AI GTM transformation & marketing operations

I build the martech, data & AI systems that turn marketing strategy into predictable revenue.

Marketing operations and go-to-market engineering for B2B SaaS. 10+ years running HubSpot, Marketo, and Salesforce stacks, plus the data and AI layer around them, with the code to go beyond any single platform.

Led by Taras Melnychenko · ex-Webflow · marketing ops, AI strategy & go-to-market leadership

$350→$90

Cost per demo, one paid program

3:1→7:1

Pipeline ratio improvement

100+ hrs/mo

Saved for one marketing team with AI automation

10+ yrs

Marketing ops & GTM engineering

What I do

Three ways to move your pipeline

Each engagement starts with the system, not the symptom. Here's where I work.

How I work

A clear path from messy to measurable

  1. 01

    Audit

    Map the current stack, data, and workflows. Find the gaps costing you pipeline and the work an agent should be doing.

  2. 02

    Architect

    Design the target system: platform, lifecycle, data pipelines, and where AI fits. Then sequence the work by impact.

  3. 03

    Build

    Ship it hands-on: programs, pipelines, agents, and tracking, with the Python, SQL, and JavaScript to go beyond native features.

  4. 04

    Hand off

    Document everything and enable your team. You own durable systems, not a dependency on me.

The stack

Automation platforms & CRM

Marketo · HubSpot · Salesforce

Data, enrichment & warehouse

Snowflake · Segment · Census · Fivetran · Clay · ZoomInfo · Clearbit · Apollo · LeanData

AI & orchestration

Claude & Claude Code · ChatGPT · Gemini · MCP · n8n · Zapier · Google Apps Script · Airtable · Slack

Tracking, ads & consent

Google Tag Manager · GA4 · Consent Mode v2 · Google Ads · LinkedIn Ads · Microsoft Ads · Meta CAPI

Lifecycle & engagement

Iterable · Outreach · Gong · Calendly · Reachdesk

Web, SEO & code

Webflow · Ahrefs · SEMrush · Python · SQL · JavaScript

Questions

What people ask before reaching out

What is AI GTM transformation? +

AI GTM transformation is the practice of putting AI at the core of how a go-to-market team operates. In practice that means auditing where the team actually loses time, finding the highest-impact opportunities, and building the automation and agents that give those hours back. It is production tooling wired into everyday work, not a strategy deck or a bolt-on chatbot.

Does using AI in marketing operations mean replacing the marketing team? +

No. AI in marketing operations is a time-efficiency play, not a headcount play. The goal is to take repetitive, rule-bound work off the team (campaign setup, QA, routing, reporting pulls) so people spend their week on strategy, creative, and judgment calls that AI cannot make. Teams that embed AI well get faster and more focused, not smaller.

What does a marketing operations consultant actually do? +

A marketing operations consultant owns the connective layer between marketing strategy and revenue: the automation platform, CRM, lead lifecycle, scoring, attribution, campaign operations, and the data pipelines around them. I architect and operate that layer end to end, and I write the Python, SQL, and JavaScript to connect tools when native features fall short.

Do you work with Marketo, HubSpot, or Salesforce? +

All three, and I am certified across them: Adobe Marketo Engage certified expert, HubSpot Inbound certified, with Salesforce admin proficiency. Most companies run either HubSpot on its own, HubSpot with Salesforce, or Marketo with Salesforce. I help you pick the right pairing for your motion, build the foundation from the ground up, or fix the one you have.

Which is better for B2B, HubSpot or Marketo? +

It depends on your motion, not the vendor marketing. HubSpot wins on speed-to-value and a unified data model for smaller or sales-led teams. Marketo paired with Salesforce wins on flexibility and scale for complex, data-heavy B2B motions with a dedicated ops function. I have built and migrated both directions and have no stake in the answer.

Can you help with integrations between our marketing tools? +

Yes. Integrations are one of the most common reasons companies bring me in: connecting the automation platform to the CRM, syncing product and billing data, embedding forms on the website, deploying trackers, and wiring webhooks or reverse-ETL pipelines. Often the answer is making the tools you already pay for work together properly instead of buying another one.

Do you help with campaign operations like nurtures, webinars, and launches? +

Yes. Beyond architecture, I run and advise on campaign operations: nurture programs, webinar and event flows, campaign templates, launch QA, and the taxonomy and tracking governance that keep reporting clean. The goal is a repeatable launch machine your team can run without me.

Do you help with GDPR, consent, and Google Tag Manager compliance? +

Yes. I implement Google Tag Manager and consent architectures that satisfy GDPR, the DMA, and Consent Mode v2 without going dark on measurement. That includes compliant tag deployment, server-side tracking, and offline-conversion pipelines back to ad platforms. I have shipped compliance-critical rebuilds with zero tracking incidents.

How do you embed AI into marketing operations without breaking things? +

Start with an audit to find where the hours actually go, then ship one production automation end to end before scaling. Governance is built in from the first line, so AI speeds the team up without corrupting data or breaking campaign taxonomy. After each project the everyday work should be measurably faster and more consistent.

What engagement formats do you offer? +

Three: a fixed-scope audit or assessment sprint to map your stack and find the gaps, a project engagement to build or rebuild a specific system, and a fractional or advisory retainer to operate and evolve your marketing operations over time. We pick the format that matches the problem.

What size and type of company do you work with best? +

B2B SaaS, typically growth-stage to roughly $100M+ ARR, especially product-led or technically minded teams. That said, an early-stage company with a clear AI or platform mandate is a strong fit too. The common thread is a team that wants marketing operations treated as engineering.

Do you do hands-on implementation or just advisory? +

Both, and usually together. I am equally comfortable presenting an architecture to leadership and debugging the Marketo flow or writing the Python pipeline that afternoon. Engagements leave you with documented, durable systems your team owns, not a dependency on me.

What does it cost to work with you? +

It depends on scope and format. An audit sprint, a build project, and an ongoing retainer are priced differently. The fastest way to a number is a short intro call to scope the work. Book one and I will follow up with a clear proposal.

Let's build the system your go-to-market runs on.

Tell me where your marketing ops is stuck and I'll tell you what I would do about it. No pitch, just a real conversation about the work.