Responsibilities

• Champion AI and automation initiatives across all marketing operations, identifying opportunities to leverage machine learning for personalization, predictive analytics, and campaign optimization.
• Implement intelligent automation workflows that reduce manual work, scale personalization, and enable the marketing team to focus on strategy rather than execution.
• Drive marketing automation maturity from batch-and-blast to sophisticated AI-driven nurture streams, behavioral triggers, and dynamic personalization at scale.
• Build and deploy predictive models for customer lifetime value, churn risk, next-best-action, and optimal send time to maximize engagement and revenue.
• Bridge business strategy and technical execution by translating marketing opportunities into prioritized product features and scalable, automated solutions.
• Architect customer data flows between CRM, CDP, ESP, analytics platforms, and other marketing systems to create a unified view of the customer.
• Define and implement marketing operations best practices including list hygiene, deliverability optimization, segmentation strategies, and compliance (GDPR/CAN-SPAM).
• Build attribution models and closed-loop reporting to measure true marketing impact and inform data-driven decisions across all brands.
• Partner with marketing teams to operationalize segmentation strategies, personalization frameworks, and omnichannel orchestration across email, SMS, push, and other channels.
• Lead cross-functional teams to create delightful customer experiences that drive growth across our owned & operated home furnishings brands.
• Own and manage a clear, well-groomed product backlog that balances long-term strategic vision with tactical improvements and operational excellence, and ensure that all organizational stakeholders have real-time visibility into these priorities.
• Work hands-on with designers and engineers to plan, execute, and optimize sprints that deliver measurable impact on marketing performance.
• Define success metrics and implement systems to track impact, inform decisions, and drive continuous improvement across all marketing programs.
• Roll up your sleeves to solve complex problems, whether that's diving into technical details, process optimization, or strategic planning.

Core Competencies

• AI-forward mindset - excited about leveraging artificial intelligence and machine learning to solve marketing challenges, with the understanding that AI makes technical tasks more accessible to everyone.
• Automation evangelist who constantly seeks opportunities to eliminate manual processes and build self-improving systems - you don't need to code them yourself, but you need to envision them.
• Strategic thinker with technical curiosity who asks the right questions and can work with technical teams to find solutions, even if you're not implementing them personally.
• Learning agility - in an AI-powered world, the ability to quickly adopt new tools and technologies matters more than deep expertise in any single platform.
• Systems thinker who understands how changes in one platform impact the entire marketing ecosystem and can anticipate downstream effects.
• Strong communicator who can speak the language of both business stakeholders and technical teams, translating between strategy and implementation.
• Process-minded with the ability to design and implement systems that scale, while maintaining the flexibility to adapt quickly to changing business needs.
• Highly organized and detail-oriented, able to manage complex backlogs, technical dependencies, and competing priorities across multiple brands.
• Collaborative leader who builds trust across teams, mentors others, and isn't afraid to make tough decisions when needed.
• Analytical and data-driven, comfortable leveraging both qualitative insights and quantitative metrics to guide technical and strategic decisions.

Marketing Technology Understanding

• Platform experience: Hands-on experience with at least one major marketing automation platform (HubSpot, Braze, Klaviyo, Marketo, etc.) - you understand the strategic capabilities, even if you're not the one writing the code.
• AI/ML curiosity, awareness, and experience: Understanding of how AI can transform marketing - predictive analytics, intelligent segmentation, content optimization, and automated decision-making. You don't need to build models, but you should know when and why to use them, and not be afraid of using AI to build a script or a prototype, or to automate analysis.
• Data architecture concepts: Familiarity with how customer data flows between systems (CRM, CDP, ESP) and why it matters. You can envision the ideal state even if you need technical partners to build it.
• Automation mindset: Experience identifying manual processes that should be automated and the ability to design the solution conceptually, then work with technical teams to implement.
• Email marketing fundamentals: Understanding of deliverability concepts, list health, and engagement metrics - the strategy behind successful email programs, not the technical configuration.

Technical Bonus Points

• Any coding experience (SQL, Python) - helpful but not essential in the AI era
• Experience with API-based integrations - and using AI tools to script or automate
• Hands-on experience with AI tools for content creation or analysis
• Familiarity with no-code automation platforms (n8n, Zapier, Make, etc.)

Strategic Product Skills

• Experience with lifecycle marketing optimization - moving from one-off campaigns to always-on, self-optimizing programs.
• Understanding of customer journey mapping and multi-touch attribution with emphasis on automated journey optimization.
• Ability to define marketing technology roadmaps that balance quick automation wins with platform transformation.
• Experience implementing AI-driven testing frameworks for continuous optimization across channels and campaigns.
• Knowledge of predictive analytics for forecasting, budget optimization, and resource allocation.

Nice to Have

• Experience with multi-brand marketing operations and centralized automation strategies
• Knowledge of retail/e-commerce customer lifecycles and AI-driven personalization
• Certification in major marketing platforms and/or AI/ML technologies
• Experience migrating between ESPs or implementing CDPs with automation in mind
• Understanding of generative AI for content creation and creative optimization
• Experience with marketing mix modeling and automated budget allocation
• Familiarity with low-code/no-code automation platforms (Zapier, Make, etc.)
• Background in building or implementing chatbots and conversational AI for marketing

What We Offer

• Full-time, in-person role based in Denver, CO
• Compensation range: $75K+, dependent upon experience
• Benefits include: competitive compensation, generous PTO, volunteer days off, health benefits (Medical, Dental, Vision, Disability), company equity, 401K with company match, and fertility benefits
• Additional perks: free design services, furniture discounts, and merchandise credits
• Growth opportunity: Join a company that's investing heavily in AI and automation - be at the forefront of transforming how we operate
• Impact: Your work will directly influence how we engage millions of customers across 6 brands