Zeer Smart Working / intent / smart-working

Smart Working

201-500 employees·London, Greater London, United Kingdom·smartworking.io

Observed, not inferred · updated weekly

Buying intent

43 tracked signals | Top 15 topics are below | HR and Engineering are carrying most of it.

22signals · 30 days
36topics tracked
76.92%attributed to a team

Attention by team

LinkedIn activity, by team

Where Smart Working's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Hiring
Software Development
Spring Boot
Artificial Intelligence
Data Integrity
Next.js
HR
High38% of team HR to Hiring: High, 38% of this team's signals
High25% of team HR to Software Development: High, 25% of this team's signals
High25% of team HR to Spring Boot: High, 25% of this team's signals
HR to Artificial Intelligence: no signal
Medium13% of team HR to Data Integrity: Medium, 13% of this team's signals
HR to Next.js: no signal
Engineering
Engineering to Hiring: no signal
Engineering to Software Development: no signal
Engineering to Spring Boot: no signal
Medium50% of team Engineering to Artificial Intelligence: Medium, 50% of this team's signals
Medium50% of team Engineering to Data Integrity: Medium, 50% of this team's signals
Engineering to Next.js: no signal
Others
Medium33% of team Others to Hiring: Medium, 33% of this team's signals
Others to Software Development: no signal
Others to Spring Boot: no signal
Medium33% of team Others to Artificial Intelligence: Medium, 33% of this team's signals
Others to Data Integrity: no signal
Medium33% of team Others to Next.js: Medium, 33% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Hiring
LinkedIn
High volume
98%
last
12d ago
Software Development
LinkedIn
Medium volume
98%
last
19d ago
Spring Boot
LinkedIn
Medium volume
98%
last
19d ago
Artificial Intelligence
LinkedIn
Medium volume
96%
last
12d ago
Data Integrity
LinkedIn
Medium volume
98%
last
23d ago
Next.js
LinkedIn
Low volume
92%
last
12d ago
Defect Management
LinkedIn
Low volume
98%
last
23d ago
Software Developers
LinkedIn
Low volume
94%
last
19d ago
Error Handling
LinkedIn
Low volume
98%
last
12d ago
Google Tag Manager
LinkedIn
Low volume
92%
last
12d ago
Microservices
LinkedIn
Low volume
98%
last
23d ago
Web Forms
LinkedIn
Low volume
98%
last
24d ago
Tag Management Software
LinkedIn
Low volume
94%
last
12d ago
Data Governance And Management
LinkedIn
Low volume
98%
last
23d ago
Azure Monitor
LinkedIn
Low volume
92%
last
15d ago

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Who's active at Smart Working

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Engineering3 active
researching Quality Engineering
in
Senior ICresearching Minimum Viable Product (MVP)
in
researching Electric Vehicles
in
HR1 active
Senior ICresearching Hiring
in
Others1 active
researching Social Media
in

Primary products / business lines

LinkedIn company profile

Smart Working is Tech Talent as a Service - building high-performance global engineering teams without the friction, risk, or overhead of legacy hiring models. A low-churn model that ensures you get exactly the right talent you need - on time, every time. with long-term support. We hire exceptional engineers locally and offer stable, remote, and impactful roles helping build meaningful technology.

Top accounts researching Smart Working

names withheld on the public page

These are companies whose own people brought up Smart Working unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

66,174 companies · 318,882 people are researching Hiring

Smart Working's own team shows 4 signals on this topic. No one outside Smart Working has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Software Development20,654 cos · 98,574 people
  • Spring Boot760 cos · 2,945 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Smart Working.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 3 people; HR / Talent — 2 people

What's been said

public posts by Smart Working's team

No public post naming Smart Working has surfaced in the past year, so this is what Smart Working's own team is posting about publicly — their topics, in their words.

LinkedIn

From someone who has benefitted enormously from Steve Phillips ’s advice I couldn’t recommend using this tool anymore. Steve is a legend of the game!

Apr 2026
LinkedInArtificial Intelligence

In QA Journey till now, I’ve written countless test cases manually. Today, I took a different approach 👇 Built a Test Case Generator using Langflow by connecting: Chat Input Prompt Template (QA-focused logic) LLM (via Groq) Structured Output This setup allows me to: ✔ Generate consistent, enterprise-level test cases ✔ Include positive + negative scenarios ✔ Reduce repetitive manual effort What excites me the most is not just automation… but how easily we can now design intelligent QA workflows visually. This is just the beginning of blending QA + AI + Low-code tools. 👉 Curious — how are you leveraging AI in your testing workflows? #QA #SoftwareTesting #Langflow #AI #Automation #TestAutomation #QualityEngineering

Apr 2026

About this data. Smart Working (smartworking.io). Department attribution is 76.92%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries