Marketing AI Engineer

Avenue Z is a digital marketing and PR agency engineered to move fast. Brands partner with us to drive revenue and reputation through high-impact public relations, performance media, AI search optimization (AEO), and our creator network. Trusted by leaders in emerging tech, finance and consumer brands, we drive influence across all channels - from AI Search to The Wall Street Journal, Shopify to TikTok, Meta to Google.

You are a growth marketer who builds. You have bought media on Meta, Google, or TikTok with your own hands, you know what a good ROAS looks like before the dashboard loads, and when something is manual, repetitive, or slow, your instinct is to open an editor and wire it to the platform API rather than schedule a working session.

The Marketing AI Engineer builds and ships the AI agents, automations, and reporting systems that run paid media, creator and affiliate campaigns, CRO, and client reporting at Avenue Z. The work is concrete: agents that launch and QA ads across Meta, TikTok, and Snap; systems that reallocate budget toward top-performing creators; reporting that ties creator content, ad spend, and attributed revenue into one picture; alerts that catch an expiring TikTok Shop affiliate code or a Meta partnership permission before spend stalls.

You are also the technical lead for our AI builders. You set the standard for how agents are designed, reviewed, and shipped across service lines, you review their work, and you are the person leadership turns to when a build needs a decision. You will embed with the paid media, creator, and ecommerce teams to find where throughput or margin is lost, build the system that fixes it, drive adoption, and move to the next one.

This is a builder and a leader role. You ship working systems yourself, and you raise the bar for everyone else who ships them.

• →Be a passive project coordinator or a pure strategist with no build capability.
• →Spend months planning without shipping.
• →Wait for perfect requirements before building.
• →Build for novelty instead of business value.
• →Replace human judgment where brand, strategy, or client context still matters.
• →Treat marketing as someone else's domain. You have to understand the ad account as well as the people running it.

• Integrate with the Meta Marketing API, TikTok Business and TikTok Shop APIs, Google Ads API, Snap, Shopify, and affiliate and creator platform APIs: OAuth and token refresh, rate limits, webhooks, and partnership-access flows.
• Build agents and automations for ad launching and QA, budget pacing and reallocation, creative tagging and performance intelligence, anomaly detection, and cross-platform commission tracking.
• Build the reporting layer that shows a brand what actually drove revenue, cross-referenced against Shopify as the source of truth.

• Sit with paid media, creator and affiliate, CRO, and ecommerce teams. Audit how they work today, map the workflow from input to output, and find the steps that should run automatically.
• Turn a messy manual process into a working system inside weeks, not quarters. Define where a human approves and where the system acts on its own, especially where money or brand safety is on the line.
• Drive adoption. A system that ships and sits unused does not count. Train the team, gather feedback, and iterate.

• Provide technical leadership on product roadmap.
  Be an expert in building and shipping production ready solutions.
• Set the standard for how Avenue Z designs, reviews, documents, and ships agents and automations across service lines, and enforce it through code review and design review.
• Review and mentor the engineers and builders already working on AI automation across PR, SEO and AEO, organic social, and ecommerce. Unblock them, raise their quality bar, and own the outcome of their work.
• Run the intake and prioritization of automation requests so the team builds what moves revenue, time saved, or client retention, in that order.
• Report progress, blockers, and measured impact to the CTO and present to leadership.

• Build things that create new advantages for the business, not just faster versions of old tasks: autonomous media buying, creative-to-landing-page pipelines, creator performance ranking, and whatever you see next that we have not.

• A background in growth marketing. You have personally run paid media on at least one of Instagram and Facebook, Google, or TikTok, and you understand campaign structure, pixels and events, attribution windows, creative testing, and what the numbers mean.
• Hands-on experience working with the Meta Marketing API and the TikTok Business or TikTok Shop APIs, plus other marketing platform APIs (Google Ads, Shopify, Klaviyo, affiliate and creator platforms). You have built something real against them, not read the docs.
• Deep, current, hands-on knowledge of the digital marketing industry: how agencies and brands actually operate, where the manual work sits, and what clients pay for.
• Extensive hands-on experience with AI coding tools (Claude Code, Cursor, Codex, or similar) and a working command of good coding practice: version control, code review, environment and secrets management, testing, and documentation. A computer science degree is not required. Shipped work is.
• Experience leading others who build. You have been a principal engineer, a founder, a lead engineer, a technical team lead, or a leader of product managers, and you have set and enforced a quality bar for a team's work.
• Experience building AI agents and automations in production: prompts, tool use, approval gates, error handling, and monitoring, using whatever stack fits (Python or TypeScript, agent frameworks, workflow platforms such as n8n or Make where they are the right tool).
• A portfolio of projects or code repositories you can walk us through (see below).
• Based in, or relocating at your own expense to, Miami or Orlando. Onsite.

• Experience in an ecommerce or performance marketing agency, or on a DTC brand's growth team.
• TikTok Shop, creator and affiliate marketing, or influencer campaign experience.
• Data work: SQL, BigQuery or a similar warehouse, Looker Studio or similar BI tools.
• Shopify app or Shopify API experience.
• You have built and sold, launched, or run something of your own.

• Moves fast and learns fast.
• Thinks in systems and sees ambiguity as a build opportunity.
• Commercially aware: knows the difference between an impressive demo and a system that makes or saves money.
• High agency. Does not wait to be assigned the problem.
• Good judgment on what should be automated and what should stay human.
• Can switch between a conversation with a media buyer and a code review without changing register.

We will ask every candidate for a list of projects or code repositories that demonstrate the ability to do this job. Public GitHub repos, private repos you can grant read access to, a Loom walkthrough of a system in production, or a written case study with architecture and results all work. We are looking for:

• At least one build against a marketing platform API (Meta, TikTok, Google, Shopify, or similar) that ran in production.
• At least one AI agent or automation that replaced real manual work, with the before and after.
• Evidence of your coding practice: how you structure a project, handle secrets, test, and document.
• If you have led a team, an example of a standard you set and how you enforced it.

Candidates who cannot share any work product will not advance.

• Meet the paid media, creator, CRO, and ecommerce leads and the AI builders across service lines.
• Get read access to the ad accounts, the platform apps, and the existing agent codebases. Audit what is live, what is half-built, and what is broken.
• Map the highest-friction, highest-frequency workflows and prioritize three to five to build or fix first.
• Agree success metrics and reporting cadence with the CTO.

• Ship your first agent or automation into live use on a named client account.
• Review the open work of the existing builders and set the code review and design review standard.
• Document logic, approvals, edge cases, and operating rules for everything you ship.

• Extend what works to more accounts and teams. Build reusable patterns, templates, and shared tooling.
• Introduce a clear framework for human review and escalation, especially for anything that touches spend or client-facing output.
• Take over intake and prioritization of automation requests.

• Present before and after results, adoption, and measured time or money saved to the CTO and CEO.
• Recommend the next wave of builds.
• Have a team that ships to your standard without you in every review.

• Three to five high-value systems live on real client accounts in the first 90 days.
• Measurable reduction in manual work on targeted processes, with the baseline captured before the build.
• Strong internal adoption by the teams using the systems.
• Reliable performance with clear exception handling. Nothing touches a live ad account or a client without a logged action and a named approver.
• The AI builders across service lines shipping to a single documented standard.
• A clear roadmap for the next phase of agent development tied to revenue, retention, or cost.

• Review a manual process in paid media or creator ops and redesign it into a system.
• Build or refine an agent based on yesterday's feedback from a media buyer.
• Review another builder's pull request and send it back with what to change.
• Wire a new platform endpoint, handle the token refresh, and ship it.
• Monitor what is running, fix what failed overnight, and improve reliability.
• Ship again.

• Daily: async update to the CTO on builds, blockers, and wins.
• Weekly: working session with the CTO on priorities, decisions, and impact.
• Monthly: summary of automation impact, adoption, and next opportunities to the CEO.