Senior Product Manager - Workload Intelligence at Snowflake

Menlo Park, California, United States

Apply Now

$200,000 – $262,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Analytics, Cloud ComputingIndustries

Requirements

7+ years of experience in product management
5+ years of experience with data analytics, databases, or distributed systems
Strong understanding of the AI data platform landscape
Bachelor's degree in Computer Science, Engineering, or similar
Demonstrable “AI-native” product management experience: proven track record of shipping successful AI-enabled features and using GenAI tools to accelerate product development
High-judgment product design skills: strong point of view on great user experience and ability to guide the team toward it
"Shipping" obsession with bias for action: make fast, high-quality decisions and collaborate across teams to solve problems quickly
High ownership and resilience, low ego: own outcomes, seek critical feedback, galvanize team, disagree and commit
Expert ability to lead through ambiguity and debate: challenge assumptions, make the muddy clear
Excellent “championing” skills: align cross-org teams around vision and win resources
Passion for tackling challenging problems in a rapidly evolving company and industry
Bonus Points
Prior experience working on SQL workload optimization and cloud data warehouses (as customer, partner, integrator)
Experience with data services in public clouds (AWS, Azure, GCP)

Responsibilities

Be the single-threaded owner for the end-to-end product lifecycle: define vision, strategy, roadmap, and ensure rapid, on-time, meticulous execution across dependencies
Define and execute the roadmap for new workload optimization experiences, including agentic GenAI-powered tools
Own the "ease-of-optimization" experience, partnering closely with design and engineering for elegant, easy-to-use solutions
Conduct continuous customer and competitive research to identify, validate, and prioritize impactful opportunities
Lead effectively across functions and orgs: build trust with engineering/design, unblock dependencies, rally through setbacks, ensure successful launch
Communicate strategy and status concisely to stakeholders and senior leadership
Be the external face of workload optimization: engage with customers, partners, and community (e.g., Snowflake Summit)

Skills

Key technologies and capabilities for this role

Product ManagementSQLWorkload OptimizationGenAIAIRoadmap PlanningGTM StrategyCustomer Research

Questions & Answers

Common questions about this position

What is the salary range for the Senior Product Manager role?

The salary range is $200K - $262.5K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What experience and skills are required for this Senior Product Manager position?

Candidates need 7+ years in product management, 5+ years with data analytics, databases, or distributed systems, a strong understanding of the AI data platform landscape, a bachelor's degree in Computer Science, Engineering or similar, and demonstrable AI-native product management experience.

What is the company culture like at Snowflake?

Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to achieve their full potential while building big, moving fast, and advancing technology and careers.

What makes a strong candidate for this Senior Product Manager role?

A strong candidate is a full-stack product leader with high-judgment product design skills, a shipping obsession with bias for action, experience leading across functions, and a proven track record in AI-native product management.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free