Riskified
Buying intent
90 tracked signals | Top 15 topics are below | Engineering and Marketing are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere Riskified'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.
Topics being researched
30-day windowEvery 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.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at Riskified
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
See everyone, not just the first 10
30 people across every department at Riskified, plus a LinkedIn profile link for each.
Primary products / business lines
LinkedIn company profileRiskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists a
New capability sought
Employee posts (LinkedIn)Cross-Border Solutions; Data Engineering; Ecommerce Fraud; Follow-Up; Open Source
Top accounts researching Riskified
names withheld on the public pageThese are companies whose own people brought up Riskified 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
Riskified's own team shows 20 signals on this topic. No one outside Riskified has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Agentic AI System30,546 cos · 119,561 people
- AI Agent Software22,142 cos · 74,480 people
Buyer profile
company size · seniorityCompany 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.
Buying committee functions
Employee job titles (LinkedIn)Engineering — 11 people; Sales — 7 people; Marketing — 4 people; Product — 2 people; Data / Analytics — 1 person
What's been said
public posts mentioning RiskifiedUp to 9 public excerpts naming Riskified from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.
After 11 years, I’m wrapping up my time at Riskified. Joining a 30 person seed stage company in Tel Aviv would seem like a big risk, but once you met the team and felt the passion and intensity, it’s no surprise to see what we’ve accomplished. I’m honoured to be part of the journey scaling from $2M to $350M+ in revenue, becoming a publicly traded company on the NYSE and working with the most sophisticated enterprises in risk, fraud and payments. It’s been a privilege to be part of this team throughout the years. I have too many amazing and fun stories together - taking calls in a janitor closet because we outgrew our office in months (good problems), sharing a 1-star hostel room with colleagues when an entire city runs out of hotel rooms (yes, this apparently can happen), driving from Toronto to NYC overnight because all the flights got cancelled (thanks to my colleagues who didn’t have licenses, I got to drive the entire way..), and so much more. Finally, thank you Eido Gal and Assaf Feldman (and everyone along the way) for always supporting me and trusting me throughout the years. I'm beyond proud of what we built together. And I'm ready for what's next. More details coming soon.
May 2026Most CX teams are already making risk decisions. They just don’t call them that. Refund approvals Item not received claims Return exceptions All handled after the transaction, often without real context of who the customer is. That’s where a lot of the leakage actually sits ⚠️ This is where teams spend hours reviewing cases without the full context to make quick decisions. What’s starting to change is simple: The same identity signals used at checkout are beginning to show up inside CX workflows. So instead of treating every case the same trusted customers move fast repeat abusers get caught earlier Less manual work Less second guessing Less loss hiding in support queues Fraud never really stopped at checkout. It just moved to where no one was looking. #fraudprevention #ecommerce #customersupport Riskified
Apr 2026Budget pressure / cost-cutting signal
Earnings call; SEC filingsCost of Revenue: 16,65,66,000 USD