At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We're hiring someone to build the playbook for how we drive practitioner adoption of new capabilities, and bring new practitioners into the platform. You'll pick a segment (data engineers, ML engineers, analytics engineers), pair it with a use case, and figure out what it takes to get practitioners from awareness to activation. That means developing real knowledge of your audience: what they care about, where they spend time, what resonates, and what falls flat. Then working cross functionally to assemble the right assets, sequence them into an exciting journey that leads to adoption, and getting your campaign in front of the right people across owned, paid, in-product, and partner channels.
What you're building is a closed loop. Each campaign is instrumented so you can see what actually worked. Did practitioners activate? Did usage stick? How quickly did they find value? Each round of learning makes the next one sharper. The insights you generate don't stay with you; they feed back to marketing, product and account teams to drive broader adoption across organizations.
If you want to own the full arc from choosing the audience to designing the playbook to shipping the campaign to building the feedback loops that make it all compound over time, this is that role.
Own campaigns to drive practitioner use case adoption from audience selection through execution and measurement. For example, showing data engineers how to multiply data modeling impact with an AI-powered coding assistant, or helping ML engineers discover on-platform model serving.
Develop deep knowledge of your target practitioner segments: what they care about, where they spend time, what resonates, and what falls flat.
Assemble campaign assets from across the organization (docs, guides, workshop content, videos, references) and sequence them into a journey that takes practitioners from curious to committed
Execute the campaign strategy across owned, paid, earned, in-product, and partner channels, working with and coordinating across other functions as needed.
Measure campaign impact through adoption outcomes. Did the audience activate? Did usage stick? How quickly did practitioners find value?
Build audience intelligence that informs the next campaign and gets shared with PMM, DevRel, and account teams.
Share adoption insights with account teams to help drive broader organizational adoption.
5+ years in developer marketing, growth marketing, technical product marketing, or developer relations — ideally somewhere you marketed to data practitioners or developer tool users
You start with the audience, not the channel. "Who is this for and what do they care about?" comes before "let's do a webinar"
You've shipped multi-channel campaigns end-to-end — strategy through execution, not just decks
You think in funnels, cohorts, and adoption curves. You care about whether people found value, not just whether they clicked. Comfort with SQL or BI tools is a real plus
You get things done through people you don't manage. You'll partner with PMM, EPD, DevRel, Community, and Integrated Marketing daily
You're technically fluent — you can follow an API tutorial, read a SQL query, and understand why a data engineer cares about a particular workflow, even if you're not writing production code yourself
You use AI tools in your own work and you understand how AI is changing what developers do — because that's what you'll be helping them discover
You've marketed to data engineers, analytics engineers, or ML engineers specifically
You've been in DevRel or a growth PM role and want to be closer to measurable practitioner impact
You've connected marketing efforts to real adoption outcomes — not just form fills or pipeline attribution
You know the data and AI ecosystem: dbt, Airflow, Spark, Jupyter, notebooks, or similar
You've been the person who had to prove a campaign changed user behavior, not just generated activity
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