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About MxM Revenue Engineering

A new revenue engineering firm built on two decades of operating work.

MxM Revenue Engineering is new. The operating record behind it is not. The work on this site comes from prior in-house roles across Microsoft, HP/HPE, and Philips where forecast pressure, market fragmentation, and revenue-data drift were already real board-level problems.

Marius Murariu — MxM Revenue Engineering

Marius Murariu

Founder, MxM Revenue Engineering

Connect on LinkedIn

"I don't just advise.
I build."

Bucharest, Romania / Technical precision, senior-only delivery

Pipeline exposure
$4.2B+
governed

HP/HPE, Philips, and Microsoft CEMA.

Experience
20+
years

Enterprise sales ops and revenue governance.

Market complexity
107
countries

Microsoft CEMA: CEE + MEA.

Operating span
11
timezones

Cross-region planning cadence.

Why MxM Revenue Engineering exists

The gap between what the CRM says, what Finance expects, and what the bank eventually shows is where trust breaks. In large enterprise environments, that gap creates more than reporting friction. It distorts planning, slows executive decisions, and weakens the credibility of every forecast that follows.

MxM Revenue Engineering packages that operating experience into a narrower model for B2B SaaS: diagnose the number, install the controls, and keep the logic stable enough that leadership can defend it. The point is not another dashboard. The point is a revenue system that can survive scrutiny.

That is also why the firm is intentionally small. You are not hiring a team of generalists to build presentation layers around weak assumptions. You are hiring a senior operator to trace where the revenue model breaks and formalize the fixes.

// The operating model

Strategic RevOps
The Why

Pipeline governance, forecast logic, board narratives. The structural reasoning behind where revenue is and where it is going.

Technical Architecture
The How

SQL, Python, Salesforce config, data lineage audits, schema design. The engineering that makes the logic enforceable and verifiable.

Automation Engineering
The Build

n8n, Power Automate, UiPath. Eliminates manual reporting layers and enforces governance without adding headcount.

No junior bench. No offshore layer. No invented case studies.

// Tools I actually use

CRM & Sales Execution
SalesforceHubSpotPipedriveMicrosoft Dynamics 365SAPAltifySeismic
Analytics & Data
GongClariPower BITableauQlik SensePython (Pandas)Advanced Excel
Automation & Orchestration
n8nMake.comPower AutomatePower AppsZapierUiPathAutomation AnywhereCustom AI Agents

Career record and methodology

These roles are the source material for MxM Revenue Engineering. They are not disguised consulting case studies. They show the kinds of operating environments that shaped the methodology now being applied to SaaS revenue systems.

HP / HPE

Sales Strategy and Planning, EMEA Enterprise Group

2006–2017Foundation

Including HP contractor role from 2006

EMEA-wide planning and forecast operations

Featured outcome
±5%
Forecast Variance

Forecast recovery, pipeline data quality initiative, Altify rollout, Solutions Selling redesign

What the work covered
  • Forecast variance reduced from ±28% to ±5% through structured pipeline review cadence and stage-exit discipline across the EMEA Enterprise Group.
  • Data quality index improved from 65% to 91% through a systematic pipeline data quality initiative covering field hygiene, validation rules, and governance controls.
  • Redesigned the Solutions Selling methodology into a customer-focused framework, with exit criteria tied to customer outcomes, keeping sellers aligned with buying pace rather than internal stage definitions.
  • Directed segmentation, quota deployment, and target-setting in close collaboration with Finance and Sales Compensation, ensuring accuracy and transparency across the EMEA Enterprise Group.
  • Owned reporting governance and market share analytics for the EMEA Enterprise Group, ensuring VP-level executives had reliable, consistent data for business reviews and strategic decisions.

Philips

Sales Excellence Manager, CEE

2018–2022Standardization

Central and Eastern Europe commercial operations

Featured outcome
+33%
Target Attainment Lift

Process mining, Salesforce audit trails, Lean methodology (VSM, Kaizen, Root Cause Analysis, Pareto, Daily Management)

What the work covered
  • Process-mined Salesforce audit trails to identify stage movement patterns and seller-level weak points.
  • Built individual coaching plans per seller: spider-web skill model with targeted training and best-practice references.
  • Created ABC player segmentation: A player identification, B-to-A coaching paths, C player exit plans, cross-referenced against quota attainment.
  • Designed and executed E2E market segmentation: data sourcing, provider negotiations, standardization, 19-country rollout.
  • Applied Lean principles (Value Stream Mapping, Kaizen, Root Cause Analysis) to commercial process design across the entire CEE region.

Microsoft

Senior Sales Operations Manager, CEMA Security

2022–2025Peak

Microsoft CEMA security environment, $3B+ business-unit exposure

Featured outcome
−50%
Revenue at Risk Eliminated

5Q forecasting model, Dynamics 365, Power Automate, Power BI, Python analytics, AI insights engine

What the work covered
  • Reduced Revenue at Risk by 50% within 2 quarters by detecting and addressing emerging workload usage patterns before they became churn.
  • Developed Power BI and Python-based diagnostics to surface pipeline anomalies, standard deviation outliers, and trend shifts, enabling earlier interventions in QBR and ROB reviews.
  • Automated recurring reporting and renewal workflows using Power Automate and low-code tooling, reducing manual admin and freeing sales leaders to focus on coaching.
  • Achieved +25% lead-to-opportunity conversion lift through structured pipeline review and stage-exit discipline.
  • Built an AI-driven insights engine on existing data infrastructure; sustained ~40% year-over-year growth across the CEMA Security business unit.
View full experience on LinkedIn

This page does not present MxM Revenue Engineering client case studies. The metrics above come from prior in-house operator roles. As MxM Revenue Engineering accumulates client results, those will be added separately and labeled as such.

// Operating principles

Opinion vs. Math. Choose Math.

Build from the revenue seam

The most expensive problems usually sit between systems: CRM, contracts, billing, and cash. The work starts where those records stop agreeing.

Install controls before automation

AI and reporting tools multiply whatever data discipline already exists. The sequence stays the same: audit the logic, install the controls, then add automation on top.

Keep senior judgment in the room

This is a solo operator model. No junior bench, no offshore delivery layer, and no invented case studies. The promise is direct senior attention on the revenue model itself.

Math resolves what politics cannot

When a room is deadlocked on opinion, the move is to surface the metric that ends the argument. Data is a neutral arbitrator. The goal is never to win the argument. It is to make the right number impossible to dispute.

Where to go next

If your numbers do not reconcile, start with the mechanism, not the story.

The next step depends on whether you want to see the protocol, review the engagement model, or read the research behind the positioning. All three paths are linked here.

See the protocol
See the protocol

Understand how the Scorecard, Controls Install, and Governance sequence works.

Review pricing

Match the engagement model to your ARR stage and operating risk.

Read the research

Go deeper on forecast variance, CRM reconciliation, and AI readiness.

// Request Your Scorecard

Your board is tracking Revenue Variance.
Are you?

Three weeks to board-ready findings. No PII, no API access.

We don't share or sell your contact information.