Mel Jardines
Mel Jardines

Mel Jardines

Marketing operations · AI workflows · Campaigns and CRO · Remote

I build the systems behind great marketing, and I love helping teams use AI to get their time back.

Lately I build AI workflows for marketing teams: agents and automations that take manual work off people's plates, with a person still in charge. Before that, I spent 10+ years in lifecycle, integrated and brand campaigns and conversion optimization, across travel, tech and agency clients. The workflows I can share are below, free to download.

Browse the workflow library Download my resume

Hiring? See how I work: run a live demo, ask the AI about my experience, or book a 15-min intro.

Experience

Email and lifecycle, integrated campaigns, international markets, and now AI workflows.

  • 2023 to 2026

    Lumen Technologies

    Senior Lead Digital Marketing Manager

    AI innovation, brand campaigns, integrated campaigns, and email and lifecycle

    Redesigned how a campaign strategy team works with AI (an AI kickoff-brief flow cut brief creation from days to hours), led the creative refresh for brand awareness campaigns, ran integrated offer campaigns that beat their goals, and built an always-on nurture program from scratch. Helped build a brand review agent recognized in an internal AI competition.

  • 2019 to 2023

    Royal Caribbean Group

    Senior Account Executive, Guest Commerce, International Marketing

    Led email strategy for the booked-guest experience across 90+ international markets (everything outside the U.S.), personalizing the journey with segmentation and behavioral triggers and localizing offers for LATAM, EMEA and APAC.

  • 2015 to 2018

    Agency work

    BCV Social Media Agency and Making Science US

    Social and content for travel clients, including on-site creative direction, then conversion rate optimization (CRO) and UX experiments for enterprise clients at a CRO agency.

  • Education

    Florida International University

    M.S. in Marketing and B.S. in Hospitality Management.

Case studies

Real projects, shared without confidential details. Each one has a live demo built on sample data.

Marketing ops

One campaign record, many uses

Context
Campaign details lived in decks, trackers and inboxes, so every brief, tracking link and report started by retyping the same facts.
Approach
I turned each campaign into one structured record, refreshed weekly from the system of record, and pointed the automations at it.
Outcome
Before, every brief, tracking link and report started by retyping the same campaign facts, and sources often disagreed. Now they all pull from one record, so setup is faster and the numbers match across reports.
  1. Campaign intake
  2. One campaign record
  3. Owners keep it current
  4. Briefs, links, readouts
AI agent

The kickoff brief agent

Context
Every campaign brief, journey and set of success metrics started from a blank page, and took days.
Approach
A new intake triggers an AI draft in the brand template. The campaign manager reviews it and owns the final brief.
Outcome
Brief creation goes from days to hours, with a person still in charge.
  1. Intake form
  2. AI drafts the brief
  3. Manager reviews
  4. Brief ready
AI agent

The UTM agent

Context
Tracking links were built by hand in spreadsheets, where one stray capital letter could break a campaign's reporting.
Approach
I built a Copilot Studio agent grounded in the naming rules and approved pages. It builds, checks and logs links, and never invents campaign values.
Outcome
Plain-language requests become compliant, logged links, so fewer broken links reach reporting. Built within enterprise AI guidelines.
  1. Plain-language request
  2. AI builds + checks
  3. Owner approves new values
  4. Logged link

The workflow library

Twelve workflows I built and tested with real marketing teams, rewritten so they work anywhere. Run a demo, or take one for your own team.

What's a workflow? A repeatable way to get one job done with AI: what you bring, the steps, the prompt, the guardrails, and the point where a person signs off.

Use one: Copy it into ChatGPT, Claude, Copilot or Gemini. Save it as your own assistant. Download it (.json) to build an automation.

The campaign work behind the AI

Before I built AI workflows, I ran the campaigns they support. That's how I know where the manual work hides. Each one has a sample playbook on made-up data. 🌴

One quick question

I am collecting a little data on what slows marketing teams down. Answer once, see how everyone else answered, and I will point you to a workflow that helps. Answers are anonymous and only shown together.

Say hello

If one of these would help your team and you want to talk it through, I would love to hear from you.

Book a 15-min intro Email me LinkedIn

Where should I send it?

Leave your email to download. I will only use it to share updates to the library if you say yes below.