R

Riskified

eCommerce fraud prevention and revenue protection

Product Sales Specialist

Full-TimeUpdated on 10/23/2026
$150k - $170k+ Bonus target + Stock-based awards
Mid, Senior
New York, NY, USA
HybridNYC team works in a hybrid remote and in-office arrangement; occasional travel for merchant and internal meetings.
Sales & Account ManagementAccount Executive

About the job

Requirements
  • 3–5+ years of experience in a quota-carrying or customer-facing commercial role such as Sales, Solutions Engineering, Sales Engineering, or Product Specialist, ideally in ecommerce, payments, fraud, or risk.
  • A track record of selling new or early-stage products, or opening a new market, segment, or use case.
  • Ability to build a business case and sell value to multiple stakeholders, including senior leaders.
  • Technical fluency to discuss APIs, data flows, and ecommerce architecture credibly, and willingness to deepen that knowledge quickly.
  • Strong communication skills and ability to explain complex concepts clearly and persuasively to non-technical audiences.
  • An entrepreneurial, curious mindset; comfort with ambiguity, asking questions, and managing several merchant engagements at once.
  • Must be based in the United States and willing to travel occasionally for merchant and internal meetings.
Responsibilities
  • Drive deal progression for newer products on opportunities sourced by Account Executives and Account Managers, across new logos and the existing US merchant base.
  • Partner with Account Executives and Account Managers to uncover merchant needs beyond core fraud decisioning, and lead product-specific portions of the sales cycle.
  • Identify and qualify emerging use cases and new verticals, then help define positioning, the ideal customer profile, and the value story for each.
  • Deliver tailored demos and answer detailed questions from prospective and existing merchants across Fraud, Payments, Ecommerce, Customer Experience, and Finance.
  • Design and run proofs of value and pilots for new products, define success criteria upfront, and turn results into a path to contract and a reference story.
  • Partner closely with Product and Engineering, bringing structured merchant feedback and market requirements that influence the roadmap.
  • Turn early wins into repeatable assets, including talk tracks, discovery guides, return-on-investment frameworks, and case studies, so the wider go-to-market team can scale them.
  • Stay current on Riskified's expanding portfolio, the broader payments, fraud, and risk landscape, and competitors in each new market.
Desired Qualifications
  • Experience in ecommerce, payments, fraud, or risk is preferred.

About the company

R

Riskified

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Riskified protects eCommerce revenue by preventing fraud for online merchants. It uses real-time machine learning to approve or decline transactions before they reach the bank, and features Dynamic Checkout that adapts to each customer’s risk profile to reduce friction. It differentiates itself with pre-authorization ML decisions linked to revenue optimization and a risk-based checkout experience. The goal is to help merchants grow revenue and improve customer experience by preventing fraud and reducing false declines.

Company Size

501-1,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2013

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Simplify's Take

What believers are saying

  • August 12, 2026 revenue grew 22% to $98.7 million, fastest growth in four years.
  • Q2 2026 free cash flow reached $12.9 million, and buybacks cut shares 8%.
  • Marqeta launched Riskified’s preauthorization risk layer on August 6, expanding issuer distribution.

What critics are saying

  • Gross margin fell to 46% in Q2 2026 as lower-margin new merchants ramped.
  • The August 2026 Marqeta deal faces Stripe Radar and Adyen-native competition immediately.
  • If PSP-native tools win merchants, Riskified loses distribution, pricing power, and growth.

What makes Riskified unique

  • Riskified’s guarantee model underwrites chargebacks, aligning incentives with merchant approval rates.
  • Its global merchant network feeds machine-learning models across transactions and verticals.
  • ARIA and Marqeta integration deepen preauthorization intelligence across the checkout lifecycle.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Hybrid Work Options
  • Wellness Program
  • Company Equity
  • Professional Development Budget
  • Commuter Benefits

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

0%
TechDay
Oct 22nd, 2026
Riskified launches AI agent identity checks for merchants.

