
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.
The Snowflake Postgres team is building a fully managed, cloud-native Postgres service that delivers the reliability, performance,
and scale developers expect that is paired with a data experience that seamlessly ties into Snowflake.
As a Senior Engineer Manager, you'll help define the architecture, push the boundaries of Postgres in the cloud, and shape one of
Snowflake's most strategic new products
a managed service (HA, upgrades, backups, scaling, automation, and operational safety).
of rapidly growing services.
performance, and security.
strong plus).
operational rigor.
boundaries.
implementation.
fundamentals and tradeoffs (consistency, performance, scaling limits, cost).
OR
fundamentals.
large-scale system maintenance, and more!
to solve at the right time, and innovate with rigor.
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. At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience. We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry. AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO: * Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics * Lead and grow a team of talented engineers in the design, development, and support of a highly-parallel and fault-tolerant SQL database system * Support engineers in their career development by providing clear feedback and developing engineering leaders * Translate product requirements into engineering work for your team * Collaborate with other local and global teams and leaders across the Engineering and Product Management organizations * Use your strong foundation as a technical leader to reliably deliver on complex projects while keeping the quality bar high * Foster a culture of creativity and innovation while also promoting practical decision-making OUR IDEAL CANDIDATE WILL HAVE: * 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services) * 5+ years of experience leading teams to build database system internals (experience leading managers is a strong plus) * Rock solid engineering fundamentals; query processing experience is highly preferred but not required * Exposure to AI, ML, or agent-driven workloads and how they consume data platforms * A track record of recruiting and leading technical teams in a demanding talent market * Proven experience authoring roadmap documents, project plans, and RCAs * Strong problem solving skills and excellent interpersonal communication skills BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: * Background in database internals or large-scale data processing systems, e.g., Hadoop, Spark, etc. * Prior experience running SQL database engineering teams * Proven experience authoring product roadmaps, preparing and reviewing project design and test plan documents, and managing projects with JIRA WHY BE A SENIOR ENGINEERING MANAGER FOR DATABASE ENGINEERING AT SNOWFLAKE? This is an excellent opportunity to: * Lead and grow an exceptional team of industry veterans and rising stars building the industry-leading data management system that customers love * Shape how the core database serves the next generation of AI and agentic workloads, a problem the whole industry is racing to solve * Take charge of your own career. This role will push you to grow, both technically and as a team leader * Learn at scale as you and your team deliver essential components of a highly distributed, robust, and secure enterprise SaaS platform that services thousands of customers and more than a billion complex queries every day 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. 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
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