6 days ago
Base Salary
$304k - $437k/yr
Responsibilities
- Serve as the senior technical authority and architectural leader for CTOs, VPs of Engineering, chief architects, and heads of data and AI.
- Set architecture, technical strategy, and execution models across multiple high-stakes customer AI deployments.
- Own end-to-end engagement outcomes and resolve complex cross-system technical tradeoffs.
- Translate recurring customer needs and deployment learnings into product requirements and influence Snowflake product direction.
- Write production code and prototypes, review designs and code, and set the engineering quality bar.
- Define organization-level standards for evaluation, observability, reliability, security, guardrails, and responsible deployment.
- Mentor Principal, Staff, and Senior engineers and develop technical leads.
- Lead cross-functional technical initiatives across Engineering, Product, Sales, and other teams.
- Spend at least 25% of working time onsite with customers.
Requirements
- 15+ years of software engineering experience, including sustained experience building and shipping production AI/ML or agentic systems at enterprise scale.
- Proven experience serving as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises.
- Experience setting technical direction across multiple strategic accounts or enterprise programs.
- Demonstrated ability to convert field delivery patterns into reusable platforms, tools, frameworks, reference architectures, or open-source libraries adopted across teams or customers.
- Deep expertise in production AI architectures, including RAG pipelines, multi-step agentic systems, evaluation frameworks, guardrails, observability, security, and enterprise operating models.
- Hands-on technical leadership experience writing and reviewing production code and moving between executive strategy and implementation details.
- Exceptional systems thinking and technical communication skills for technical and executive audiences.
- Ability to influence without formal authority and align multiple organizations around a common technical strategy.
- Preferred experience leading cross-organizational initiatives that improve enterprise AI solution design, deployment, and adoption.
- Preferred active contributions to open-source AI frameworks, technical publications, or industry speaking engagements.
- Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms is a bonus.
Benefits
- At least 25% onsite travel to customer sites is required.
- Salary and benefits information is provided on the Snowflake Careers Site for United States roles.
Tech Stack
Snowflake
Categories
Forward Deployed
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.