Riskified launches AI agent identity checks for merchants. Fri, 23rd Oct 2026 (Yesterday) Riskified has launched Agent Identity Risk Intelligence for merchants dealing with AI personal assistants in online shopping and customer service. The product is designed to identify the person behind an AI agent and return a real-time risk signal. The launch comes as consumer AI assistants begin placing orders, filing claims, seeking refunds and handling returns on behalf of shoppers. That creates a new challenge for retailers, which have traditionally relied on device, browser and account signals to detect fraud. The new offering extends Riskified's existing identity risk tools to interactions initiated by personal AI agents such as Meta's Muse, Instinct and similar services. It is designed to recognise when an order or service request comes from an AI assistant, link that request to the underlying consumer identity and assess whether the activity should be trusted. That reflects a shift in how merchants may need to view automated activity online. In the past, signals such as a single-use card, relay email address or lack of device history could indicate suspicious behaviour. With AI agents acting for legitimate customers, those same signals may no longer be enough to separate fraud from authorised delegation. Riskified's UK research points to early consumer interest in using such tools for post-purchase disputes. It said 37.9% of British shoppers would use an AI agent to draft a refund or credit complaint, while 23.4% would use one to initiate a bank chargeback if a return proved difficult. New risk model For merchants, the issue is moving beyond whether an interaction is automated to whether the automation has been authorised by a legitimate and trustworthy person. Riskified argued that newer standards for agent verification may confirm that an assistant has permission to act, but do not in themselves address whether the underlying account holder is genuine or whether the request is part of a fraud scheme. That distinction matters because an authorised agent could still be linked to account takeover, fake accounts or organised refund abuse. The system is intended to sit alongside emerging agent protocols by focusing on the identity of the person who granted the authority. "Agent protocols solve a real problem: merchants need a secure way to let a customer's assistant act for them. What they don't solve is whether that customer should be trusted. A fraud ring can authorize an agent as easily as a loyal shopper can," said Assaf Feldman, Chief Strategy Officer, Technology and Co-Founder at Riskified. "Riskified sits on top of those protocols and answers the harder question, using what our identity engine already knows about the person behind the agent, so merchants can welcome a good customer's assistant, decline a bad actor's, and notice the moment a real customer's agent starts doing something that the customer never would," Feldman said. Checkout to claims The product covers both checkout and post-purchase interactions. When standard device and browser telemetry is missing, as can happen when an AI assistant acts for a shopper, the system relies more heavily on identity records, network history and the behaviour of the agent itself. For refund and return interactions, it can engage directly with the assistant to confirm details or apply additional checks. The approach is intended to distinguish between a legitimate assistant acting for a real customer and a scripted process used by fraudsters. The first deployment will focus on merchants using Shopify, where orders placed through Meta's Muse already arrive marked as agent-originated, according to Riskified. Coverage will expand to other commerce platforms as standards for identifying agents become more widely adopted. Alongside the core launch, Riskified will support policy controls by agent type in its Decision Studio product. That would allow merchants, for example, to approve lower-risk agent orders tied to verified identities while sending higher-risk refund claims for review. The same risk category will also feed into the company's Zendesk integration, giving both human support staff and AI service agents visibility when a refund or return request comes through a consumer AI assistant. Fraud concerns The broader concern for retailers is that tools designed to help consumers manage shopping and after-sales service could also make organised abuse easier to scale. Riskified pointed to refund fraud groups that already use scripted claims involving missing items or empty boxes against large retailers. It argued that persistent AI agents could increase the volume and frequency of such activity by allowing bad actors to automate repetitive tasks across orders and support channels. In that environment, merchants may need fraud systems that assess both the source of the automated request and the identity behind it. Reporting on agent-originated traffic will be added to Riskified's Control Centre, including approval rates, fraud rates and claim abuse rates, with breakdowns by assistant where that information is available. The company said the data would help merchants compare the performance of agent-driven activity with the rest of their business. Agent Identity Risk Intelligence will be available through Riskified's existing APIs and its AI Agent Approve MCP server on AWS Marketplace.

The Fintech Times
Oct 14th, 2026
Etraveli Group rebrands Precision as standalone travel fintech arm.

