
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.
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:
analytics
database system
projects with JIRA
WHY BE A SENIOR ENGINEERING MANAGER FOR DATABASE ENGINEERING AT SNOWFLAKE?
that customers love
solve
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. Snowflake is building the world's best AI data platform — and Interactive Analytics is one of our foundational bets in that vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly integrated into the Snowflake data platform. Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and real-time data applications that the world's most demanding data organizations depend on. As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data analytics industry — and then you'll build it. This role sits at the intersection of deep database technology and high-stakes product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: * Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry * Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advocates * Shape Snowflake's positioning and go-to-market — collaborating with sales, marketing, and developer relations to drive awareness, adoption, and revenue growth * Partner with a large engineering team to translate customer pain and competitive intelligence into technically sound, compelling product decisions. * Define how Snowflake Interactive Analytics powers the emerging world of AI agents and agentic workloads, positioning it as the native low-latency data tier for the next generation of AI applications * Use AI tools daily to prototype, spec, and analyze — moving at a pace that gives Snowflake a compounding advantage OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE: * 4+ years of product management experience on database and/or analytics products * Deep technical fluency in database engines — enough to sit with a principal engineer or a demanding customer DBA, understand their workload in detail, identify root causes, and propose meaningful solutions * Hands-on experience with high-concurrency low-latency data products — ideally in BI or streaming analytics (ClickHouse, Apache Pinot, Materialize, Rockset, SingleStore, or similar); OLTP experience is also valued * Strong product instincts and a proven track record of holding a high bar on technical products * Demonstrated ability to influence without authority — you can make the case for bold product changes to skeptical principal engineers, cross-functional partners, and senior executives * Comfort with ambiguity and zero-to-one conditions — the path isn't defined, and that's what makes it interesting to you * Ability and bias to use AI tools to accelerate your work — from prototyping and analysis to spec writing and customer research 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’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. * Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day * Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: * Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making. * Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails. * Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work. * Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features. * Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas. * Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project. * Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work QUALIFICATIONS: * Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field * 10+ years experience as a Data Scientist * 5+ years of experience in building, managing, and leading a high-performing data science team * Experience in using data science to optimize the user experience. * Expert in SQL and Python. * Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows. * Advanced knowledge/experience in machine learning and Large Language Models (LLMs), including the ability to critically evaluate and validate AI/ML outputs (e.g., using AI evaluation methods and understanding the limitations of AI Functions). * Ability to communicate and influence complex ideas to cross-functional stakeholders. 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. ABOUT THE ROLE Snowflake’s mission is to mobilize the world’s data as the AI Data Cloud. Our AI & Developer products including CoCo for builders, CoWork for knowledge workers and well our developer tools like Notebooks, Streamlit, and App Runtime are how we put that mission into the daily workflows of developers and data teams. We're looking for a senior Developer Relations leader to own how builders discover, adopt, and succeed with Snowflake's AI and Developer portfolio, and to build and lead a team of Developer Advocates doing that work. You'll set the developer point of view for an ambiguous, fast-moving product area, manage and grow a team of DAs, and stay technical enough to set the quality bar yourself. WHAT YOU'LL DO Own the developer strategy for AI & Developer tools * Shape the developer point of view for complex, emerging product areas; anticipate where builders get stuck and align on the adoption path. * Connect market shifts, developer behavior, customer demand, and Snowflake strategy to influence product direction. * Maintain full awareness of the AI and Developer landscape and be the voice of the developer internally. Set the technical and quality bar * Personally produce and review production-quality adoption assets reference apps, quickstarts, demos, deep-dive guides, talks that withstand customer, field, and launch scrutiny. * Establish reusable patterns and review systems that raise content quality and accuracy across the team. Drive launches and reusable adoption systems * Lead multi-team launch adoption motions for priority AI & Developer products: define day-0 builder readiness, success metrics, dependencies, and follow-on adoption work. * Build durable adoption infrastructure such as repos, quickstarts, demos, workshops, field kits, docs patterns, playbooks, and discoverability across human channels, docs, search, AI assistants, community, and partners so wins compound instead of resetting each launch. Close the loop between developers and product * Run durable developer-signal loops that synthesize community, field, support, docs, usage data, and launch learnings into product feedback. * Build developer signals as a first-class product input that changes the roadmap and adoption priorities. Represent Snowflake in the ecosystem * Build and sustain Snowflake's credibility in strategic developer and open-source communities as a community member. * Enable your team and Snowflake engineers to participate credibly in these communities. Lead and grow the team * Create clarity in ambiguity, define the work, surface tradeoffs, and make cross-functional execution easier across Product, Engineering, Marketing, Community and various field teams. * Set clear goals and operating rhythms; balance hands-on contribution with enabling your team to do their best work. * Manage, coach, and develop a team of Developer Advocates; own hiring, performance, growth, and career development against the DevRel ladder. WHAT YOU'LL BRING * 10+ years of experience in Developer Relations, Developer Advocacy, Developer Experience, or a closely related technical field, with a track record of driving measurable developer adoption. * 5+ years of leadership experience managing, mentoring, or formally leading technical/DevRel teams, with the judgment to hire and grow advocates. * Strong hands-on technical foundation: you can build and debug real demos and explain architecture tradeoffs to both builders and internal partners. * Working fluency with modern AI development: how LLMs work (prompting, grounding, evaluation), common patterns (RAG, tools/agents, function calling), and hands-on experience building with LLM APIs or agent frameworks (e.g., Snowflake Cortex, OpenAI, Anthropic, OSS models). * Solid grounding in data and analytics workflows (SQL, ELT/ETL, dbt, orchestration) and empathy for the day-to-day realities of data and engineering teams. * Excellent communication and storytelling able to turn complex AI and data concepts into clear narratives for technical and executive audiences. * Demonstrated cross-functional leadership: influencing senior stakeholders across Product, Engineering, Field, and Marketing, and turning ambiguous work into executable plans. * Comfort defining outcome-based metrics and using data plus qualitative signals to prioritize, iterate, and decide what to stop doing. NICE TO HAVE * Experience with Snowflake or other cloud data platforms. * Familiarity with the Snowflake developer ecosystem, such as Notebooks, Streamlit, Cortex Agents, CoCo, CoWork etc. * Recognized community standing committer/maintainer role, foundation/governance participation, or a sustained presence in strategic developer communities. * A history of building reusable adoption systems (reference architectures, diagnostic tools, workshop programs) and communities * Prior experience as a software, data, or ML/AI engineer. WHY JOIN * Shape how AI agents change the way data and engineering teams build, at a strategic inflection point for Snowflake. * High visibility: your team's work shows up in key narratives with top customers and senior leadership. * Build and lead a team in a greenfield, high-impact area with real ownership from day one. * Be part of a culture that values thoughtful craftsmanship, velocity, and customer obsession. Our Human Resources Department may use artificial intelligence to support its administrative processes. This role is available and may represent a new position. This role is exempt from Ontario’s job posting requirements. 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