Zeer Match Group / intent / match-group

Match Group

1001-5000 employees·Los Angeles, California, United States·mtch.com

Observed, not inferred · updated weekly

Buying intent

23 tracked signals | Top 14 topics are below | Product and Marketing are carrying most of it.

23signals · 30 days
14topics tracked
40%attributed to a team

Attention by team

LinkedIn activity, by team

Where Match Group'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.

Data Analytics
Product Management
Data Engineering
Hiring
Career Development
Artificial Intelligence
Product
Medium33% of team Product to Data Analytics: Medium, 33% of this team's signals
Medium33% of team Product to Product Management: Medium, 33% of this team's signals
Medium33% of team Product to Data Engineering: Medium, 33% of this team's signals
Product to Hiring: no signal
Product to Career Development: no signal
Product to Artificial Intelligence: no signal
Marketing
Marketing to Data Analytics: no signal
Marketing to Product Management: no signal
Marketing to Data Engineering: no signal
Marketing to Hiring: no signal
Medium100% of team Marketing to Career Development: Medium, 100% of this team's signals
Marketing to Artificial Intelligence: no signal
Operations
Operations to Data Analytics: no signal
Operations to Product Management: no signal
Operations to Data Engineering: no signal
Operations to Hiring: no signal
Operations to Career Development: no signal
Medium100% of team Operations to Artificial Intelligence: Medium, 100% of this team's signals
Sales
Sales to Data Analytics: no signal
Sales to Product Management: no signal
Sales to Data Engineering: no signal
Medium100% of team Sales to Hiring: Medium, 100% of this team's signals
Sales to Career Development: no signal
Sales to Artificial Intelligence: no signal
Others
High22% of team Others to Data Analytics: High, 22% of this team's signals
High22% of team Others to Product Management: High, 22% of this team's signals
High22% of team Others to Data Engineering: High, 22% of this team's signals
Medium11% of team Others to Hiring: Medium, 11% of this team's signals
Medium11% of team Others to Career Development: Medium, 11% of this team's signals
Medium11% of team Others to Artificial Intelligence: Medium, 11% 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.

Data Analytics
LinkedIn
High volume
96%
last
18d ago
Product Management
LinkedIn
High volume
96%
last
18d ago
Data Engineering
LinkedIn
High volume
94%
last
18d ago
Hiring
LinkedIn
High volume
98%
last
8d ago
Career Development
LinkedIn
High volume
98%
last
18d ago
Artificial Intelligence
LinkedIn
High volume
96%
last
18d ago
Marketing Campaign
LinkedIn
Medium volume
98%
last
18d ago
Go to Market
LinkedIn
Medium volume
98%
last
18d ago
Business Development
LinkedIn
Medium volume
98%
last
18d ago
Talent Development
LinkedIn
Medium volume
98%
last
29d ago
Innovation
LinkedIn
Medium volume
98%
last
25d ago
Conference
LinkedIn
Medium volume
98%
last
18d ago
Talent Management
LinkedIn
Medium volume
98%
last
25d ago
Human Resources -> HR Tech
LinkedIn
Medium volume
98%
last
23d ago

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Who's active at Match Group

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.

Others6 active
Executiveresearching Talent Development
in
researching Data Engineering
in
researching Data Engineering
in
Senior ICresearching Talent Management
in
Executiveresearching Artificial Intelligence
in
researching Career Development
in
Product1 active
Leadershipresearching Data Engineering
in
Operations1 active
VPresearching Artificial Intelligence
in
Marketing1 active
Directorresearching Career Development
in
Sales1 active
Directorresearching Hiring
in

Primary products / business lines

LinkedIn company profile

Match Group is on a mission to spark meaningful connections for every single person worldwide. Our portfolio of brands—including Tinder, Hinge, Match, OKCupid and more—meets people wherever they are in their relationship journey, increasing the likelihood of great dates and genuine connection. Since pioneering online dating over 20 years ago, hundreds of millions of people from all ages, races, ge

New capability sought

Employee posts (LinkedIn)

Hiring

Top accounts researching Match Group

names withheld on the public page

These are companies whose own people brought up Match Group 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.

6,839 companies · 34,174 people are researching Data Analytics

Match Group's own team shows 3 signals on this topic. No one outside Match Group has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Product Management5,605 cos · 17,697 people
  • Data Engineering8,055 cos · 34,411 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 Match Group.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Leadership — 2 people; Sales — 1 person; Marketing — 1 person; Product — 1 person; Operations — 1 person

What's been said

public posts by Match Group's team

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

LinkedIn

Tinder works better today, and a lot of that comes down to the product investments we’ve made to help people have better experiences and better conversations. I sat down with Hillary Paine to discuss what’s changed, from lowering pressure and increasing self-expression to building more trust into the experience, and why it’s starting to show up in the data.

