Manager, GTM Applications Engineering

Senior Product Manager - AI Migrations

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. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications. We're seeking a structured, technically grounded Senior Product Manager to own several key features and capabilities within this charter. You will bring product insight and clear execution to our GenAI-powered engine, ensuring your projects directly align with Snowflake's higher-level growth goals. AS A SENIOR PRODUCT MANAGER, YOU WILL : * Own Feature Direction & Alignment: Provide clarity, conviction, and insight for your owned features. Ensure your roadmap and projects directly align with the broader company strategy and migration goals. * Balance Technical Constraints: Deeply understand customer migration needs (such as data types, ETL pipelines, and post-migration validation). Weave technical constraints into product decisions, carefully balancing engineering effort, customer value, and feasibility. * Execute with Transparency: Help your engineering team prioritize effectively, explaining the clear rationale behind technical trade-offs. Keep cross-functional stakeholders updated on status with precise, succinct communication—ensuring there are "no surprises." * Drive with an MVP Mindset: Partner with engineering to foster a high-velocity culture focused on speed and unblocking customer pipelines. Define and ship MVPs to select customers to quickly validate core hypotheses and iterate based on real-world feedback. * Understand GTM & Enablement: Learn how your migration features are taken to market. Understand the required collateral, enablement pathways, and partner ecosystems (Professional Services and GSIs) to ensure your features are successfully adopted. * Analyze Metrics & Insights: Track usage and health metrics for your features. Conduct regular data analysis to deliver insights and make data-driven decisions that push our north star metric forward: reducing overall customer migration time. * Contribute to the Team Culture: Act as a mentor to other employees, step up to help solve team-wide issues (such as quality or process optimization), and participate as a key interviewer to help scale the PM organization. OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE : * 6+ years of enterprise product management experience, with a proven track record of independently running features through the full product lifecycle. * Solid technical foundation: Strong familiarity with data ecosystems (databases, SQL platforms, data engineering, and ETL workloads) and the ability to factor technical limitations into feature design. * Developer/Partner focus: Experience building or working with developer tools, APIs, or data platforms where user ergonomics and clarity are critical. * GenAI / LLM familiarity: Practical exposure to or strong understanding of delivering AI-powered features (e.g., code translation, developer co-pilots, semantic validation, or working with frameworks like LangChain). * Strong collaboration skills: Ability to build relationships across functions (Engineering, Professional Services, Partners) and leverage direct and indirect influence without shutting others out. Joining the Migrations product team at Snowflake offers an exceptional opportunity to be at the forefront of data and application modernization, directly impacting customer success by enabling the strategic leveraging of the Snowflake AI Data Cloud. You'll tackle complex, high-value challenges, building essential products and APIs that simplify intricate data ecosystem migrations—from ETL pipelines to applications—for our customers and partners. Your contributions will directly accelerate the adoption of Snowflake, driving significant value and cementing our customers' investment in a modern, AI-ready future. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior AI Engineer, Enterprise

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: * Design and build scalable backend services and distributed systems that power production AI and agentic applications. * Develop APIs, orchestration services, and platform capabilities for internal AI products. * Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries. * Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements. * Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency. * Leverage Snowflake Cortex, Snowpark, and the broader Snowflake AI ecosystem to build intelligent data applications. * Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems. * Collaborate closely with product managers, data engineers, designers, and GTM stakeholders to deliver high-impact AI solutions. * Stay current with advances in AI engineering and help drive adoption of modern technologies, frameworks, and development practices across the team. WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: REQUIRED QUALIFICATIONS * 5+ years of professional software engineering experience with a Bachelor's degree (or higher) in Computer Science, Software Engineering, or a related technical field. * Strong proficiency in Python (3.11+) with experience writing production-quality, well-tested, maintainable code using modern Python practices. * Experience building RESTful APIs and backend services using FastAPI or similar frameworks. * Experience designing and operating distributed systems and microservice architectures. * Strong understanding of software engineering best practices, including testing, CI/CD, code quality, observability, and production operations. * Experience with containerization technologies such as Docker. * Hands-on experience building production AI applications using large language models. * Experience with prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks. * Strong problem-solving skills, excellent communication, and the ability to work effectively in a fast-paced, collaborative environment. PREFERRED QUALIFICATIONS * Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI. * Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks. * Experience with AI evaluation, monitoring, guardrails, and observability frameworks. * Familiarity with model serving, inference optimization, and AI infrastructure. * Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows. * Experience building full-stack AI applications using Streamlit, React, or similar frameworks. * Experience with Python data libraries such as pandas and NumPy. * Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments. * Experience working with cloud-native infrastructure and Kubernetes is a plus. WHY JOIN OUR TEAM? Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization. This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally. If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Director, DCP and Partner Marketing Programs

