Zeer Oscar / intent / oscar

Oscar

51-200 employees·Manchester, Greater Manchester, United Kingdom·oscar-recruit.com

Observed, not inferred · updated weekly

Buying intent

126 tracked signals | Top 15 topics are below | Engineering and Sales are carrying most of it.

64signals · 30 days
74topics tracked
65.12%attributed to a team

Attention by team

LinkedIn activity, by team

Where Oscar'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.

Artificial Intelligence
Hiring
Software Development
Go to Market
Business Analyst
Brand Strategy
Engineering
Medium27% of team Engineering to Artificial Intelligence: Medium, 27% of this team's signals
Low7% of team Engineering to Hiring: Low, 7% of this team's signals
Medium20% of team Engineering to Software Development: Medium, 20% of this team's signals
Engineering to Go to Market: no signal
Medium27% of team Engineering to Business Analyst: Medium, 27% of this team's signals
Medium20% of team Engineering to Brand Strategy: Medium, 20% of this team's signals
Sales
Medium27% of team Sales to Artificial Intelligence: Medium, 27% of this team's signals
Medium36% of team Sales to Hiring: Medium, 36% of this team's signals
Low9% of team Sales to Software Development: Low, 9% of this team's signals
Medium27% of team Sales to Go to Market: Medium, 27% of this team's signals
Sales to Business Analyst: no signal
Sales to Brand Strategy: no signal
HR
Low50% of team HR to Artificial Intelligence: Low, 50% of this team's signals
Low50% of team HR to Hiring: Low, 50% of this team's signals
HR to Software Development: no signal
HR to Go to Market: no signal
HR to Business Analyst: no signal
HR to Brand Strategy: no signal
Others
High53% of team Others to Artificial Intelligence: High, 53% of this team's signals
Medium33% of team Others to Hiring: Medium, 33% of this team's signals
Low7% of team Others to Software Development: Low, 7% of this team's signals
Low7% of team Others to Go to Market: Low, 7% of this team's signals
Others to Business Analyst: no signal
Others to Brand Strategy: no signal
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.

Artificial Intelligence
LinkedIn
High volume
96%
last
3d ago
Hiring
LinkedIn
High volume
93%
last
5d ago
Software Development
LinkedIn
Low volume
98%
last
5d ago
Go to Market
LinkedIn
Low volume
98%
last
5d ago
Business Analyst
LinkedIn
Low volume
98%
last
5d ago
Brand Strategy
LinkedIn
Low volume
98%
last
5d ago
Software Developers
LinkedIn
Low volume
94%
last
11d ago
E-Commerce
LinkedIn
Low volume
92%
last
5d ago
Engineering team
LinkedIn
Low volume
98%
last
3d ago
Node.js
LinkedIn
Low volume
98%
last
15d ago
Career Development
LinkedIn
Low volume
95%
last
3d ago
Software Migration
LinkedIn
Low volume
94%
last
18d ago
Talent Acquisition
LinkedIn
Low volume
98%
last
10d ago
Paid Search
LinkedIn
Low volume
98%
last
3d ago
Agentic AI System
LinkedIn
Low volume
98%
last
3d ago

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Who's active at Oscar

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.

Others9 active
researching Artificial Intelligence
in
Senior ICresearching Artificial Intelligence
in
researching Artificial Intelligence
in
Senior ICresearching Application Security
in
researching Incident Response
in
Senior ICresearching Talent Management
in
researching Node.js
in
Senior ICresearching IT Asset Management
in
VPresearching Governance, Risk Management, and Compliance (GRC)
in
HR4 active
researching Paid Search
in
Recruitment Consultant
researching Artificial Intelligence
in
Recruitment Consultant
researching IT Support
in
Recruitment Consultant
managerresearching Talent Acquisition
in
+ 3 more in HR
Sales1 active
Head of GTM | Cross-Border GTM & Talent Advisor | Executive Headhunter – North America / APAC / EMEA
Directorresearching Hiring
in
+ 1 more in Sales
Engineering1 active
Operations Administrator
researching Business Analyst
in
+ 1 more in Engineering

