Marketing Manager (AI)

TL;DR

Marketing Manager (AI): Build and execute multi-channel campaigns to drive practitioner adoption of AI-powered data and developer tools with an accent on audience segmentation, campaign sequencing, and adoption measurement. Focus on designing closed-loop feedback systems, understanding practitioner needs, and collaborating cross-functionally to optimize campaign impact.

Location: Menlo Park, California, USA

Salary: $165,000–$216,300

Company

Snowflake is a fast-growing software company powering the era of the agentic enterprise with a focus on AI-native innovation.

What you will do

• Own campaigns to drive practitioner use case adoption from audience selection through execution and measurement.
• Develop deep knowledge of target practitioner segments and their needs.
• Assemble and sequence campaign assets into engaging journeys across multiple channels.
• Execute campaign strategies across owned, paid, earned, in-product, and partner channels.
• Measure campaign impact and build audience intelligence to inform future campaigns.
• Share adoption insights with product marketing, developer relations, and account teams.

Requirements

• Location: Must be based in the United States
• 5+ years in developer marketing, growth marketing, technical product marketing, or developer relations.
• Experience shipping multi-channel campaigns end-to-end with a focus on adoption outcomes.
• Technical fluency with APIs, SQL, and understanding of data engineering workflows.
• Familiarity with AI tools and how AI impacts developer workflows.
• Ability to collaborate cross-functionally with PMM, EPD, DevRel, and marketing teams.

Nice to have

• Experience marketing to data engineers, analytics engineers, or ML engineers.
• Background in DevRel or growth product management roles.
• Knowledge of data and AI ecosystem tools like dbt, Airflow, Spark, and Jupyter notebooks.
• Proven ability to connect marketing efforts to measurable adoption outcomes.

Culture & Benefits

• Work in a fast-growing, innovative software company focused on AI and data.
• Collaborate with cross-functional teams in a dynamic environment.
• Opportunity to help redefine how work gets done using AI.
• Commitment to confidentiality and data security standards.