Marc.Turtal
Manila, Philippines · Remote, any timezone Marc Turtal

Revenue runs on data. I build that data.

Marc Philip P. Turtal · Director, AI & Automations

I build the data and AI infrastructure revenue teams run on. 12+ years across fintech, e-commerce, and SaaS. One person delivering team-level scope by working AI-native.

Get in touch Read the case study
Portrait of Marc Turtal
Track record JPMorganChase My Amazon Guy Payreto Google Telstra DirecTV Company | Confidential

A$208k

Revenue newly attributed to outbound DMs, 2026.

Confidential client

62%

Operational speed lift on an enterprise AI platform.

JPMorganChase

$51,568

Single-day funnel revenue from one webinar.

My Amazon Guy

800k+ EUR

Added monthly processing volume across two accounts.

Payreto

Case study · 2026 · A high-ticket sales education company, Australia

From zero to a revenue source of truth in 8 weeks.

Problem

Revenue data scattered across 8 tools, no attribution. Nobody could say which channel produced which sale, or how much cash a month actually collected.

Build

A Supabase Postgres warehouse on a three-layer architecture, fed by 8+ integrations: CRM, accounting, payments, Instagram DM sales, Messenger, Discord, YouTube, and webinars.

A read-only MCP server lets executives query the warehouse in plain English in Claude. Everything runs unattended on Railway crons.

Delivery

Roughly 30 PRs, delivered solo, AI-native. 14,297 Discord messages backfilled across 26 channels. 692 YouTube videos pipelined.

The system, end to end
8+ sources CRM, GoHighLevel Accounting, Xero Payments Instagram DMs Messenger, Discord YouTube, Webinars Postgres warehouse Supabase, versioned migrations STAGING raw, append only CORE typed, entity resolved LOGIC governed views, read only MCP server SELECT only, on Railway Executive in Claude asks in plain English no SQL required CRM, GoHighLevel Accounting, Xero Payments Instagram DMs Messenger, Discord YouTube, Webinars Postgres warehouse Supabase, versioned migrations STAGING raw, append only CORE typed, entity resolved LOGIC governed views, read only MCP server SELECT only, on Railway Executive in Claude asks in plain English 8+ sources one source of truth no SQL required

Stack in this build

Supabase Postgres Claude + MCP Railway Discord YouTube Instagram DMs Messenger

15 sales

Fully tracked in the first complete month.

A$147k

Revenue visible end to end, by channel.

A$54k

Cash collected, reconciled against payments.

Track record

Named companies. Shipped facts.

  • 2026 to present

    Director, AI & Automations

    Company | Confidential

    A$208k revenue newly attributed to outbound DMs. The revenue source of truth case study above.

  • 2025 to present

    Senior Technology and AI Manager

    JPMorganChase

    62% operational speed lift from an internal AI platform. Project Ultron drove roughly 80% team efficiency gain and 30 to 40% faster incident resolution. Subpoena platform cut prep time 50%.

  • 2023 to 2025

    GTM & Marketing Automation Specialist

    My Amazon Guy

    $51,568 single-day webinar funnel. Company-wide AI adoption standard. 30% operational cost cut. Fastest Tier 1 to Tier 3 promotion in company history.

  • 2020 to 2023

    Technical Account Manager, Payments RevOps

    Payreto

    800k+ EUR monthly processing volume added by turning two underperforming accounts into the #2 and #3 revenue drivers. Led a team of 8. Managed enterprise clients including Delivery Hero (FoodPanda).

  • 2012 to 2020

    Earlier work

    Google Telstra DirecTV

    Consistently top KPI and CSAT with rapid promotions, plus dental practice ops and full-stack web delivery.

Services

Built for founders who need revenue infrastructure, not headcount.

  • Data warehouse builds

    A Postgres warehouse that unifies your revenue tools into one queryable source of truth.

  • Revenue attribution

    Every sale tied to its channel, from first touch to cash collected.

  • AI access layers

    MCP servers and Claude integrations so your team queries data in plain English.

  • Automation and bots

    Unattended pipelines and bots that run your ops while you sleep.

  • Fractional AI and RevOps leadership

    Director-level ownership of your data and AI roadmap, without the full-time seat.

Projects · Public work

Things you can click.

Live · Gemini PH Gift Ideas AI gift recommendation engine for Filipino markets, built on Gemini with real-time search. Visit site Live · Payments ACI Payment Tester White-label ACI PAY.ON API testing tool. Later adopted by ACI for knowledge base publication. View tool Founder · Agents OpenClaw Multi-agent AI system for autonomous content generation, distribution, and monetization. Ask about it Internal · RevOps RevOps Dashboard Real-time campaign metrics aggregated from HubSpot, ClickFunnels, and Zapier. Request details Internal · Fintech Payment Routing Engine Custom REST API for merchant routing, risk assessment, and settlement on ACI PAY.ON. Request docs Demo · Fun Download More RAM Humorous landing page with animated progress bars, tier selection, and easter-egg mechanics. Ask for the demo
Writing

Notes from the build.

FAQ

Frequently asked.

Are you open to remote or international roles?

Yes. Based in the Philippines and built for remote work with US, AU, and EU companies. Comfortable with async workflows, overlap hours, and regular video syncs, any timezone.

Full-time employment or fractional engagements?

Both. Full-time Director or Head-level roles where I own the data and AI stack end to end, and fixed-scope fractional builds for founders, like the revenue source of truth case study on this page. Scope and terms are discussed per engagement.

What does a typical founder engagement look like?

A fixed scope with a working system at the end, not a slide deck. The 2026 build went from zero to a queryable revenue warehouse in 8 weeks, delivered solo. Most engagements start with attribution or a warehouse and grow from there.

Can I see your work or resume?

The case study and track record on this page are the portfolio. Public projects: phgiftideas.com and v2.mtits.me. For the full resume, and I approve each request personally, or reach out on LinkedIn.

Contact

Tell me what your revenue data should be doing.

Request the resume

I approve each request personally. You will receive the PDF by email once approved.