What You'll Do
Build and Ship AI-Powered Tools and Workflows
- Build and own a growing library of internal AI tools — custom web apps, Streamlit interfaces, prompt-powered utilities, and automated workflows — that brand teams use in daily production.
- Design and implement automation pipelines that connect creative tools, content systems, and AI APIs, reducing manual overhead and building in the consistency that brand work requires at scale.
- Integrate AI capabilities directly into creative production workflows, including generative asset creation tools, design application features, and content workflows using LLMs.
- Own the full lifecycle of everything you ship — from initial scope and build through deployment, iteration, and ongoing maintenance.
Enable Adoption Across Brand Teams
- Serve as the shared AI implementation resource across brand marketing functions and surfaces.
- Educate and enable internal teams on the AI tools and systems you're building — running onboarding sessions, writing accessible documentation, and being the go-to resource for practical AI adoption.
- Build enablement resources — playbooks, templates, prompt libraries, training — so brand teams can confidently use AI tools without breaking brand standards.
- Partner directly with each team to understand their specific needs, then build solutions that are reusable across the broader brand org.
Define and Maintain Governance Standards
- Define and evolve the standards that make AI tooling sustainable: prompt libraries, model selection criteria, output evaluation frameworks, and usage guardrails that protect brand integrity.
- Be the first line of defense on brand consistency in AI-generated outputs across all touchpoints.
- Surface insights to leadership: what's working, what's not, where the next gaps are.
Stay Ahead of the Landscape
- Evaluate new AI platforms, models, and tools — rapidly prototyping with the ones that have genuine application for brand and creative work.
- Bring a strong, informed point of view on where AI adds real value versus where it introduces risk or noise.
What You'll Bring
- 8–10 years of combined experience in systems thinking, creative technology, software development, AI engineering, or an adjacent field — with meaningful time spent building tools for creative, brand, or marketing teams.
- 3–5 years of hands-on AI experience, including production-proven work with LLM APIs (OpenAI, Anthropic, Google, etc.) and advanced prompt engineering. You've built workflows and tools powered by these, not just explored them.
- Demonstrated experience building automation pipelines using tools or custom scripting that connect APIs, creative platforms, and data systems in real working environments.
- Solid design foundations — understanding of brand systems, the intent behind creative decisions, and the tools that support brand capabilities.
- A systems thinker's instinct: you design for the workflow, not just the task. You understand upstream and downstream effects, and you build solutions people can maintain.
- Strong communication skills across creative and technical audiences. You can explain model tradeoffs to a designer and articulate brand constraints to a developer.
- The ability to operate autonomously: scope ambiguous problems, make pragmatic calls, and prioritize across multiple teams and workstreams.
- Knowledgeable and comfortable working within the Snowflake ecosystem and tools.
Preferred Skills and Education
- Bachelor's degree or equivalent experience in Design, Computer Science, Human-Computer Interaction, or a related field.
- Record of building tools that teams adopt and sustain — not just prototypes, but things that stick.
- Experience working within or directly alongside creative organizations (agency or in-house brand team) with firsthand understanding of how brand and creative production operates.
- Familiarity with graphic design, web, motion graphics, or video production workflows.
- Experience implementing AI governance, responsible AI frameworks, or brand compliance systems.
SnowflakeMenlo Park, CA
