
Snowflake · CA-Menlo Park
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...
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.
projects directly align with the broader company strategy and migration goals.
post-migration validation). Weave technical constraints into product decisions, carefully balancing engineering effort,
customer value, and feasibility.
trade-offs. Keep cross-functional stakeholders updated on status with precise, succinct communication—ensuring there are "no
surprises."
pipelines. Define and ship MVPs to select customers to quickly validate core hypotheses and iterate based on real-world
feedback.
enablement pathways, and partner ecosystems (Professional Services and GSIs) to ensure your features are successfully adopted.
and make data-driven decisions that push our north star metric forward: reducing overall customer migration time.
process optimization), and participate as a key interviewer to help scale the PM organization.
full product lifecycle.
workloads) and the ability to factor technical limitations into feature design.
clarity are critical.
translation, developer co-pilots, semantic validation, or working with frameworks like LangChain).
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
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. YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU HAVE: * An understanding of Snowflake's product in order to be able to provide guidance to navigate complex technical evaluations * Drive to enable, coach, develop and motivate a robust inside sales team * Developed territories by planning strategically and effectively * 2+ years guiding Account Executives through complex legal and commercial negotiations * A customer first mindset to ensure success * Consistently executed what is forecasted to senior management * Understand how to sell business value, using a repeatable process * Coach reps on how to create urgency and deal control IN THIS ROLE YOU WILL GET TO: * Recruit and build successful sales professionals into high-performing revenue drivers for Snowflake * Build cross-functional relationships with internal and external support teams & technical partners * Influence go-to-market strategy for venture backed/high growth startups. * Develop a team culture around Snowflake Core Values * Sell an industry changing and market defining product ON DAY ONE WE WILL EXPECT YOU TO HAVE: * BA/BS required * 3+ years selling Cloud Solutions, Infrastructure Software, Databases, Analytic Tools, or Applications Software * 2+ years managing a team of sales teams * Sold to CEOs, CTOs, Heads of Product, Engineering, or Data Science * Ability to coach your team how to target and pursue an opportunity with our ideal customer profile within a complex sales cycle * Experience outperforming targets as an individual contributor in an outbound role * Ability to coach AEs how to navigate commercial and legal negotiations when working with procurement, legal, and business teams. * Ability to work with sales engineering managers and customers to inventory existing software state, define migration plans, and build business cases for migrations to drive new logo acquisition. 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
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
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 empowers enterprises and people to reach their full potential. Our culture is centered on impact, innovation, and collaboration, creating a place where you can build big, move fast, and grow your career. We’re looking for a Sr Enterprise Data & AI Architect to join a specialized team that guides our largest customers through complex data and AI transformations. Reporting to the Director of AFE Architecture, this person will: * Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud * Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML * Advise C‑level executives (e.g. CTO, CDO, VP Engineering) on strategic architecture decisions and investment choices. This role blends deep hands on technical expertise with executive presence. You should be able to design sophisticated AI/ML solutions and comfortably influence technology strategy at Fortune 500 organizations. KEY RESPONSIBILITIES STRATEGIC ARCHITECTURE LEADERSHIP * Be part of a specialized team scaling thought leadership and driving direct complex, architecture‑level customer engagements (L400/L500) across the entire Snowflake sales organization * Define and drive cloud integration strategies across major cloud providers and key ecosystem partners. * Oversee and build proofs of concept, migrations, and modernization programs, providing hands‑on technical guidance. * Create reusable assets (presentations, reference architectures, and implementation guides). AI & DATA PLATFORM ARCHITECTURE * Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications. * Guide customers in moving from legacy to cloud‑native, AI‑ready architectures. * Architect solutions leveraging Snowflake Cortex, ML capabilities, and integrations with leading AI frameworks. * Ensure secure, governed AI/ML deployments, including LLM safety, data privacy, and compliance. * Define MLOps/LLMOps and RAG/agentic patterns for training, deployment, and monitoring at scale. * Advise on build vs. buy decisions and cost models for training, inference, and managed AI services. COMPETITIVE & MARKET INSIGHT * Develop a deep understanding of competitive cloud data and AI platforms and how Snowflake differentiates. * Build competitive playbooks, battle cards, and guidance for field teams. * Partner with Product and Engineering to inform a roadmap based on customer and competitive insights. EXECUTIVE ADVISORY & ENGAGEMENT * Act as a trusted advisor to senior technology and business executives on data and AI transformation. * Lead high‑stakes customer reviews where architecture choices have major strategic and financial impact. * Represent Snowflake at industry events, executive briefings, and strategic forums. * Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis. TEAM DEVELOPMENT & OPERATIONS * Mentor, and develop a world‑class enterprise architecture practice across the broader solution engineering organizations * Drive knowledge sharing and continuous learning within the team and across Sales, Customer Success, and Product. WHAT YOU BRING * 15+ years in enterprise architecture, solutions engineering, or similar technical leadership roles, with increasing scope. * Deep hands‑on AI/ML experience, including LLMs, ML pipelines, and AI application architectures. * Expert‑level knowledge of cloud data platforms (e.g., Snowflake, Databricks, AWS, Azure, GCP) and multi‑cloud architectures. * Proven track record influencing executive‑level technology decisions at large enterprises. * Strong understanding of AI governance, data privacy, and compliance for enterprise AI. * Solid technical foundation: SQL mastery, Python/data engineering, and familiarity with the modern data stack. * Experience in competitive enterprise selling, including platform displacement or co‑existence. * Expertise in modern AI architecture patterns (MLOps/LLMOps, RAG, vector databases, agentic frameworks). * Evidence of building AI business cases and TCO models, and demonstrating measurable ROI. * Exceptional communication skills, with the ability to simplify complex concepts for executive audiences. * Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred. PREFERRED * Experience leading architecture practices at a major cloud provider or enterprise software company. * Published thought leadership in data architecture, AI/ML, or cloud transformation. * Direct experience architecting and operating production AI/ML systems at scale. * Background in professional services, consulting, or customer‑facing technical roles. 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 26, 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