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Snowflake

Runs a cloud platform for business data and AI

Senior Engineering Manager – OLTP - Oltp

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$264k - $379.5k /yrHybrid

About the Job

Requirements

  • At least 10 years of experience in database internals, OLTP databases, or distributed storage systems.
  • At least 8 years of experience leading engineering teams, including multiple teams and managers.
  • Deep experience with transactions, concurrency, consistency, replication, recovery, storage, and database performance.
  • Strong understanding of AI-assisted and agentic software development and its application across the engineering lifecycle.
  • Experience operating mission-critical systems with high standards for availability, durability, observability, operational safety, and incident response.
  • Strong hands-on technical ability, including navigating complex codebases and diving deep into system design and implementation.
  • Experience with OLTP database internals or PostgreSQL internals.
  • Significant cloud experience across AWS, Azure, and/or Google Cloud Platform, including highly available services.
  • Bachelor's or master's degree in Computer Science or a related field, or equivalent experience.

Responsibilities

  • Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans.
  • Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution.
  • Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle.
  • Drive architecture and technical decisions in transactions, concurrency control, low-latency query processing, storage, indexing, compaction, recovery, replication, and scalability.
  • Ensure operational readiness and reliability of mission-critical database services, meeting customer commitments for durability, availability, performance, and security through automation, observability, and operational safety.
  • Drive trade-offs across consistency, latency, throughput, availability, scalability, durability, security, and cost.
  • Lead major initiatives from design through implementation, launch, and production operation.
  • Partner with Engineering, Product, and cross-functional leaders to define priorities, align roadmaps, plan staffing, and coordinate execution across organizational boundaries.
  • Recruit exceptional engineers and engineering leaders, and develop existing team members into larger technical and leadership roles.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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