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Product Manager - Workload Intelligence

Snowflake

Product Manager - Workload Intelligence

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work

Comprehensive benefits

Parental leave

Generous vacation

Professional development

Parental Leave

Learning

Required Skills

SQL

Confluence

Figma

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We are looking for a Product Manager to join our core Analytics team, focusing on key features in the SQL workload optimization area. This includes work on performance observability, insights, and intelligence (e.g., AI agents). This role will have a direct impact on the day-to-day experience of data practitioners and contribute to Snowflake’s industry lead in “ease-of-optimization.”

You will be responsible for executing the product lifecycle for workload optimization features, writing detailed specifications, conducting customer research, and supporting features from concept to launch. To succeed in this role, you need to be a detail-oriented product leader who is eager to learn the problem space and work closely with engineering, design, research, and other PMs to deliver a high-quality user experience.

AS A PRODUCT MANAGER AT SNOWFLAKE YOU WILL:

  • Own key features in the "ease-of-optimization" experience, specifically in the performance observability, insights, and intelligence area, and drive product development

  • Drive product launches end-to-end, helping ensure rapid iteration and execution of your features.

  • Write clear, functional specifications and clearly define and champion workload optimization feature improvements, including supporting the development of GenAI-powered tools.

  • Continuously conduct customer research to understand their needs and identify the most impactful feature opportunities.

  • Collaborate effectively across functions and orgs, building deep trust with engineering and design partners to unblock dependencies, rally teams through setbacks, and ensure a successful launch.

  • Track usage and health metrics for your features, using data to inform decisions and investments.

  • Communicate status proactively, keeping the feature team and stakeholders aligned on progress and risks.

  • Build a solid understanding of the competitive and partner landscape for workload optimization.

OUR IDEAL PRODUCT MANAGER WILL HAVE:

  • Solid technical product management experience:

  • 2+ years of experience in product management (or similar experience)

  • A solid technical foundation on databases and analytics fundamentals

  • A bachelor's degree in Computer Science, Engineering or similar

  • Proficiency with SQL, data warehousing, and optimization concepts. You understand how data teams manage workload performance because you’ve either been a data practitioner or worked closely with them.

  • “AI-native” experience: You have experience using GenAI tools to accelerate product development.

  • Strong product sense and customer empathy. You have a strong point of view on what makes a great user experience and the ability to champion it within the team.

  • Obsession with shipping high-quality products, fast. You help the team make fast, high-quality decisions, and collaborate across teams to solve problems quickly. At the same time, you insist on excellence and have strong attention to detail.

  • Team player. You embrace Snowflake values and know how to effectively work and contribute in a team environment. You’re high on ownership, collaboration, and humility. You take setbacks in stride.

  • Strong communication: You are a clear communicator, comfortable presenting to a variety of audiences, and deft at distilling complex concepts for various audiences.

  • A passion for tackling challenging problems in a rapidly evolving company and industry.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

  • Experience with cloud data services.

  • Experience with performance observability, insights, recommendations in a data platform or database context.

  • Experience shipping an AI-enabled feature.

  • Experience working on Go-to-Market (GTM) activities for a feature.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L4

L5

L6

L7

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Product Manager IC2

0 reports

$357,500

total / year

Base

-

Stock

-

Bonus

-

$303,875

$411,125

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR