← Omkar Khadamkar
For anyone considering hiring me

Questions you’re probably about to ask

Six things a recruiter or hiring manager would reasonably want to know. Where there is a real gap, it is stated as a gap rather than answered around.

On this page · 6 questions · ~4 min
  1. 01Why did you leave Skyhigh?
  2. 02You’ve never managed anyone
  3. 03You’ve only worked in security
  4. 04These are your own measurements
  5. 05Can you actually build?
  6. 06The first ninety days

01Why did you leave Skyhigh?

My role was eliminated in a layoff on 28 August 2026. I am formally employed until 26 October and available immediately after — in practice, now.

That is the whole answer. I would rather you had it here than work it out from the date on my experience table.

02You’ve never managed anyone.

Correct, and it is worth being exact about it: no direct reports, ever. I have never owned a performance cycle and never made a hiring decision that was mine to make. Against a requirement for five years of managing designers, the honest number is zero.

What I have instead is a long record of getting design quality out of people under no obligation to give it to me — eleven vendors across four cities in my twenties, and five designers working on and against a platform I did not design all of. One of the three designers I coached has since been promoted to Senior.

The long version, gap stated first →

03You’ve only worked in enterprise security.

Mostly true. SSE, ZTNA, cloud firewall and reporting since 2022; networking security before that.

The parts that transfer are the parts you would be hiring for. Writing documentation a machine can build from is not security-specific. Neither is proving a system still holds after a model has touched it, nor getting it used by people who do not report to you. The field test is built on a deliberately generic system, rebuilt in a clean room so the method can be checked without anything proprietary in it.

And one piece is conventional product design with no AI in it at all: a layout argument I made against my own team’s preference, tested with 43 participants, now a filed US patent.

The clean-room method →   The product design piece →

04Everything here is your own measurement.

Yes. I would rather say it than have you find it.

The move from about 25% to 90% on-system was measured by me, on a system whose guidelines I wrote, judged by me, with no control group and no blind rater. It is a practitioner’s measurement, not a study. The forward-looking part of the cost model also assumes the system keeps working without me, which is untested since I left.

What I can offer instead of trust is that the method is public and reproducible. I rebuilt it from scratch on a generic system so anyone can re-run it — and doing that proved one of my own published claims wrong about why it worked. I published that too.

The cost case, with its concessions →   The claim that failed →

05Can you actually build, or only specify?

Build. The bulk-edit component on this site is a working web component with 53 passing tests and a public repository — you can operate it in the page rather than look at a screenshot of one. The field-test rig runs. This site is hand-written HTML with no build step.

What I am not is a production front-end engineer. I write code that settles a design question or removes a handoff, not code that ships to your customers. If the role needs the second thing, I am the wrong hire, and I would rather say so now than in week three.

Operate the component →

06What would you do in the first ninety days?

Measure before changing anything. The number I would want first is what it currently costs to produce one correct screen, end to end — because most arguments about a design system turn out to be arguments about that number, and most teams do not have it.

Then I would hand you the unit rather than my total. On the last system, making the rules machine-readable returned roughly 3.9 hours per designed screen. Multiply that by your volume, not mine. A number you work out yourself is one you believe; a number I work out for you is a pitch.

The honest caveat that travels with it: unit economics improve with scale, but execution risk grows with it. At forty designers, adoption variance becomes the dominant term and I have not measured it.

Anything not answered here is worth an email — omkarpkh@gmail.com.