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Industry Architect – Marketing; Cross-Industries

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Snowflake
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Industry Architect – Marketing (Cross-Industries)

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

What You’ll Do
  • Lead strategic customer engagements — Partner with CMOs, Heads of CRM, Marketing Ops, Digital, and Data leaders on high-impact initiatives, framing how Snowflake can power their next generation of customer growth and experience.
  • Translate marketing problems into architectures — Turn cross-industry marketing challenges (customer 360, segmentation, personalization, attribution/measurement, consent and privacy, next-best-action) into clear, end-to-end data and AI architectures and roadmaps.
  • Lead customer-facing discovery & experience workshops — Facilitate structured, UX-style workshops with cross-functional customer teams to unpack journeys, identify the highest-value marketing problems to solve, and quickly co-design and prototype data- and AI-driven solutions on Snowflake.
  • Design the “last mile” marketing experience — Architect how marketers, analysts, and growth teams actually experience Snowflake:
    • Native experiences using Snowflake Intelligence, Streamlit, and agents
    • Integrations with CDPs, marketing automation, adtech/martech, BI, and product analytics tools
    • Workflows that fit naturally into how marketing teams plan, execute, and measure campaigns
  • Build compelling prototypes and demos — Create hands-on reference implementations that bring stories to life:
    • Customer 360 and audience strategy powered by Snowflake
    • AI-driven segmentation, recommendations, and propensity models
    • Agents and copilots that help marketers ask questions, explore audiences, and plan campaigns using natural language
  • Create reusable, field-ready assets — Package your work into repeatable assets:
    • Reference architectures, blueprints, and solution patterns
    • Demo scripts, data stories, and Streamlit apps
    • Persona- and vertical-specific playbooks for sales and solution engineering
  • Shape our cross-industry marketing story — Work with Industry GTM, Product Marketing, and Solution Engineering to sharpen Snowflake’s point of view on modern marketing and advertising architectures across Retail & CPG, Financial Services, Media & Entertainment, Healthcare, Manufacturing, and more.
  • Be a visible marketing + data thought leader — Share best practices and patterns through enablement sessions, webinars, customer workshops, and industry events - helping both internal teams and customers understand what “great” looks like on Snowflake.
  • Champion responsible, governed AI in marketing — Ensure that solutions you design respect privacy, consent, governance, and brand safety, and that AI usage is grounded, observable, and aligned to customer trust.
Who You Are
  • Marketing and martech fluent
    • 8+ years in marketing technology, data-driven marketing, digital experience, or adjacent architecture roles
    • Strong grasp of core marketing concepts: customer 360, audience strategy, lifecycle marketing, personalization, attribution/measurement, consent and privacy, and media activation
    • Comfortable mapping these concepts into concrete data models, workflows, and technical architectures
  • Architect at heart, storyteller by nature
    • Proven experience designing or implementing data and AI architectures that support marketing and customer experience use cases
    • Able to simplify complex ideas into clear narratives, visuals, and decision frameworks for both technical and non-technical stakeholders
    • Confident facilitating whiteboard sessions, journey mapping, and executive briefings
  • Hands-on with data and AI
    • Proficient in SQL and at least one scripting language (Python preferred)
    • Experience building or guiding data- or AI-driven applications (e.g., notebooks, Streamlit, web apps, or similar)
    • Familiarity with modern AI patterns (LLMs, RAG, embeddings, predictive models) and how they can be safely applied in marketing and advertising
  • Cross-industry and persona-aware
    • Experience working with marketing teams in multiple industries (e.g., Retail & CPG, Financial Services, Media & Entertainment, Healthcare, Manufacturing,…
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