Industry Principal – Office of the CMO, Non-Regulated Industries

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as a representative of Snowflake to the Office of the CMO within non-regulated sectors, focusing on the intersection of marketing strategy, customer data, advertising, and AI.

• Assist marketing executives in rethinking their approaches to measuring, activating, and personalizing engagement on the Snowflake AI Data Cloud and partner ecosystem.

• Transform marketing and advertising challenges into repeatable and scalable solutions.

• Collaborate with CMOs and senior marketing leaders on impactful initiatives.

• Convert priorities related to measurement, audience, first-party data, personalization, identity resolution, and decision-making into actionable roadmaps.

• Develop demonstrable examples utilizing Snowflake AI and data capabilities, encompassing measurement, attribution, audience intelligence, AI assistants, personalization, agentic automation, identity resolution, and secure data collaboration.

• Compile successful methods into reusable narratives, frameworks, and resources.

• Share insights and best practices through customer workshops, enablement sessions, webinars, and industry events.

• Collaborate with sales, solution engineering, product teams, and ecosystem partners.

• Report directly to the Global Head of Business Solutions.

⛳️ Requirements

• Significant experience in a technology, media, or manufacturing organization, focusing on growth, marketing analytics, audience or data strategy, or marketing technology.

• Knowledge of first-party data, identity resolution, programmatic AdTech, audience monetization, and B2B go-to-market data is advantageous.

• Practical expertise in marketing measurement, including mix modeling, attribution, and experimentation.

• Experience with audience strategy, customer data platforms, and real-time or event-driven activation processes.

• Ability to transform insights into decisions that impact budgets, programs, or customer outcomes.

• Background in building, guiding, or assessing predictive, generative, and agentic AI applications in marketing or advertising.

• Complementary depth and understanding of Machine Learning (ML) is preferred.

• Comfort with modern data architecture and the capability to engage credibly with data and engineering teams.

• Proven track record of measurable business impact, such as revenue, pipeline, or program influence.

• Confidence in presenting to and advising senior executives.

• Established ability to collaborate with sales, solution engineering, product teams, and partners to cultivate and expand strategic relationships.

• Bachelor's degree in marketing, business, statistics, economics, computer science, or equivalent practical experience.

• An MBA or advanced degree is preferred.

• Over 15 years of experience in marketing analytics, marketing technology, customer data, advertising, or related consulting roles.

• Willingness to travel for customer meetings, field events, and industry conferences.

🏝️ Benefits

• Commission plan; typical total on-target earnings range from $340,800 to $447,300.

• Equity plan.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• 401(k) retirement plan.

• Flexible spending account.

• Health savings account.

• A minimum of 12 paid holidays.

• Paid time off.

• Parental leave.

• Employee assistance program.

• Additional company benefits.