Make your LinkedIn read like you belong in the room.
Make your LinkedIn read like you belong in the room.
Most tech profiles don’t fail because the candidate is weak.
Most tech profiles don’t fail because the candidate is weak.
They fail because the signal is unclear.
We fix that.
They fail because the signal is unclear.
We fix that.
Context
In tech, LinkedIn isn’t optional. It’s often the first filter — before the resume, before the referral, before the interview.
We’ve reviewed thousands of tech profiles across sales and software engineering. The pattern is consistent:
Strong candidates with weak signal get skipped
Clear signal beats long experience
The best profiles stand out in seconds — not paragraphs
Tech Signal is a focused, async review designed to make your profile legible to hiring managers and recruiters who skim for a living.
Not louder.
Not longer.
Just clearer.
Vision: Signal > Promises
This is not a job guarantee.
And it shouldn’t need to be.
In tech hiring, signal matters as much as credentials:
Recruiters scan LinkedIn before opening resumes
Hiring managers use it to validate referrals
Weak profiles quietly disqualify strong people
Tech Signal exists to remove negative signal and clarify positive signal.
The goal is simple:
When someone lands on your profile, it should be obvious what level you operate at — and why you’re credible.
We don’t sell outcomes we can’t control.
We sell clarity in a system that rewards it.
What We Fix — Sales & GTM
Most sales profiles fail for the same reasons.
Buzzword-heavy headlines with no ownership signal
Metrics without scope or context
Roles written as activities instead of responsibility
Profiles that look identical to dozens of others
Hiring managers skim.
If deal size, ownership, and seniority aren’t obvious, the profile gets skipped.
We make those signals clear.
What We Fix — Software Engineering
Engineering profiles fail differently — but just as consistently.
Tech stacks listed without decision context
Experience written like tickets, not problems
No indication of system ownership or scale
Profiles that undersell real complexity
Recruiters scan for problem depth, not tools.
We reframe experience to make judgment, ownership, and complexity legible.
Fictional Before/After Example (Anonymized Composite)
Before — Sales
Headline:
Account Executive | SaaS | Revenue Growth | Results-Driven
Experience:
– Managed full sales cycle
– Worked with cross-functional teams
– Hit quota consistently
– Used Salesforce and HubSpot
After — Sales
Headline:
Account Executive — Mid-Market SaaS | $50K–$150K ACV | Full-Cycle Ownership
Experience:
– Owned mid-market pipeline from discovery to close across deals up to $150K ACV
– Closed against technical stakeholders in a competitive category
– Partnered with Product and CS to unblock late-stage objections
Before — Software Engineering
Headline:
Software Engineer | React | Node | AWS
Experience:
– Built frontend features
– Worked on backend services
– Fixed bugs
– Collaborated with team
After — Software Engineering
Headline:
Software Engineer — Frontend Systems | React | Performance & Scale
Experience:
– Owned frontend architecture for a high-traffic customer dashboard
– Led performance improvements reducing load time by ~30%
– Scoped tradeoffs between UX, performance, and delivery
Closing
Tech Signal is intentionally limited.
We take on a small number of reviews each week to keep quality high.
If your profile isn’t helping you, this will make that clear.