Etraveli Group rebrands Precision as standalone travel fintech arm. Etraveli Group has formally rebranded Precision, previously known primarily as an internal risk management solution, as the group's dedicated travel fintech division. The repositioning, announced on 6 October 2026, broadens Precision's scope beyond fraud controls and gives it a commercial identity as a standalone B2B fintech provider serving airlines, online travel agencies and global travel businesses. The refreshed Precision launches with two named products. Precision Fraud Prevention uses machine learning models trained on travel-specific transaction data to help clients approve a higher proportion of legitimate bookings while containing fraud losses. Precision Travel Flexibility is a decisioning layer that allows travel companies to offer contextual cancellation and change options, adjusting eligibility and pricing at the individual booking level to lift attachment rates and protect margin. Etraveli says both products are designed around the structural realities of the travel sector, notably thin margins, high cancellation volumes and significant exposure to card-not-present fraud. Peny Rizou, chief fintech officer of Etraveli Group and head of Precision, framed the move as an external commercialisation of capabilities developed over two decades of internal use. "Over two decades, we have honed these capabilities internally. By evolving Precision into a specialised fintech arm, we are giving airlines, OTAs and travel partners access to travel-native intelligence that turns challenges like fraud and cancellation risks into scalable, profit-generating strategies." Precision already has named distribution relationships with Outpayce by Amadeus, Mastercard Gateway, Sabre and Checkout.com, which collectively represent substantial coverage of the global flight booking and payments infrastructure. Etraveli did not disclose revenue attributable to Precision, nor the split between internal group usage and third-party client contracts. Market context. The travel payments and fraud-prevention segment has attracted growing fintech interest as airlines and OTAs look to recover margin lost to high chargeback rates and the operational cost of flexible ticketing rules introduced widely during the pandemic period. Several specialist vendors, including Forter, Signifyd and Riskified, already compete in the transaction-level fraud decisioning space across verticals. Precision's stated differentiation is domain specificity: models trained solely on travel data rather than cross-vertical datasets, which the company argues improves approval accuracy for the irregular purchase patterns typical of flight bookings. The Travel Flexibility product places Etraveli in a narrower but expanding category. With regulators in the EU and UK maintaining or tightening consumer rights around flight disruption, airlines face commercial pressure to package flexibility as an upsell rather than absorb it as a liability. A decisioning layer that prices and distributes those options dynamically carries revenue-share potential that fraud tooling alone does not. Competitive positioning. Etraveli's structural advantage is captive transaction volume. The group processes flight bookings for Booking.com, Google Flights, Skyscanner and Kayak, and operates its own consumer OTA brands including Gotogate and Mytrip. That proprietary data estate underpins the machine learning claims in a way a pure-play vendor without comparable volume cannot easily replicate. However, the durability of that advantage depends on whether Precision can demonstrate model lift over general-purpose fraud tools to external clients who already have incumbent vendor relationships. Etraveli is backed by CVC Capital Partners and KKR. It employs more than 3,200 people across 11 offices and serves over 48 million travellers annually in more than 75 markets. The group did not indicate whether Precision is being positioned for a separate capital raise or eventual spin-out, nor whether the repositioning is accompanied by any change in headcount or cost structure within the division. AI level 1 of 5: written by Darlyn Ho; AI helped with tone, structure or wording; edited and signed off by Mark Walker, Editorial Director. What the levels mean

Yahoo Finance
Oct 8th, 2026
Riskified Launches Agent Identity Risk Intelligence: Know Who Is Behind AI Personal Assistants like Muse at Checkout and in Customer Service

Riskified Launches Agent Identity Risk Intelligence: Know Who Is Behind AI Personal Assistants like Muse at Checkout and in Customer Service

The Mirror Democrat and Savanna Times-Journal
Oct 8th, 2026
Riskified launches Agent Identity Risk Intelligence: know who is behind AI personal assistants like Muse at checkout and in customer service.

Riskified launches Agent Identity Risk Intelligence: know who is behind AI personal assistants like Muse at checkout and in customer service. * 2 hrs ago Riskified (NYSE: RSKD), a leader in digital fraud and risk intelligence, today announced Agent Identity Risk Intelligence, a new set of capabilities designed to identify the AI personal assistant behind an order or a customer service request, resolve it to a real consumer identity, and return a risk signal in real time. Agent Identity Risk Intelligence extends Riskified's AI intelligence platform to a new actor in commerce: the consumer's own personal AI agent. Consumer personal AI assistants such as Meta's Muse, Instinct, and dots in ChatGPT are moving from product discovery to action. Agents check out, keep working after the user closes the app, compare prices across sites by design, and proactively check for price-drop refunds and no-fee returns. Behaviors that were occasional for human shoppers, such as checking whether a price fell after purchase, canceling when a cheaper option appears, or reading a return policy to the letter, can become routine when an agent does them every day for every order. The question merchants face is no longer whether an interaction is automated, but who the automation acts for, and whether what it does on their behalf is behavior the merchant would accept from the person themselves. Authenticated is not the same as trusted. New standards such as the Personal Agent Protocol, introduced this month by Sierra and Meta with Shopify, Stripe, Walmart and others, may give merchants a secure way to confirm that an AI assistant is authorized to act on an account. That is necessary, and Riskified supports it. But authorization only answers the first risk question. An agent authorized by a stolen account is still an account takeover. An agent authorized by a throwaway fake account is still a first-order promotion abuser. An agent authorized by a refund-as-a-service ring, whose members hold real accounts and grant real permissions, is still fraud, now running at machine speed through the same support channels built to serve customers. The protocol proves the agent is authorized. Riskified proves whether the person who authorized it can be trusted. The coming age of delegated fraud. The same capability that lets a legitimate shopper delegate a purchase or a return also lets a fraudster delegate a fraud scheme. Refund-as-a-service fraud rings already sell scripted claims of empty boxes and missing deliveries against retailer support teams. In April 2026, a U.S. federal court sentenced eleven co-conspirators of the Artemis Refund Group, a ring that ran refund fraud as a subscription business: customers bought the goods, Artemis placed thousands of fraudulent orders against Amazon, Walmart, Target and Wayfair. Put a tireless, always-on AI agent in the hands of a fraud group like Artemis, and the scalability of refund fraud changes drastically. "Agent protocols solve a real problem: merchants need a secure way to let a customer's assistant act for them. What they don't solve is whether that customer should be trusted. A fraud ring can authorize an agent as easily as a loyal shopper can," said Assaf Feldman, Chief Strategy Officer, Technology and Co-Founder of Riskified. "Riskified sits on top of those protocols and answers the harder question, using what our identity engine already knows about the person behind the agent, so merchants can welcome a good customer's assistant, decline a bad actor's, and notice the moment a real customer's agent starts doing something that the customer never would." Announcing Agent Identity Risk Intelligence, part of Riskified's AI Agent Intelligence, first introduced in August 2025: * Agent Identity Risk Intelligence. Riskified will recognize when an order or customer service request comes from a personal AI assistant. Where an assistant or commerce platform provides a verified agent credential, Riskified will accept it. Either way, Riskified will connect the request to the person behind it, drawing on what the network already knows from billions of orders, claims and chargebacks. This recognition will first be available to merchants on Shopify, where orders placed through Meta's Muse already arrive tagged as agent-originated, and will extend to other platforms as agent identification standards take hold. When an assistant acts on a shopper's behalf, much of the device and browser telemetry that merchants have relied on is absent. Where that telemetry is missing, Riskified leans on identity and network history, the behavior of the agent, which signals intent, and in post-checkout interactions, such as refund requests, it can engage the assistant directly, confirming details or applying step-up friction that a legitimate assistant can satisfy and a script cannot. The result is a risk decision that reflects both the identity behind the agent and the agent's own behavior. The same signals will feed AI Agent Intelligence reporting in Riskified Control Center, which will show merchants their share of orders and claims arriving through personal AI assistants, whether verified or inferred, broken out by assistant, where one can be identified. Agent Identity Risk Intelligence will be available through Riskified's existing APIs and the AI Agent Approve MCP server on AWS Marketplace. * Agent Identity Risk Intelligence for Decision Studio. Riskified will support policies by agent type within Riskified Decision Studio, for example, auto-approving low-risk agent orders from verified identities while routing high-risk agent-originated refund claims for review. Control Center will report approval rates, fraud rates, and claim-abuse rates for agent-originated traffic alongside the rest of the business, so merchants can see whether that traffic behaves differently and tune their policies accordingly. * Agent Identity Risk Intelligence for Zendesk. The same identity risk category will flow into Riskified's integration with Zendesk, so both human agents in Zendesk Agent Workspace and Zendesk's Specialized AI Agents can see when a refund or return request arrives through a consumer AI assistant and act on the risk of the person behind it. Since August 2025, Riskified has taken a consistent position on agentic commerce. Rather than inserting itself between merchants and the platforms building agentic checkout, it invests in the layer every protocol, assistant, and support channel ultimately depends on: knowing who is on the other side of the interaction. Availability. Agent Identity Risk Intelligence opens to a limited beta for enterprise merchants in December 2026, with general availability expected to follow in 2027. Merchants interested in the beta can apply at riskified.com/lp/request-demo/. About Riskified Riskified (NYSE: RSKD) is a leader in digital fraud and risk intelligence. Many of the world's biggest brands and publicly traded companies rely on Riskified to stop fraud and abuse across the entire customer journey, from account creation to payments to disputes. Built and managed by a global team of risk analysts, data scientists, and researchers, Riskified's AI-powered platform analyzes the individual behind each interaction to provide real-time decisions and identity-based insights. Learn more at riskified.com. Media gallery

