SYSTEM_STATE: AUTHORITATIVE

JACOB MOHAN

GTM ENGINEER | AI AUTOMATION | REVENUE SYSTEMS
01 / SYSTEM PHILOSOPHY

I design GTM systems that structure acquisition, pipeline, and conversion into predictable revenue workflows. My work focuses on building systems that produce outcomes, not just implementing tools.

Current Focus

AI-driven GTM systems across CRM, pipeline automation, and conversion workflows.

Core Stack

HubSpot, Salesforce, Apex code, LWC, Agentforce, APIs, n8n, LLM agents, Python/Node.js, scraping, analytics pipelines.

What I Build

Systems for lead sourcing, enrichment, segmentation, messaging, A/B testing, and CRM-driven revenue workflows.

Jacob Mohan portrait
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02 / DEPLOYED_SYSTEMS
SYSTEM_01

AI-Driven GTM System (Valhallan Esports)

GTM Architecture Subscriber Growth
Problem

Inconsistent subscriber growth and fragmented marketing workflows across channels.

System

Designed GTM system integrating landing pages, email campaigns, segmentation, and multi-touch workflows with AI-assisted messaging.

Outcome

Increased subscriber conversion ~30% | Reduced onboarding time ~60% | Established structured pipeline across acquisition to conversion

SYSTEM_02

GTM Automation Engine

Lead Sourcing A/B Testing LLM Pipeline
GTM Automation Engine interface screenshot
Problem

Manual lead sourcing, outreach, and A/B testing fragmented across tools.

System

Built AI-driven pipeline for lead sourcing, scoring, enrichment, and outreach with deterministic A/B testing and event-based tracking.

Outcome

Structured outbound pipeline with measurable performance (CTR, open rate, variant testing) | Cost-aware enrichment optimizing CAC and campaign efficiency

SYSTEM_03

Contractor Intelligence GTM System

Salesforce-Native GTM Agentforce Workflow Contractor Intelligence
Contractor intelligence Salesforce-native GTM system preview.
Problem

Contractor SaaS teams often have scattered GTM signals across websites, reviews, permits, product usage, call notes, billing events, and CRM records, making it hard for sales, marketing, and CS teams to act with the right context.

System

Built a Salesforce-native GTM intelligence proof-of-concept that uses Agentforce, Apex actions, a backend enrichment API, and CRM-persisted workflow state to turn contractor market signals into structured account intelligence, qualified Lead creation, reviewed outreach drafts, follow-up tasks, and rep-facing intelligence panels.

Outcome

Created a working prototype for contractor search, enrichment, ICP scoring, durable Salesforce context, human-reviewed outreach, follow-up task creation, and account intelligence that can extend across outbound, PLG conversion, customer expansion, churn prevention, routing, and manager workflows.

03 / CAPABILITIES

GTM Systems

CRM workflows, pipeline automation, segmentation, A/B testing, campaign analytics

AI Systems

LLM agents, prompt design, RAG pipelines, model evaluation

Engineering

Python, Node.js, APIs, scraping, Supabase, automation pipelines

04 / PROFESSIONAL_HISTORY

GTM Engineer | AI Automation & Revenue Systems - Tendem

JAN 2026 — PRESENT Remote
  • Built AI-driven GTM workflows across CRM, segmentation, and campaigns
  • Designed automation systems improving pipeline consistency and efficiency

Search Quality & Ranking Evaluation Specialist - RWS Group

AUG 2024 — PRESENT Remote
  • Evaluated search ranking using Needs Met and Page Quality frameworks
  • Assessed content trust, authority, and alignment with user intent

LLM Evaluation & Model Alignment Specialist - Outlier Scale AI

JAN 2022 — JAN 2025 Remote
  • Evaluated and generated training data across chat, RAG, and multimodal tasks
  • Applied structured evaluation methods to improve model reliability