Job titles are a broken proxy
The same work carries a dozen different titles across companies and countries. Searching for "Data Engineer" quietly skips the analytics engineer who has already built exactly the pipeline you need.
The Future of People Search
Search for people the way you actually think about them.
Boolean strings, title filters, and keyword matching were built for databases — not for hiring. The next generation of talent search reads intent: describe the person the role needs, in a sentence, and get people back instead of rows.
No Boolean syntax, no filter stacking — just the role in plain language.
1
Search bar replacing filters, tags, and Boolean operators
72hrs
Average time from first search to a ready-to-interview shortlist
50+
Countries of pre-vetted talent searchable in one place
The problem
Keyword search finds words. Hiring is about capabilities.
Boolean puts the work on the recruiter
You have to guess every synonym, spelling, and nested parenthesis before the system will help. Recall ends up depending on how clever the string was — not on how good the candidates are.
Time from open role to shortlist
Keyword & Boolean sourcing
3–4 weeks
Simera intent-based search
72 hours
Resource hub
Where talent search is heading next
A series on the shift from keywords to intent — what changes for recruiters, for the tools they use, and for the people who were invisible to the old interface.
Recruiting tech
The Search Bar Is Becoming the New ATS
The center of gravity in recruiting is moving from the database of records to the query box in front of it — and that changes which system recruiters actually live in.
Intent search
From Keyword Search to Intent Search: The Future of Finding Talent
What separates matching strings from understanding what a role genuinely requires — and why the difference shows up as recall, not as a nicer UI.
Search experience
Why Recruiting Search Still Feels Like Google in 2005
Exact-match keywords, ten results a page, and a lot of guessing. A look at why talent search stalled while the rest of search moved on.
Natural language
Natural Language Is About to Change How Recruiters Find People
What happens when "a bilingual controller who has closed books at an early-stage startup" becomes a valid query instead of a translation exercise.
Capabilities
Stop Searching for Job Titles. Start Searching for Capabilities.
Titles describe where someone has worked. Capabilities describe what they can do. Only one of the two predicts performance in your role.
Recruiter workflow
What If Recruiters Could Search for People the Way They Think?
Recruiters describe roles in sentences and trade-offs, then convert them into filters. That conversion step is where strong candidates quietly disappear.
Interface
Beyond Boolean: Why Talent Search Needs a New Interface
Boolean was a workaround for systems that could not understand meaning. Those systems are being replaced — and the syntax goes with them.
New category
The People Search Engine: A New Category in Recruiting Technology
Not a job board, not an ATS, not a résumé database. What a purpose-built people search engine is, and what it makes possible.
How it works
From a sentence to a shortlist in three steps
You already know who you are looking for. People search removes the step where you have to prove it in query syntax.
1
Describe the person you need
Write it the way you would say it to a colleague — the work, the context, the constraints. No operators, no filter stack, no list of title synonyms.
2
Search reads intent, not just words
The query is mapped to capabilities, adjacent titles, tools, and industry context — so the analytics engineer who never used your keyword still surfaces.
3
Get a ranked, explainable shortlist
Every candidate comes back with the evidence behind the match, so you can refine in plain language instead of rebuilding the search from scratch.
Why Simera
A search engine built for people, not for records
Natural language queries
Ask for what the role needs in a sentence. The syntax is English, and the results move as you refine it.
Capability-based matching
Candidates are indexed by demonstrated skills and context, not by whatever title their last employer happened to use.
Explainable ranking
Each result shows why it matched, so a shortlist is something you can question rather than a black box.
A vetted, global talent pool
Search across pre-screened professionals in 50+ countries, with the hiring and compliance path already mapped.
"Good recruiters already know who they're looking for. Search should stop making them prove it in Boolean."
Try People Search
FAQ
Common questions about people search
What is a people search engine?
It is a search layer built specifically for finding professionals. Instead of matching keywords against stored documents, it interprets what a role requires and ranks people by demonstrated capability.
How is this different from Boolean search on a job board?
Boolean returns what your string literally asked for. Intent search returns what your role actually needs — including strong candidates whose profiles never used your exact wording.
Do I have to learn a new query syntax?
No. Describing the role in ordinary sentences is the interface. The more context you give — seniority, tools, industry, market — the sharper the results.
Can I still use filters?
Yes. Filters are still useful for hard constraints like location or availability. The change is that they narrow a search rather than being the only way to start one.
Does searching by intent mean fewer results?
Usually the opposite. Keyword search silently drops qualified people who describe their work differently. Understanding intent widens the pool while keeping the ranking relevant.
Ready to search for people the way you think?
Run a search in plain language, or talk to a hiring expert about the roles you are trying to fill.
