Senior Product Manager - Applied AI at Snowflake

Menlo Park, California, United States

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$222,000 – $295,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, DataIndustries

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus
8+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud services
Deep technical fluency to confidently lead architectural discussions with senior engineers and hands-on experience with data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows)
Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap
Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges
Exceptional executive presence and communication skills to command a room of C-level stakeholders and inspire a team around a shared vision
A "get it done" attitude with a passion for building exceptional products
Bonus: Experience building and launching products for developers or data scientists
Bonus: Familiarity with the Snowflake platform and Data Cloud ecosystem
Bonus: Management consulting experience
Bonus: Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity

Responsibilities

Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions; architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development, launch, and analysis of metrics to ensure successful impact
Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects; drive execution, partner with design, marketing, and sales to bring products to market, and act as the evangelist for your product vision
Be the Voice of the Customer: Act as the critical bridge between customer objectives and technical capabilities; engage deeply with users and executives to gather insights, validate hypotheses, and ensure solutions solve their most pressing, high-value problems
Commercialize Innovation: Distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products; own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features
Shape Business Strategy: Work shoulder-to-shoulder with leadership at Snowflake and customer organizations to define product strategy and execute on high-stakes business goals

Skills

Key technologies and capabilities for this role

Product ManagementGenerative AIMachine LearningProduct RoadmapCustomer DiscoveryCross-functional LeadershipData ScientistsSolution ArchitectsSnowflake Data CloudAI Solutions

Questions & Answers

Common questions about this position

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

The salary range is $222K - $295K.

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

This information is not specified in the job description.

What experience is required for this Senior Product Manager position?

Candidates need 8+ years of experience in product management with a proven track record of shipping successful enterprise software, plus a Bachelor's degree in Computer Science, Engineering, or a related technical field (MBA or advanced degree is a plus).

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 role?

Ideal candidates are entrepreneurial, customer-obsessed product managers who excel at owning the end-to-end product lifecycle, leading cross-functional teams, acting as the voice of the customer, commercializing innovation, and shaping business strategy in AI solutions.

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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