May 2026
LinkedInArtificial Intelligence

Who Owns This? Many conversations about AI deployment follow the same shape. Capability first. Speed, accuracy, cost. Which workflows, which tools, what the rollout looks like. Accountability tends to come later. If it comes at all. As AI gets woven into more workflows, two failure modes become more likely —deference and diffusion. Neither involves bad intent. Both hollow out accountability just the same. There's a bigger debate underway about whether highly autonomous AI might eventually hold some form of accountability of its own. Worth following. This piece isn't about that horizon. It's about the no-regrets moves available right now — and the one question every AI deployment conversation should end with: We're not done until we know who owns this. Not who built it. Not who approved the budget. Who owns this. New on Substack today. Where does accountability sit in your organization's AI deployments right now — designed in from the start, or assumed and hoped for? Written with Claude Sonnet 4.6 https://lnkd.in/e9WW8739

May 2026
LinkedIn

Amazing opportunity! Reach out!

May 2026
LinkedInArtificial Intelligence

Hello. (And why I'm finally writing.) New chapter: after nearly three decades of building and sharing my thinking inside the rooms I was in, I'm hitting "publish" — and inviting a much bigger room into the conversation. My Substack is live — a place to share my POV on how AI is reshaping business, work, leadership, creativity, and daily life (to start with). The conviction underneath all of it: humans + AI is a better unit than either alone. I'm writing with AI as my partner — which, in miniature, is exactly the thesis. It's free. Come subscribe - I'd love to have you along as we figure this new world out together. (Written with Claude Opus 4.7) https://lnkd.in/gwWJuiEV

Apr 2026
LinkedIn

Just wrapped a trip through Seoul and Tokyo—always time well spent with our teams there. In Seoul, I spent time with our engineering and shared tech teams supporting Tinder , Azar and the broader portfolio. In Tokyo, I was with the Pairs and Tinder Japan teams. Strong groups, great energy, and a lot of thoughtful work happening across the board. What continues to stand out in both markets is how closely teams stay connected to their users. The focus on trust, local nuance, and helping people build meaningful connections really comes through. Thanks to the teams in Seoul and Tokyo for the warm welcome, and for all the work you’re doing. 🇰🇷 🇯🇵 Great trip.

Apr 2026
LinkedIn

Interesting to see this headline while I’m in Japan this week! In Kochi, the local government is helping cover the cost of certified matchmaking services — including platforms like Pairs — to make it easier for more people to meet and build relationships. Connection is becoming a societal priority, especially in countries facing high demographic pressure. In Japan, nearly 1 in 4 married people under 39 met their spouse online, a shift that would’ve been hard to imagine a decade ago. That’s where platforms like Pairs stand out. It’s built for people looking for something serious, and today it’s helping drive a meaningful share of marriages in Japan, with that momentum now extending into Korea and, as of this week, Taiwan. Encouraging to see more focus on helping people build real, lasting connections. https://lnkd.in/g5TSMWTt

Apr 2026
LinkedIn

Over the past few years, dating apps—including Tinder —haven’t evolved as quickly as how people, especially women, want to connect. That’s on us. If the experience isn’t working well for women, it’s a sign we need to do better. That’s where our focus is right now. That means: – Moving beyond purely swipe-based interactions – Creating more ways to connect that feel intentional, not gamified – Investing in trust, safety, and product innovation Dating apps aren’t going away, but the ones that succeed will be the ones that actually work for people. Appreciate the thoughtful piece, Kieran Smith The Financial Times https://lnkd.in/g8QsVcwJ

Apr 2026
LinkedInArtificial Intelligence

As AI accelerates, knowing who’s real online is becoming a core challenge. At Tinder , we’re partnering with Tools for Humanity to strengthen trust and authenticity on the platform, starting this journey in Japan where trust and safety are critical to human connection. https://lnkd.in/gpT__NRd

Apr 2026
LinkedIn

I love roles like this... innovative team, big mandate, real impact. BLK, Chispa , and Salams serve communities in important ways, and we’re looking for someone to help tell those stories and grow these brands thoughtfully. Apply here: https://lnkd.in/gztc8_Uc

Apr 2026

About this data. Match Group (mtch.com). Department attribution is 40%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries