Senior Corporate Counsel 1 - Intellectual Property

Corporate Counsel 2 - Product

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's Product Legal team is hiring a Corporate Counsel II to support Snowflake's AI Forward Deployed Engineering, AI Governance, Data Clean Rooms, and Native Apps product surfaces. We're looking for a thoughtful, business-minded lawyer who is energized by open-ended problems. You'll report to a Senior Corporate Counsel within Product Legal. RESPONSIBILITIES * Day-to-day product counseling for AI Governance, Data Clean Rooms, and Native Apps. Collaborate with PMs and engineers as features get scoped and built, diving deep on feature functionality, identifying what risks they introduce, and designing meaningful risk mitigations and compliance strategies. Advise on issues relating to IP, privacy, regulatory, contract architecture, and product policy, often at the same time. * Manage AI Forward Deployed Engineering engagements. Support commercial negotiations and drive cross-functional alignment with tax, accounting, finance, product, and engineering stakeholders. Comfort with novel commercial agreements matters here. * Draft and maintain customer-facing legal terms tied to new product offerings and launches. * Discover new best practices for product counseling in the AI era by reimagining how legal work can be done. REQUIREMENTS * Equivalent of 3+ years substantive post-bar legal practice, with substantive practice in one or more of the following: privacy / cybersecurity regulatory, tech transactions, AI/ML regulatory, IP (transactional or litigation), commercial litigation with technology clients, or hybrid commercial-regulatory practice. Your career arc should signal substantive curiosity and adaptability across areas — we care more about how you think and learn than about which practice group you sit in today. * Demonstrated comfort with technical product material — you should be able to read an architecture document and have a focused conversation with Engineering. * Strong judgment under ambiguity. * Clear written communication, especially translating legal positions into plain-English for sophisticated non-lawyer audiences. * Experimental mindset toward AI tooling: curiosity about emerging capabilities, willingness to test, and developed views on what works and what doesn't. AI tooling is part of how the team works day to day; that should sound like a feature of the role to you, not a hurdle. * Integrity, empathy, strategic thinking, and service orientation. * Active California bar OR active bar in another US jurisdiction with eligibility to register as in-house counsel in California. PREFERRED EXPERIENCE (one or more) * Custom enterprise deal experience, particularly technology transactions. * Active practice using AI tools (Cortex, Claude, ChatGPT, GitHub Copilot, or comparable) for legal work product. * Exposure to AI/ML product law: model licensing, data rights, AI Act and state AI laws, customer AI risk allocation. * Exposure to clean-room / multi-party data collaboration, marketplace, app distribution, or AI governance. * Substantive prior career before law school (e.g., teaching, military, government, healthcare, prior tech IC role, policy/advocacy, journalism). * Technical or quantitative academic background prior to law school. INTERVIEW PROCESS The complete interview process will include both remote and in-person interviews, as well as a structured in-office working session and reference checks. The working session will involve redlining a partnership integration agreement excerpt using AI tooling, defending the redline in a stakeholder simulation, walking through how the structure adapts when the partnership layers into a custom AI forward-deployed engineering engagement, and a brief feedback and reflection session. Working-session materials will be shared 48 hours in advance. 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

Corporate Counsel 2 - Global Customer Experience

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. This is a hybrid position with 3 days a week in office We are looking for a creative and pragmatic problem solver to serve as Corporate Counsel 2 - Global Customer Experience in a growing, world-class legal team. This Corporate Counsel 2 - Global Customer Experience role will focus on supporting the Services Delivery Team (SD) and the broader Customer Experience Team (CX) that provide specialized technical and development services and solutions on the Snowflake service to our customer base. This is an in-person role based in Menlo Park, California or Dublin, California and will report to a Director, Assistant General Counsel. AS CORPORATE COUNSEL 2 - GLOBAL CUSTOMER EXPERIENCE YOU WILL: * Work closely and partner with the Sales, SD and CX teams on transactions that drive the company’s revenue. * Structure, negotiate, and close transactional agreements. * Work closely with internal subject-matter experts on various topics that affect your area of business. * Provide sound advice and guidance on legal and business-related issues to senior business leaders. * Manage risk and ensure business and compliance needs are accurately reflected in agreements. * Work well in a fast-paced, dynamic work environment. * Respond promptly to the demands of an active technology sales team and their management. * Develop and deliver training on legal issues and contract processes. * Support continuous improvements of forms, policies and processes to help streamline, simplify and automate the contracting processes. A SUCCESSFUL CORPORATE COUNSEL 2 - GLOBAL CUSTOMER EXPERIENCE WILL: * Be able to forge strong relationships with Snowflake’s customers and cross-functional groups within Snowflake, including Sales, SD, CX, and Alliances. * Be flexible, fun, hard-working and have the desire to be impactful, as your contributions will be a key driver to Snowflake’s continued growth and success. * Outstanding analytical, drafting, negotiation, collaboration, written, and communication skills. * Exceptional and pragmatic organizational, project management, problem-solving and prioritization skills. * Flexibility and eagerness to work hard in fast-paced environment and meet tight deadlines (especially at quarter end). * The ability to think and execute both strategically and tactically. * Highly effective interpersonal skills with the ability to work with a wide variety of people, at all levels inside and outside the organization, in a fast-paced environment. * Service-oriented, responsive, professional, and strong integrity. ON DAY ONE WE WILL EXPECT YOU TO HAVE: * A minimum of 5 years of legal experience including in-house experience, preferably with a successful, high-growth enterprise SaaS company. * Law degree from an accredited U.S. law school and licensed to practice law in the U.S for a minimum of 5 years. * Strong background dealing with SaaS-centric issues (i.e. revenue recognition, tax, privacy, security, data privacy, intellectual property), professional services and various go to market programs. * Experience with supporting Statements of Work for professional services, such as drafting the terms, negotiating the terms and supporting a professional services sales 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. 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 Data Scientist

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 Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do * Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). * Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. * Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation. * Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends. * Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models. * Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers. * Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team. * What We’re Looking For * Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience. * 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling. * Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques. * Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL. * Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark). * Demonstrated ability to lead technically ambiguous projects with significant business impact. * Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders. * A track record of elevating technical standards and mentoring other scientists. 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