Senior Manager of Performance & Cost, Snowflake
Applied Field Engineering
$195-278.2k
+ Bonus and equity plan
3-5 days a week in office
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
$195-278.2k
+ Bonus and equity plan
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- The role requires a passion for developing people, a hands-on understanding of data and AI performance, and the ability to deliver cloud economics at scale
- Experience: 8+ years in data platforms/performance engineering or field engineering; 3+ years directly leading senior ICs (hiring, coaching, performance)
- Technical Expertise: Proven expertise in data and AI platforms, cloud computing, and cloud security. This includes a deep understanding of cloud security frameworks, performance optimization, and cloud cost management
- Deep expertise in: SQL/DML optimization, workload orchestration, concurrency management, warehouse sizing/queues, table design & clustering, semi-structured data (JSON/VARIANT), materialized views, and query plan analysis
- Proven cloud cost optimization track record (rightsizing, scaling policies, storage/compute tradeoffs, scheduler hygiene, governance and alerts) aligned with well-architected cost pillars
- Hands-on with UDF/UDTF/Stored Procedure design and performance considerations (JavaScript & SQL), including predicate pushdown strategies and serialization/mutex patterns
- Ability to turn hard problems into repeatable assets: runbooks, checklists, scripts, notebooks, and field-ready showcases (demos, AI agents, videos)
- Executive communication skills: whiteboarding with engineers one hour, C-suite value narrative the next
- Nice to have: external cloud architect certifications or equivalent expertisex` including SnowPro Cert and experience with Database performance tuning
- Leadership and Communication: Exceptional presentation and communication skills, with the ability to lead and motivate a highly technical team while also engaging with senior leadership
- Educational Background: A university degree in computer science, engineering, or a related field, or equivalent experience. Snowflake experience is strongly preferred
What the job involves
- As Senior Manager, Performance & Cost (Applied Field Engineering), you will lead a team of specialized engineers focused on solving Snowflake’s most complex customer challenges in performance, scale, and cost efficiency
- This is a high-impact leadership role where you’ll build and grow a world-class team that serves as a core technical resource for our most strategic enterprise clients
- Snowflake’s Performance & Cost team helps customers run faster, cheaper, and safer on the AI Data Cloud. We address the hardest field problems—query performance, workload design, FinOps, data modeling, and extensibility (UDFs/UDTFs/Procedures)—and turn them into repeatable practices, assets, and showcases for the field and our customers
- In this role, you will partner closely with Sales, Product, and Support, act as the Voice of the Field to Engineering, and set the standard for industry-grade performance engineering and cost optimization, aligned with well-architected principles across the market
- Build, coach, and grow a high-performing team of senior performance engineers and architects
- Set operational rhythms and KPIs to measure runtime improvements, cost savings, and asset adoption
- Understand concepts on diagnosing complex workloads (query plans, clustering, concurrency, warehouse sizing) and deliver measurable performance/cost improvements
- Establish FinOps guardrails and workload patterns that optimize efficiency and align to customer SLAs
- Create prescriptive guidance for DML, table design, semi-structured data, and workload orchestration
- Turn advanced patterns into repeatable assets that scale across customers and the field
- Define best practices for SQL/JavaScript UDFs, UDTFs, and procedures to maximize performance and extensibility
- Govern safe, scalable usage and publish guidance for field and customer adoption
- Build and scale demos, reference apps, videos, and AI agentic experiences that make performance and cost outcomes tangible
- Package showcases for field reuse and customer workshops to accelerate adoption
- Lead performance and cost workshops, bootcamps, and design-thinking sessions with customers and partners
- Publish reference architectures, playbooks, and checklists that embed best practices in the field
- Represent the Voice of the Field to Product and Engineering, prioritizing features that impact performance and cost
- Validate new capabilities with benchmarks, canary testing, and real-world case studies
- Our Sales Engineers are customer-obsessed and we believe in the value we can add. We love to learn, are open to giving and receiving feedback, and are passionate about making our clients successful
- Our team works to ensure data is accessible, usable, and valuable to everyone
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
LATE VC
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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