See everyone, not just the first 10

15 people across every department at Oscar, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Oscar is an award-winning, global recruitment consultancy that takes an ethical, sustainable and people-first approach. We provide highly-skilled technical and managerial candidates to hundreds of organisations - from corporations to start-up companies. With offices across Manchester, London, Austin, Tampa, Philadelphia and San Diego our specialist brands recruit top talent for organisations acr

New capability sought

Employee posts (LinkedIn)

Go to Market; Node.js; Sales Strategy; Software Developers; Software Migration; Talent Acquisition

Top accounts researching Oscar

names withheld on the public page

These are companies whose own people brought up Oscar 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.

129,094 companies · 649,540 people are researching Artificial Intelligence

Oscar's own team shows 16 signals on this topic. No one outside Oscar has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Hiring66,174 cos · 318,882 people
  • Software Development20,654 cos · 98,574 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.

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

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

HR / Talent — 4 people; Operations — 1 person; Leadership — 1 person

What's been said

public posts by Oscar's team

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

LinkedIn

Here is a pattern that is becoming impossible to ignore in software engineering hiring right now. 🤖 AI coding assistants have made senior developers more productive. One strong engineer using AI tooling can now deliver what previously required an additional junior hire. As a result, businesses are hiring fewer graduates and juniors, and the ones entering the market face a much higher baseline skills expectation. Junior roles are not disappearing. But they are narrowing. Businesses want juniors who have built real projects, who understand how code actually works rather than just how to prompt a model, and who can contribute without extensive ramp time. For hiring managers: if your junior pipeline has dried up, part of the problem is the spec. Expecting mid-level delivery from entry-level hires and offering entry-level salaries is a recipe for long vacancy timelines. For developers earlier in their careers: the premium is on fundamentals. If your foundation is built on autocomplete rather than understanding, that gap will show up in technical interviews. Build the basics properly. 🎯 The AI tooling shift is real. But it is sharpening the value of genuine engineering knowledge, not replacing it.

May 2026
LinkedIn

The cost of a vacant software engineering role is £850 a day. Most businesses are not treating it like that. The estimated cost of a vacant software engineering role in the UK in 2026 is approximately £850 per day. That includes lost output, project delays, increased load on your existing team, and the hidden cost of context-switching when work gets redistributed. And that doesn't include the mental turmoil it can put you through! Most businesses treat a slow hiring process as an unfortunate but unavoidable inconvenience. The maths says otherwise. Three patterns we see consistently in software engineering searches that take longer than they should. Salary bands set against benchmarks from 2023, which no longer reflect the market. Interview processes with five or more stages, which are filtering out strong candidates who have other options. Job specs that describe the perfect candidate rather than the likely candidate, producing a shortlist of zero. None of these are hard to fix. Update your salary benchmarks. Cut the interview process to three stages maximum (ideally 2, I'd recommend a 1st stage exploratory chat and a technical deep dive in the 2nd). Describe who you actually want rather than who you might theoretically want. The developers you are trying to hire are evaluating your process too. A slow, convoluted hiring experience tells them something about how decisions get made in your organisation. 📊 Fast, clear, and respectful hiring closes more offers than almost anything else.

May 2026
LinkedInArtificial Intelligence

AI isn’t just changing dev jobs… it’s changing the hiring experience 🤖 Worth a read 👉 https://lnkd.in/eu5z4ckM What’s shifting? 👉 Less “whiteboard coding” 👉 More real-world, AI-assisted tasks 👉 Faster, more candidate-friendly processes Because let’s be honest… The best engineers today aren’t coding solo for hours ❌ They’re collaborating with AI to get results faster ⚡ We’re already seeing it: 🧠 Hiring for thinking, not just coding 🤖 Assessing how candidates use AI ⏱️ Shorter, smarter interview processes If you’re a dev → show how you work with AI If you’re hiring → your candidate experience needs to evolve The companies winning talent right now? They’ve already adapted.

Apr 2026

About this data. Oscar (oscar-recruit.com). Department attribution is 65.12%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries