GTM Engineering
Revenue ops that don't break at 10x. Lead gen, enrichment, scoring, nurturing, routing and reporting, wired across the whole acquisition stack instead of bolted onto one channel.
- n8n
- Make
- HubSpot
- Storyblok
- Supabase
- Airtable
GTM Engineer · Open to select projects
Nicholas
Budiharsa
I sit between go-to-market and engineering. I build the automations, AI agents, and internal tools that let marketing, sales, and CS teams ship without waiting for a sprint.
The numbers
100+
AI workflows — enrichments, automations, experiments
10+ MIN
saved per minute of work built into internal tooling
50+
n8n workflows running in production
What I actually do
Agentic AI Systems
Agents that absorb the boring 40%. Meeting notes into CRM records, content and translation pipelines, lead sourcing and qualification, with a deterministic spine underneath so they fail loudly instead of quietly.
- OpenAI
- OpenRouter
- Dust
- Slack
- custom APIs
Data & Experimentation
Decisions with an error bar attached. Cohort and funnel analysis in SQL, attribution modelling, and A/B tests that ship as lightweight product features. An MSc in econometrics behind all of it.
- Python
- SQL
- R
- VWO
- Metabase
Selected work
B2B logistics · 2025
AI workflows
Sales notes go in as text, voice or screenshots. Structured, verified CRM records come out.
Read the teardown →B2B logistics · 2025
Shipping product features from the growth team
Small, high-leverage features shipped by growth: banners, marketing site, tests, dashboards.
Read the teardown →B2B logistics · 2025
Internal tools for Sales, CS and Finance
One tooling core, several teams: CS capacity, bonus management, quote creation.
Read the teardown →n8nMakePythonSQLHubSpotSupabaseOpenAIStoryblokAirtableNode.jsRVWOMetabaseSlackLovablen8nMakePythonSQLHubSpotSupabaseOpenAIStoryblokAirtableNode.jsRVWOMetabaseSlackLovable