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Technical Product Manager: Systems & Automation
Technical Product Manager: Systems & AutomationInterior Define • Denver, CO, US
Technical Product Manager : Systems & Automation

Technical Product Manager : Systems & Automation

Interior Define • Denver, CO, US
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Technical Product Manager : Systems & Automation

We're seeking a technically-savvy Product Manager to revolutionize our marketing technology operations across 6 distinct home furnishings brands. This role is perfect for someone who gets excited about transforming blast campaigns into sophisticated automation journeys, who can architect data flows between systems, and who thrives at the intersection of marketing strategy and technical implementation. Think less traditional Product Manager, more Marketing Technology Architect who can lead through influence and drive measurable business outcomes.

As a company, we're committed to automating everything we can and leaning heavily into AI to scale our operations and deliver exceptional customer experiences. Our marketing team has identified significant opportunities to level up our technical capabilities and strategic approach through intelligent automation. We need someone who can champion AI-powered solutions, replace blast campaigns with intelligent drip campaigns, implement predictive analytics, improve the health of our email lists through automated optimization, and build self-improving systems that get smarter over time. This is a hands-on role for someone who loves diving into the details while maintaining a strategic vision for an AI-first marketing future.

What You'll Do

  • 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.

Who You Are

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 (Not Required)

  • 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,
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