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Marketing AI Architect

Hillpointe is hiring a founding Marketing AI Architect to build the next generation of AI-native tools powering our Marketing, Creative, and Centralized Operations teams. This person designs, builds, and deploys internal applications, automations, custom AI agents, and shared context systems that improve the customer journey from first lead through residency - and that make Hillpointe and Pointe Grand discoverable, cited, and recommended by AI models.

This is a founding, high-trust role. You will inherit and extend a live portfolio of internal tools already shipped by the Brand & Creative organization (brand guidelines hub, org-chart app, property knowledge bases, job-description builder, and more) while building net-new systems the team does not have yet. You will work marketer-first: you own the problem, not just the code.

We are looking for a builder who ships - someone who is deeply capable inside AI development tools such as Claude Code and OpenAI Codex, fully comfortable at the command line and in GitHub, and who can get working tools into teammates' hands efficiently and repeatedly. Marketing "taste" and judgment are the differentiators; the code is the means, not the end.

Key Responsibilities: 

• AI-Native Tool Building

  • Design, build, and ship internal tools, dashboards, and applications that eliminate manual work for Marketing, Creative, and Centralized Operations.

  • Use AI development tools (Claude Code, OpenAI Codex) to prototype and build functional software at high velocity - turning natural-language intent into working systems.

  • Maintain, harden, and extend the existing portfolio of internal tools already in use across the Brand & Creative organization.

  • Build reusable, well-documented components and templates so tools are durable and maintainable, not one-off scripts.

  • Shared Context & Multiplayer AI

  • Move the organization from "single-player" to "multiplayer" AI by building shared context layers - centralized, version-controlled libraries of brand truths, voice guidelines, product specs, and competitive intelligence.

  • Develop and maintain reusable AI Skills and Model Context Protocol (MCP) integrations synced to GitHub, so every teammate and agent works from the same governed source of truth.

  • Reduce hallucinations and inconsistency by ensuring content generated across teams pulls from the same live, accurate context.

• AI Visibility - GEO / AEO (Signature Responsibility)

  • Own "Make the Invisible Visible" (MTIV): ensure Hillpointe and Pointe Grand are cited and recommended inside LLM responses, not just ranked in traditional search.

  • Practice Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO): structure content and data so AI models can crawl, parse, understand, and cite it accurately.

  • Track AI citations, bot/crawler traffic, and brand sentiment across the sources models trust most (Reddit, YouTube, review sites, PR, technical documentation).

  • Guard citation accuracy - build fact-check systems so AI models never surface incorrect pricing, availability, or brand facts. Visibility with bad data is a reputational liability, not a win.

  • Audit for technical crawlability: flag JavaScript-heavy widgets and other patterns that make our content invisible to AI agents.

• Automation & Integrations

  • Take an API-first approach to breaking down data silos - replace hours of manual export/import work with code-driven syncing.

  • Build custom AI agents for specialized, recurring tasks (research, monitoring, reporting, asset generation).

  • Build integrations that connect marketing, leasing, and operational systems so data flows automatically instead of by hand.

  •  Generate personalized creative at scale (e.g., high-volume, per-audience ad and asset variations) using AI and design-tool integrations.
    

• Deployment & Distribution
  
  • Get tools into teammates' hands efficiently and repeatedly - own the path from working prototype to something the team actually uses.
    
  • Use CLI and GitHub fluently to version, deploy, and maintain tools across the organization.
    
  • Document and onboard teammates so tools are adopted, not shelved.
    
• Product Collaboration & Marketer Taste

  • Interpret the goals and needs of marketing team members and translate them into tools that fully realize those needs.

  • Apply judgment before automating: does this match our brand voice, add real value, and solve a genuine "hair-on-fire" problem - or is it noise for the sake of automation?

  • Partner directly with Marketing, Creative, and Centralized Operations leadership to prioritize the highest-impact builds.

• AI-Native Stack
  You will live in an AI-native toolchain. Deep fluency with the following is central to the role:

• • Claude Code & OpenAI Codex - primary AI development environments for building and shipping tools.

  • Command line (CLI) - fluent, daily driver for building, running, and deploying.

  • GitHub - version control, shared context sync, and team distribution.

  • Model Context Protocol (MCP) & AI Skills - connecting AI models to live, governed brand context.

  • You will choose the right frameworks, languages, cloud, and data tools for each build. We care that you can ship durable, maintainable systems - not that you arrive fluent in any specific web framework or database.

Qualifications:

• Required:
  • A marketing, creative, growth, or brand background - you understand marketers because you have been one.

  • A portfolio of tools, agents, automations, or apps you have personally built and shipped (personal projects count - we want to see what you build when no one tells you to).

  • Deep, hands-on capability with AI development tools such as Claude Code and/or OpenAI Codex.

  • Comfortable and fluent with the command line (CLI) and GitHub.

  • Ability to deploy tools to a team and drive real adoption - not just build in isolation.

  • "Marketer taste": the judgment to know what NOT to build, and when AI output is off-brand or low-quality.

  • Relentless curiosity - you keep up with new models and capabilities as a matter of habit.

  • Ability to own projects independently while collaborating across teams.

• Preferred:
  • Experience building internal business tools or software used by a team.
    
  • Formal software engineering background or CS coursework - valued, but not required if you can demonstrate what you build.
    
  • Hands-on GEO / AEO / AI-visibility experience (citation tracking, structured content for LLMs).
    
  • Experience with API integrations across SaaS platforms.
    
  • Experience building custom AI agents or MCP integrations.
    
  • Design or content-creation ability alongside building.
    
  • Knowledge of property management, multifamily housing, CRM, or marketing technology.