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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Manager - Cortex Platform - **Company:** Snowflake Inc. - **Location:** Menlo Park, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Cloud Computing, Cloud Engineering, Data Infrastructure, Programming Tools, Distributed Systems, SQL Databases, Website Wireframe, AI Infrastructure, Large Language Models, Snowflake, Data Layers, AI Platforms, Information Technology, Data Analytics, Machine Learning Operations, Restful APIs, Automation Anywhere, Api Management, Serverless Computing - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1a6447775f4b24f5 ## About the Role * Experience: 7+ years of Product Management experience, with at least 3+ years specifically building AI/ML infrastructure, LLM serving platforms, or cloud compute systems. * Systems Thinking: Deep technical comfort with LLM serving, AI infrastructure, API contracts, and distributed systems. You can decompose complex technical problems and dive deep into cloud architecture. * Cross-Org Leadership: A proven track record of leading through influence, driving alignment across global engineering and product teams, and presenting to executive leadership. * Customer Empathy: A passion for "Ease of Use." You understand the friction points AI developers face and have a relentless desire to deliver the best enterprise-grade AI platform. * Modern Prototyping Skills: Comfort using modern AI and design tools to rapidly mock up wireframes and PRDs to visualize complex AI workflows. * Educational Background: Bachelor's or Advanced degree in Computer Science, Engineering, or a related technical field. ## Description 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 AI Data Cloud is the unified platform for building, using, and sharing data, apps, and AI. At the core of our AI strategy is the Cortex LLM Platform, the high-performance infrastructure that underpins all of Snowflake's AI products, including Snowflake Intelligence, Cortex Agents, Cortex AI functions, and customer-facing REST APIs. We are seeking a Product Manager to lead the strategy and execution for the Cortex LLM Platform. In this role, you will own the foundational infrastructure that enables LLM serving at scale. You will be at the intersection of AI systems, service deployment, and data infrastructure, ensuring that Snowflake remains the smartest and most efficient cloud layer for the next generation of enterprise AI applications. This is a high-visibility opportunity to solve complex, systemic problems regarding AI model performance, inference elasticity, and cost-efficiency. You will partner with senior architects and engineering leaders to translate cutting-edge LLM technology into scalable enterprise solutions. IN THIS ROLE YOU WILL: * Define the Vision: Own the product strategy and long-term roadmap for the LLM platform layer that powers Snowflake's core AI services and third-party developer tools. * Architect for AI Scale: Partner deeply with engineering teams to innovate on AI infrastructure, focusing on high-performance services and seamless integration with Snowflake's data layer. * Drive 0-to-1 Execution: Spearhead the launch and maturation of new Cortex platform capabilities, driving the shift toward intelligent, serverless-style AI compute that reacts instantly to workload demands. * Foster Cross-Functional Alignment: Serve as the central point of influence across Snowflake's AI organization. You will synthesize technical requirements from partner teams (e.g., AI SQL, Snowflake Intelligence) into a cohesive, actionable platform plan. * Uncover Insights: Utilize data-driven governance to track key metrics such as inference performance, GPU utilization, and margins to inform the platform's next strategic bets. * Partner with Customers: Collaborate with Platform Architects at leading enterprises to validate AI infrastructure designs, gather feedback via preview programs, and solve critical scale challenges. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)