Senior Engineering Manager, Snowflake
OLTP
$264-379.5k
+ Bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$264-379.5k
+ Bonus and equity plan
3-5 days a week in office ( Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 10+ years experience in database internals, OLTP databases, or distributed storage systems
- 8+ years 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 communication and collaboration skills, with the ability to drive alignment and influence across organizational boundaries
- Strong hands-on technical ability, including navigating complex codebases and diving deep into system design and implementation
- Experience with OLTP database internals or Postgres internals
- Significant cloud experience across AWS, Azure, and/or GCP, including highly available services
- BS/MS in Computer Science or related field, or equivalent experience
What the job involves
- Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data
- We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale
- You will help define the architecture and roadmap, grow the organization, and drive technology from design through production
- 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 areas such as 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
- This is an opportunity to help define the next generation of Snowflake's OLTP database platform and expand the workloads customers can bring to the Data Cloud
- You will work on some of the hardest problems in database systems - transactions, concurrency, latency, storage, distributed systems, reliability, and cloud-scale operations - while building and developing the engineering organization needed to solve them
- You will work alongside industry veterans and emerging leaders to create database technology that combines the simplicity and operational experience Snowflake customers expect with the performance and reliability required by mission-critical transactional applications
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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