About
I build hiring systems — and run the critical searches.
I'm Gamal Aly — a principal recruiting operator who works where hiring decisions have an outsized effect on the business. I translate company plans into roles, run the searches that build the brand, and build the infrastructure that makes better hiring repeatable.
Across a decade-plus of recruiting, I've worked from IC to executive across engineering, product, data, design, finance, and go-to-market, inside Series-stage startups and at enterprise scale. That range lets me connect the immediate search to the organization it needs to become.
I stay close to the work because the system is only credible if it produces better hires. That means sourcing, evaluating, and closing people myself while improving the standards, automation, and decision-making that shape every search around me.
Principal Scope · Hands-On Delivery
Hands-on where it changes the outcome.
I stay close enough to the work to see where a search is breaking, solve it directly, and turn what works into a stronger recruiting system for every search that follows.
Hiring architecture
Turning the business plan into roles, sequencing, scorecards, and an operating model that makes clear what the company needs to hire and why.
Critical search execution
Taking on consequential and ambiguous searches from IC to executive, then sourcing, evaluating, and closing the people who can move the plan forward.
Systems & automation
Building the workflows, tooling, and AI-enabled infrastructure that improve speed and signal without removing judgment from the process.
Hiring standards
Giving everyone involved in hiring a clearer way to define the bar, assess evidence, make decisions, and learn from the people who ultimately succeed.
Operating Principles
The standards behind the work.
The principles I use to connect individual searches to the quality, speed, and operating discipline of the broader hiring system.
Hire to the business plan.
Every role should map to an outcome the company needs to produce, not simply to a headcount target. The first responsibility is making the connection between the plan, the organization, and the person the business genuinely needs next.
Quality of hire is the scoreboard.
Speed, volume, and process efficiency are useful signals, but they only matter when they improve the odds of putting the right person in the right seat and seeing that person deliver the work they were hired to do.
Speed and rigor reinforce each other.
A disciplined process should create clearer decisions, not more rounds. Strong calibration, focused evidence, and decisive communication let a company move quickly without lowering the bar or losing the people with the most options.
Build the engine, not only the hire.
A critical search should leave the company better equipped for the next one. The scorecards, sourcing systems, automation, decision standards, and candidate trust built along the way should continue working after the seat is filled.
Hiring at a Startup
Building the company through hiring.
Startup hiring is organizational design under pressure. The earliest decisions shape how the company works, what it can execute, and which kinds of people it will attract next, so the job is not simply to fill roles quickly; it is to build the right organization in the right order without letting urgency erode judgment.
The first hires set the operating standard.
At ten or twenty people, every hire changes the average of how the company thinks, executes, communicates, and attracts the next group. The useful question is not only whether someone can do the job in front of them, but whether the company would become stronger by multiplying the way that person operates.
Hire to the next twelve months.
A startup is not filling a stable organization; it is assembling the capabilities required to make the next version of the business possible. Starting with what must become true over the coming year produces better roles, better sequencing, and fewer expensive hires that were never connected to a real outcome.
Build the engine before urgency takes over.
The quarter a company suddenly needs ten people is the worst time to decide how hiring should work. Clear scorecards, focused interview loops, sourcing systems, candidate communication, and sensible automation are easier to build before the pressure arrives, and they give the company a way to move quickly without allowing quality to drift.
Execution with clarity.
60 hrs · $25K+
Saved per open role and in interview spend with AI-enabled features using custom Agentic ChatGPT flows
95%
Avg offer approval rate at Earnest
90%
Avg outbound messaging funnel conversion
65K→400K+
Annual inbound applications grown through process redesign
1%→10%+
Qualified applicant conversion improvement
<60 days
To close VP Engineering & VP Product searches
165→56 days
Time-to-hire reduction leading recruiting at OkCupid
46%→82%
Offer acceptance lift while Head of Talent at Fi
Hired across the growth curve.
From Series-stage startups to enterprise scale — I've personally run executive and IC searches across engineering, product, data, design, finance, and go-to-market.