help Snowflake leadership and security stakeholders make informed, risk-based, and data-driven decisions based on actionable threat intelligence. You will identify and track threat actors targeting cloud-native environments such as Snowflake, translate intelligence into concrete defensive outcomes, and build scalable approaches that improve how intelligence is delivered across the company. This is a principal-level individual contributor role for someone who can operate strategically and technically: driving program maturity, building durable partnerships across Security and Engineering, and engineering AI-assisted workflows that help us move faster without sacrificing quality. WHAT YOU NEED: * Deep experience in threat intelligence, with strong background in several of: adversary intelligence, intrusion intelligence, supply-chain intelligence, identity intelligence, domain intelligence, and threat-informed defense. * Strong understanding of today’s threat actor ecosystem, including nation-state actors, criminal organizations, ransomware groups, fraud ecosystems, and the platforms and communities that enable them. * Demonstrated ability to operationalize threat intelligence and influence security priorities in partnership with detection, incident response, product security, cloud security, anti-abuse, and other stakeholders. * Strong engineering skills, including experience writing code in high-level languages such as Python or Go, building automations, and working with data-heavy security workflows. * Experience building or driving AI-assisted workflows for intelligence analysis, research triage, summarization, collection, prioritization, or investigative support, and good judgment about where AI adds value versus where human analysis is required. * Ability to research threat actors’ TTPs, infrastructure, targets, and objectives, and map those risks to Snowflake’s product, enterprise, and customer environment. * Experience with OSINT tools, data sources, investigative methodologies, and intelligence reporting for technical and executive audiences. * Strong understanding of threat hunting and threat detection methodologies, and the ability to turn intelligence into hunts, detection opportunities, and control recommendations. * A risk-based approach to security, with the ability to prioritize work based on business impact and evolving threat conditions. * A humble, team-oriented mindset with a bias toward collaboration, execution, and raising the bar for the broader team. WHAT YOU WILL DO: * Help define and mature the strategy for Threat Intelligence at Snowflake, including where the program should invest in people, processes, engineering, and AI-enabled capabilities. * Identify, profile, and track threat actors targeting Snowflake, our customers, partners, and ecosystem, and translate that intelligence into relevant, actionable outcomes. * Operationalize threat intelligence to help prioritize security initiatives and drive action with the relevant security teams and stakeholders. * Produce high-quality intelligence reports, assessments, briefs, and leadership-ready communications based on external events, internal requirements, and proactive research. * Engineer solutions that improve the efficiency, scale, and impact of the Threat Intelligence program, including automations, collection pipelines, enrichment workflows, and analyst tooling. * Build and improve AI-assisted intelligence workflows for tasks such as report triage, signal enrichment, summarization, vendor/customer monitoring, and threat-informed hunts, with strong measurement and quality.. * Partner closely with Threat Detection, Incident Response, and other security teams to convert intelligence into detections, threat hunts, investigative pivots, and control recommendations. * Monitor alerts, intelligence feeds, vendor reporting, and external developments for threat events that may affect Snowflake. * Drive standards for how intelligence is curated, evaluated, delivered, and measured so the program remains high-signal, timely, and scalable. * Mentor other engineers and analysts by raising the team’s technical depth, analytic rigor, and operational maturity. MINIMUM QUALIFICATIONS: * Significant experience in threat intelligence, cyber threat research, intelligence engineering, or closely related security disciplines. * Experience researching and tracking sophisticated threat actors targeting cloud-native and SaaS environments. * Experience writing code in a high-level programming language such as Python or Go and using code to automate manual workflows or analyze security data at scale. * Experience handling data programmatically using tools such as SQL and Python, ideally against large datasets relevant to security analytics or intelligence workflows. * Experience collaborating across multiple security functions and communicating effectively with technical stakeholders and leadership. * Strong understanding of enterprise security controls, threat hunting, and detection methodologies. * Experience with one or more major cloud providers (AWS, Azure, GCP) and familiarity with the risks that impact cloud and SaaS environments. PREFERRED QUALIFICATIONS: * Experience leading or materially shaping a Threat Intelligence program at scale. * Experience building AI/ML-assisted security workflows or evaluating AI systems for security use cases. * Experience with data engineering, workflow orchestration, or production-grade systems that support intelligence or security operations at scale. * Experience with Snowflake or equivalent cloud data platforms for large-scale analysis and investigative workflows. * Experience presenting externally, publishing research, or demonstrating thought leadership in the security space. * Experience building capabilities that support intelligence-driven detection, hunting, or response at a global scale. WHY YOU SHOULD WORK WITH US: * We are laser focused on doing security better, and we do not tolerate the status quo. * We have strong demand from our customers and strong support from the business for security, giving us meaningful runway to build next-generation capabilities. * We are a great team with a diverse set of backgrounds and skills, and we care deeply about impact, collaboration, and execution. * You will help solve security problems at global scale, leveraging Snowflake’s platform and modern AI capabilities to raise the bar for defenders. * The opportunity for impact on Snowflake, our customers, and the broader security ecosystem is enormous. ABOUT THE THREAT INTELLIGENCE TEAM: The Threat Intelligence team at Snowflake operates with a vision of proactively detecting threats based on risk and data-driven decisions. Our mission is to proactively identify relevant threat actors and activity through intelligence, and to translate that intelligence into capabilities and decisions that help Snowflake identify threats early and reduce risk to the business. 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. The application window is expected to be open until June 10, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com