Senior Product Manager - Applied AI

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

Senior Product Manager - Snowflake CoWork

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. We are hiring a Senior Product Manager for our CoWork team. Snowflake CoWork is how enterprises interact with their data through AI — instead of writing queries or navigating dashboards, business users ask questions in plain language and get answers, visualizations, and insights. We believe the most important battle in AI right now is the context layer, and Snowflake is positioned to win it. This is a hands-on, 0→1 building role on a small, high-velocity team: you'll own how people actually reach and use CoWork — in Slack, Microsoft Teams, and on mobile — surfaces that are largely unbuilt today. There's no playbook for what "CoWork in Slack" should be; figuring that out and driving it forward with engineering is the job. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: * Build new product surfaces from scratch — define and ship what CoWork should be in Slack, Teams, and on mobile/iOS. These are blank-page problems where you bring the thinking, strategy, and execution to invent experiences no one has built yet. * Go deep technically — reason through how each surface ties into the complex matrix of user roles, privileges, data access, and agents. Partner closely with engineering and get into the architecture, not from the sidelines. * Drive execution in ambiguity — operate without a defined playbook, hold together the many moving parts of an early-stage product, make calls, and push things forward. * Expand enterprise adoption — help take CoWork from a small cohort of power users inside the world's biggest companies to the rest of their organizations, using these new surfaces as the avenue. * Partner cross-functionally — work shoulder-to-shoulder with engineering, design, and product leadership to ship integrated experiences and influence the roadmap. * Engage directly with customers — understand how real business users work and translate that understanding into product, building genuine credibility with the people you're building for. OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE: * 5+ years of product management experience, or equivalent experience in engineering, data, or a related technical field * A track record of building with AI, not just consuming it — has taken a real problem and shipped a system to solve it (personal projects count as much as professional ones, e.g. a system that triages bugs and maps them to conversation volume, or a workflow that preps for meetings by running notes against a model) * Technical depth — can reason about systems, APIs, and agents and hold their own in architecture discussions * An entrepreneurial mindset and comfort with ambiguity — structures messy problems and has a strong bias to action * Strong product sense — knows what makes software good, when to cut scope, and how to drive decisions * A fast-learning orientation — has ramped quickly on unfamiliar domains and turned that into real output * A Bachelor's degree in Computer Science, a technical/analytical field, or equivalent practical experience BONUS POINTS FOR THE FOLLOWING: * An engineering or deeply technical background — you can read and reason about code and systems * Side projects or independently built tools that solve real problems with AI * Experience building agentic or LLM-powered products * A trusted referral from someone we know and respect WHY JOIN OUR COWORK TEAM AT SNOWFLAKE? CoWork brings Snowflake to every employee in an organization — not just data teams. You'll join a small, high-velocity team at the frontier of how enterprises put AI to work, owning surfaces that don't exist yet and shaping what they become. We index on raw talent and learning velocity over years of experience or a specific résumé — direct experience in our exact problem space is not required. If you thrive on blank-page problems and want to define a category rather than optimize an existing one, this is the seat. How do you want to make your impact? 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

Senior Product Manager, Observe by Snowflake

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. 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 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. ABOUT THE ROLE As a Senior Product Manager at Observe by Snowflake you will lead a cross-functional team to define and execute the product roadmap across core product areas -- Logs, Metrics, Traces, Data Management, AI and more. You will set strategy grounded in deep customer empathy, drive prioritization across competing enterprise demands, and shape a product processing thousands of TB/day of telemetry. This is a high visibility role where you will interact with internal and external stakeholders regularly and have the ability to shape the product’s direction RESPONSIBILITIES * Define and own the product roadmap for one or more areas; set strategy, prioritize ruthlessly, and deliver against adoption, migration, and cost-efficiency goals * Lead enterprise customer discovery to translate observability pain points into product requirements and drive product adoption * Partner with engineering, GTM, and Snowflake platform teams to execute quarterly plans and align on integration opportunities (Cortex AI, Iceberg, Snowflake Intelligence) * Represent product in high stakes situations to customers, partners, and leadership through crisp PRDs, specs, and strategy presentations * Drive 0-to-1 & 1-to-N Initiatives: Identify emerging patterns and turn them into scalable, GA-ready product offerings. REQUIREMENTS * 6+ years of PM experience, with 3+ years on infrastructure, developer tools, or observability platforms * Deep familiarity with observability concepts (logs, metrics, traces, APM, alerts) and cloud-native architectures * Technical fluency in distributed systems, streaming ingest, and open standards (OpenTelemetry, Iceberg) * Proven track record shipping in competitive enterprise markets and displacing incumbents * Strong communicator who can align cross-functional teams and navigate the complexity of an acquisition integration * Familiarity with AI/ML and agentic workflows; can demonstrate use of AI tools in their day-to-day BONUS POINTS * Experience with or strong opinions on AI SRE, AIOps, or agentic observability workflows * Exposure to modern data ingestion, storage and retrieval systems including Kafka, SQL, NoSQL, and data warehousing technologies. * Familiarity with the OpenTelemetry ecosystem and open-source community dynamics 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