Building Predictable Revenue Operations at Scale
Thirteen years building P&L ownership, org design, and cross-functional alignment across B2B SaaS companies from $20M to $250M+ ARR.
Thirteen years building P&L ownership, org design, and cross-functional alignment across B2B SaaS companies from $20M to $250M+ ARR.
Representative results across multiple SaaS organizations.
Organizations Where I've Built Revenue Operating Systems
Track Record
Repeatable operating patterns applied across 4 companies, 6 teams, and 13+ years — each one built to reduce delivery risk, protect margin, and accelerate time-to-value.
LogicMonitor
Services shifted from cost center to revenue engine.
LogicMonitor
Reported to: VP of Customer Success | Scope: P&L ownership, org design, executive reporting
Loss-making services organization running 90+ day onboarding cycles with no utilization governance or structured delivery model.
–$300K → profitable services P&L
70%+ gross margin achieved
93% retention during transformation
96% CSAT across enterprise delivery
Services shifted from cost center to revenue engine.
FirstUp
Migration became a confidence lever, not a churn event.
FirstUp
Reported to: VP of Professional Services | Scope: Migration strategy, cross-functional governance
Customer resistance during platform migration post-merger threatened retention. Risk perception — not technical complexity — was driving hesitation.
20% → 85% migration adoption
98% migration success rate
95% customer retention
75% reduction in support tickets
Migration became a confidence lever, not a churn event.
4ME
Growth became structured — not reactive.
4ME
Reported to: CTO | Scope: Delivery operations, capacity planning, executive dashboards
Rapid enterprise growth without pipeline-aware capacity planning. Growth velocity outpaced delivery governance.
Reduced reactive hiring patterns
Increased margin predictability
Strengthened Sales–Delivery alignment
Growth became structured — not reactive.
Augmentry.ai
Built the delivery operating system that turned an engineering team into a scalable technical services organization.
Augmentry.ai
Reported to: CEO | Scope: Engineering operations, delivery methodology
Early-stage AI company needed to scale from prototype to enterprise delivery. No repeatable delivery process, no integration playbooks, no utilization visibility across the engineering team.
98% first-pass implementation success rate
150+ production integrations delivered under governance
Engineering utilization visible to leadership for the first time
Company operationally positioned for enterprise sales motion
Built the delivery operating system that turned an engineering team into a scalable technical services organization.
Every engagement follows the same risk-reduction methodology — diagnose before you prescribe, measure before you scale, govern before you grow.
Days 0–30
Understand the system before changing it
Days 31–60
Reduce risk and create predictable delivery
Days 61–90
Build the operating infrastructure that compounds
This is the same methodology I've applied across LogicMonitor, FirstUp, 4ME, and Augmentry — adapted to each company's stage, scale, and constraints.
ENDORSEMENTS
Farjad possesses the rare ability to go extremely deep into the details with his team and communicate those same details in a way where executives can understand.
Shazad Brohi
Engineering Leader
He helped us build an incredible and world-class organization at LogicMonitor.
Hass Johnson
Regional VP Enterprise, LogicMonitor
He never said we couldn't — he said how can we.
Ryan Reynolds
Operations Team Lead, LogicMonitor
THOUGHT LEADERSHIP
Practical frameworks on AI strategy, technical leadership, and scaling engineering organizations.
How to align AI initiatives with revenue goals and create measurable business impact in 90 days.
Essential frameworks for scaling technical organizations and maintaining velocity through growth phases.
The systematic approach to building and optimizing revenue-generating systems that scale with your business.
ABOUT
I build the operating infrastructure that makes technical revenue predictable. Across six organizations and 13+ years, the pattern has been consistent: I enter companies where delivery has become the bottleneck to growth, diagnose the structural misalignment, and build systems that turn fragmented execution into disciplined, margin-positive operations.
I join organizations at inflection points as a full-time executive leader — owning the P&L, designing the org, hiring and developing the team, and partnering with Sales, Product, and Engineering leadership to create durable alignment. My approach is rooted in observation before action, reversible improvements before structural change, and measurement before scaling.
B.S. Computer Engineering, Michigan State University. AWS Solutions Architect Professional. Based in Austin, TX.
Author of The Executive's Guide to Large Language Models (Amazon, 2024).