CA-Menlo Park•Posted: Apr 29•Deadline: Aug 17
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 of production issue 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.
We are hiring a Software Engineer, AI Products for our AI Platform team at Observe by Snowflake. As an AI Product engineer you'll
always be thinking first about the user experience and how to create the best product, technical choices, and implementation
decisions that stem from that product first thinking. This team builds the AI-powered products and developer tooling at the core
of Observe's platform, including our flagship AI SRE product, real-time Slack integrations, CLI tooling, evaluation pipelines, and
Model Context Protocol (MCP) capabilities. You will work on highly visible, customer-facing AI products as well as internal
tooling that directly impacts how the broader engineering team operates.
IN THIS ROLE YOU WILL:
* Own features end-to-end across the full stack, from API design and backend logic through to the front-end experience, shipping
customer-facing AI products with speed and quality
* Build and evolve the AI SRE product, Observe's flagship tool that helps engineering teams resolve production issues up to 10x
faster through AI-powered signal correlation
* Develop the AI SRE Slack integration, creating real-time surfaces that let users interact with the AI SRE agent directly within
their existing workflows
* Build developer-facing CLI tooling, the APIs that power it, and evaluation pipelines that ensure model and system quality
* Expand Observe's Model Context Protocol (MCP) integrations, extending the capabilities and reach of our agentic AI systems
* Design and consume RESTful APIs with confidence, working both as a producer and a consumer across a fast-moving, interconnected
codebase
* Collaborate closely with product and design to ensure every feature is as thoughtful in user experience as it is in
implementation
QUALIFICATIONS
* Strong proficiency in TypeScript, this is a core requirement for the role
* Demonstrated experience building full-stack web applications, with comfort across backend logic, API design, and frontend
surfaces
* Experience with server-side Node.js frameworks such as Express.js, Hono, or similar
* Experience building or working with agentic AI systems and tool-use patterns, using SDKs such as the Vercel AI SDK, Anthropic
Agent SDK, LangGraph, or Tanstack AI SDK
* Experience implementing MCP (Model Context Protocol) servers over HTTP
* Experience building agent-first CLI systems using Node.js or Bun
* A product mindset, you care as much about the user experience as the implementation details
* The ability to move quickly in a fast-moving codebase without sacrificing quality or maintainability
* A BS/MS in Computer Science, Engineering, or equivalent experience
BONUS POINTS:
* Hands-on experience with LLMs, agents, and evaluation (evals) pipelines in production environments
* Experience with Bun as a runtime
* Prior work on developer tooling, internal platforms, or productivity infrastructure that directly shaped how an engineering
team operates
* Contributions to open-source AI, tooling, or observability projects
* Familiarity with Observe's platform or the broader observability ecosystem (logs, metrics, traces, APM)
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
CA-Menlo Park•Posted: Apr 17•Deadline: Aug 17
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 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.
As a Senior Product Designer, you'll own the experience for some of the most high-stakes, technically complex workflows in
enterprise software. The kind where your design decisions directly affect whether an incident takes 15 minutes or 3 hours to
resolve. Your users are SREs and platform engineers debugging critical failures at 2am. The work lives at the intersection of
agentic AI, real-time data, and deeply technical user needs.
This isn't a specs-execution role. You'll partner as a peer with product and engineering, shape design culture on a team being
built from scratch, and help define what world-class observability UX looks like.
RESPONSIBILITIES
* Own end-to-end design for one or more Observe surfaces: AI SRE, APM, Metrics, Log/Trace Explorers, dashboards, or onboarding
* Define interaction models for complex observability workflows; incident investigation, root cause analysis, service maps, and
AI-assisted troubleshooting
* Prototype early and often using AI-enabled tools to validate ideas quickly and iterate with engineering
* Partner with PM and engineering as a peer in shaping product direction, not just executing on specs
* Contribute to and evolve Observe's design system and shared interaction patterns
* Present work clearly to cross-functional stakeholders and incorporate feedback without losing design integrity
* Help raise the bar for product design
* Keep abreast of competitor products and trends; perform competitive and comparative analysis to understand existing patterns
REQUIREMENTS
* 5+ years of product design experience working on complex, data-heavy or developer-facing products
* A strong eye for design, with deep care for layout, motion, affordances, and visual polish
* A design portfolio that showcases your ability to design software that is beautiful, powerful, and intuitive
* Comfort designing for technical users and engaging with engineers on implementation tradeoffs
* Experience with AI-native surfaces: chat interfaces, agent-driven workflows, or explainability and trust patterns
* A prototype-first mindset; you'd rather show it than describe it
* Strong communication skills and the ability to articulate design decisions to PMs, engineers, and leadership
BONUS POINTS
* Background in or deep familiarity with observability, monitoring, or incident response workflows
* Experience designing CLI-adjacent or developer tooling surfaces
* Familiarity with Observability tools
* Prior experience at a startup or acquisition-stage product team
* You have a deep desire to make things feel good, look awesome, and work great!
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
CA-Menlo Park•Posted: May 7•Deadline: Aug 17
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 of production issue 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.
IN THIS ROLE YOU WILL:
* Lead the backend architecture and delivery of the Logs product area by owning the full lifecycle from API design through
production reliability, with a strong sense of what makes a great end-user experience.
* Drive technical direction for log ingestion, storage, querying, and enrichment pipelines capable of handling hundreds of
terabytes of telemetry daily.
* Build for both humans and AI agents — design APIs and workflows that work equally well for UI users and programmatic access by
AI coding agents like Claude Code and Cursor.
* Partner deeply with PMs, Frontend, and Design to shape the product roadmap, translate user needs into sound technical designs,
and identify backend capabilities that unlock high-value product experiences.
* Champion product thinking on the engineering team — bring clarity to trade-offs, flag gaps in requirements, and proactively
surface opportunities to simplify or improve the product.
* Set the technical bar through code reviews, architecture reviews, and mentorship, establishing patterns that scale across the
broader backend organization.
* Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate
delivery.
QUALIFICATIONS:
* 7+ years of industry experience building and maintaining high-scale backend systems in production.
* Strong proficiency in Go, Java, or a comparable systems-oriented language; comfort working across the stack when needed.
* Deep experience designing and operating distributed systems — familiarity with streaming pipelines, columnar storage, or
log/event processing is a strong plus.
* Demonstrated product acumen: you can read a PRD critically, push back on requirements that don't serve users, and propose
simpler solutions without sacrificing outcomes.
* Track record of leading end-to-end feature delivery in close partnership with cross-functional teams (PM, Design, Frontend).
* Strong written and verbal communication — you can explain technical decisions to non-engineers and influence roadmap priorities
with data and reasoning.
BONUS POINTS:
* Experience building observability or log management systems (e.g., Splunk, Datadog, Elastic, Loki, OpenTelemetry).
* Experience operating data lakehouses under high performance and high scale.
* Experience with query DSLs, CEL, or similar expression evaluation frameworks.
* Prior experience in a tech lead or staff engineer capacity on a product-focused team.
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
