Mishaal Murawala

• Built the operating model behind a one-person GTM function after a year of testing which marketing work actually requires a person: roughly 80–90% is repetitive and data-bound, and the constraint is context, not capability.
• Deliver the output of a full GTM team as a single senior operator, powered by the Ascend GTM Platform — 50+ SaaS tools (HubSpot, Salesforce, Google Ads, GA4, SEMrush, Claude) wired into one real-time API with optimization loops running in the background. Current: Kahuna Workforce (Resolve Growth Partners), Point Field Partners (AI/architecture advisory retainer). Earlier advisory work with Ostro Health (acquired by Veeva Systems) and Codiac.io.
• Run a 90-day install model: first working system shipped in week one, demand engine live by Day 30, attribution by Day 60, written-playbook handoff by Day 90 — drawing on a track record of ~10:1 ROI on marketing-sourced pipeline.

• Scaled product-led growth from 17% to 40% of revenue, $20M incremental, through self-serve onboarding, loyalty pricing, and automated conversion funnels — the first successful PLG motion in electronics manufacturing.
• Owned marketing and complete revenue operations (typically three separate executive roles), generating $200M in marketing-sourced pipeline (80% of total) at ~10:1 ROI with a 3-person team while holding 92% forecast accuracy.
• Scaled ARR from $24M to $53M (120% growth in 40 months) via AI-driven demand forecasting, automated pricing optimization, and margin analysis — improving gross margin 25 percentage points.
• Improved sales cycle velocity 45% via CRM automation, lead scoring, and data governance; managed the $8M P&L and presented monthly unit economics to the Edison Partners-backed board.

• Delivered $60M in pipeline and drove 21% EBITDA improvement during the Providence Equity ownership transition by establishing an enterprise ABM program that increased ACV 25% and accelerated deal velocity 40%.
• Repositioned marketing from cost center to primary revenue driver, sourcing 75% of pipeline and implementing rigorous attribution models tying spend directly to revenue.
• Shifted the board narrative and investment priorities through data-driven performance reporting.

• Increased marketing revenue contribution from 40% to 70% of the $1.2B business unit by rebuilding global demand-generation infrastructure and implementing multi-touch attribution across 40+ country markets.
• Managed the $4M global demand budget with full P&L accountability, achieving 5:1 ROI and presenting quarterly business reviews to Fortive executive leadership.

• Led Salesforce CRM implementation and Marketo marketing-automation buildout, improving sales productivity 20% and establishing the foundation for data-driven revenue operations.

Built $20M of incremental revenue from scratch in a category where every competitor still sold exclusively through a quota-carrying rep. No self-serve motion existed in electronics manufacturing — no vendor to copy, no industry playbook. Designed and shipped the whole thing end to end: onboarding, pricing tiers, and automated conversion funnels.

PLG share grew from 17% to 40% of $53M ARR. Gross margin improved 25 percentage points over the same period.

Built because clients needed a demand gen leader and a RevOps analyst — but rarely had budget for both. Connects to any tool with an API or MCP connector — HubSpot, Salesforce, Google Ads, GA4, SEMrush, and everything else in the stack — and runs them as one operating system, with AI optimization in the background. One person covers what most companies staff as 5–7 separate roles.

Deployed as the primary revenue operating system across four client engagements spanning PE-backed SaaS, venture-backed healthcare, and a private-equity family office.

Built because the alternatives were a six-figure vendor or a BI team they didn't have. Stitched CRM event logs, marketing automation touchpoints, and paid-media spend into a single pipeline model that ran automatically and replaced every revenue spreadsheet the company had relied on since founding.

92% forecast accuracy maintained across $200M in marketing-sourced pipeline for three years. Still running.