Sr. Manager Performance and Cost, Applied Field Engineering at Snowflake

New York, New York, United States

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$222,000 – $330,700Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

8+ years in data platforms/performance engineering or field engineering
3+ years directly leading senior individual contributors (hiring, coaching, performance management)
Proven expertise in data and AI platforms, cloud computing, and cloud security, including deep understanding of cloud security frameworks
Expertise in 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 track record in cloud cost optimization (rightsizing, scaling policies, storage/compute tradeoffs, scheduler hygiene, governance and alerts) aligned with well-architected cost pillars
Hands-on experience 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 practices/assets

Responsibilities

Lead & scale a specialist practice: 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
Drive customer outcomes (performance + cost): 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
Codify best practices & DML patterns: 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
UDF/UDTF/Procedure excellence: 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
Hands-on solution showcases: 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
Field enablement & thought leadership: 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
Influence product & roadmap: 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
Partner closely with Sales, Product, and Support; act as the Voice of the Field to Engineering; set the standard for industry-grade performance engineering and cost optimization aligned with well-architected principles

Skills

FinOps

Query Optimization

Workload Design

Data Modeling

UDFs

UDTFs

Query Plans

Clustering

Concurrency

Warehouse Sizing

DML

Table Design

Semi-structured Data

Workload Orchestration

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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