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 MISSION Snowflake’s partner ecosystem stands as a formidable growth engine, uniquely positioned at the forefront of the data and AI revolution. Today, thousands of world-class partners are already thriving as they build, co-sell, and innovate within the Snowflake AI Data Cloud. This vibrant community presents a massive opportunity to amplify our collective success. By evolving toward a unified, high-octane marketing engine and sharpening our collaborative storytelling, we can more effectively showcase the distinct competitive advantages that make Snowflake the winning choice for enterprises worldwide. As Director of Partner Marketing Programs, you will build the system that activates our global partner ecosystem at scale — while shaping the strategic narratives that position Snowflake and its partners as the default choice in the AI data economy. You will operate at two levels simultaneously: * System builder: architecting repeatable, global partner marketing programs * Storyteller: crafting high-impact joint narratives with our most strategic Data Cloud partners WHY THIS ROLE MATTERS The next phase of competition in data + AI will not be won by individual products — it will be won by ecosystems. Snowflake is uniquely positioned with: * A rapidly expanding Marketplace * Deep partnerships across ISVs, data providers, SIs, and hyperscalers * A growing set of AI-native workloads and applications But winning requires: * Clear, differentiated partner value propositions * Scalable co-marketing engines tied to revenue * Strong product + partner narrative integration You will define how this comes together. WHAT YOU’LL OWN 1. BUILD THE GLOBAL PARTNER MARKETING ENGINE * Own and evolve Snowflake’s partner marketing programs (including Partner Activate) * Design a scalable co-marketing framework across partner tiers with clear ROI expectations * Define how partners engage across launches, campaigns, and lifecycle marketing * Create repeatable motions that drive: * Partner-sourced pipeline * Partner-influenced revenue * Marketplace engagement and transactions 2. LEAD DATA CLOUD PRODUCT PARTNER MARKETING * Own co-marketing strategy for Snowflake’s Data Cloud product ecosystem (ISVs & data providers) * Define joint positioning and solution narratives that clearly articulate how partners extend the AI Data Cloud * Build and scale Marketplace-first marketing motions to drive preference and consumption * Partner with top-tier ISVs (e.g., Dataiku, Hex, Blue Yonder) to create flagship joint GTM stories 3. DEFINE PARTNER GTM FOR PRODUCT LAUNCHES * Build the partner motion for major product and platform launches * Ensure partners are activated early with clear messaging, content, and campaigns * Translate product innovation into ecosystem-driven growth 4. DRIVE CROSS-FUNCTIONAL ALIGNMENT * Partner deeply with: * Product Marketing * Demand Generation * Field Marketing * Alliances & Business Development * Ensure partner narratives are embedded in integrated campaigns, not treated as an afterthought * Align partner strategy with Snowflake Partner Network (SPN) tiers and revenue goals 5. LEAD AND SCALE THE TEAM * Lead a team of Partner Marketing Managers * Elevate the team from program execution to strategic GTM leadership * Build a culture of accountability, measurement, and high-impact storytelling WHAT YOU BRING EXPERIENCE * 15+ years in B2B technology marketing * 5+ years in partner marketing, alliances GTM, or ecosystem marketing * Experience operating at scale in complex, multi-product organizations STRATEGIC STRENGTHS * Ecosystem storytelling: Ability to translate technical integrations into compelling joint value propositions * Program architecture: Experience building scalable marketing systems tied to pipeline and revenue * Marketplace & platform thinking: Understanding of two-sided ecosystems and partner incentives ANALYTICAL RIGOR * Strong experience with attribution models across multi-touch, multi-partner sales cycles * Proven ability to connect marketing programs to pipeline and revenue outcomes LEADERSHIP * Track record of leading high-performing teams * Strong cross-functional influence across Product, Sales, and Partnerships * Executive presence with both internal stakeholders and external partners OUTCOMES IN THE FIRST 18 MONTHS * A clear, scalable global co-marketing framework is in place and adopted * Snowflake Marketplace sees measurable growth driven by partner marketing * Top strategic partners have flagship joint narratives and campaigns in market * Internal teams consistently integrate partner messaging into core GTM motions WHY JOIN SNOWFLAKE * Define how one of the world’s leading data platforms wins through its ecosystem * Operate at the center of AI, data, and applications convergence * Shape the go-to-market model for a category that is still being written * Work with a high-caliber team where partner marketing has a true seat at the table THE OPPORTUNITY This is not a traditional partner marketing role. You are building the system and the story that will determine how Snowflake — and its ecosystem — wins the next era of data and AI. If you are excited about operating at that level of impact, we should talk. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com