CMSWire
Sep 14th, 2026
Zendesk introduces Specialized AI Agents purpose-built for Your Business.

Zendesk introduces Specialized AI Agents purpose-built for Your Business. September 14, 2026 New Industry and Custom Agents understand your business, and take action across the systems you use to move your business forward. September 14, 2026 - Today, Zendesk introduced Specialized AI Agents, purpose-built for the work that matters most to a specific business or industry. They combine industry expertise with each company's unique knowledge, workflows and connected systems to take action and automate up to 80% of workflows. The launch includes Industry Agents, which come ready for common, high-value work in specific industries, and Custom Agents, which businesses build around their own processes, policies and expertise. Together, they help organizations trust AI with more complex work from start to finish. "The era of generic, one-size-fits-all AI agents is over. The best agents are specialists: deeply grounded in the work, the industry, and the business they serve," said Shashi Upadhyay, President of Product, Engineering and AI, Zendesk. "Specialized Agents give organizations the expertise and context to take on more complex work, earn trust, and drive quantitative impact." Specialized Agents are a key step toward Zendesk's Autonomous Service Workforce, first introduced at Relate 2026. The vision is simple: AI takes on more of the work while businesses remain in control of how that work gets done. Industry Expertise Out of the Box Industry Agents are built for the work businesses within a specific industry have in common. Zendesk is launching with commerce, where AI agents can help customers shop, manage orders, process returns and exchanges, resolve delivery issues, and handle refunds. Over time, Zendesk will expand Industry Agents to additional industries, including financial services, media, and technology, bringing the same industry-specific expertise to the work those businesses handle every day. Industry Agents combine Zendesk AI with the systems, policies, and expertise required to complete high-value workflows from start to finish. In commerce, that means connecting to systems such as Shopify, Narvar, Stripe, and Riskified to understand the customer's request, retrieve the right information, and take action without requiring customers or service teams to move between multiple systems. Zendesk is also working with Riskified to bring industry-leading risk intelligence directly into commerce workflows, helping retailers make smarter decisions about returns, refunds, and exchanges while reducing fraud and policy abuse. "Zendesk Industry Agents are the AI-first platform redefining retail service at scale," said Jeff Otto, Chief Marketing Officer of Riskified. "We're excited to embed our specialist AI agents and Identity Risk Intelligence so that every agent, AI or human, confidently knows who they're actually engaging with, creating delightful experiences for good customers while protecting retailers from fraud and abuse losses." Custom Agents for the Work Only Your Business Knows Not every workflow can come out of the box. Every business has its own policies, approvals and ways of operating. Using Agent Builder - Zendesk's no-code environment for creating, testing and deploying agents - businesses can now build Custom Agents attuned to how their business is run. Customers have already run more than 1 million Custom Agent executions within seven weeks of launch. Some are seeing automated resolution rates spike 10% post-deployment. Businesses define the job an agent owns, the systems it can use, the actions it can take and where human approval is required. Agents can also run proactively in response to business events or on a schedule, extending automation beyond customer-initiated requests. "We want to resolve issues from beginning to end so consumers can get back to using their machines every day," says Leora Machlis, Director of Global Customer Care at SodaStream. "Customizing our integrations helps us act quickly as customer needs change." "When a Toniebox isn't working, it's not just a technical issue - it's a toddler waiting," says Lauren Cooper, Director of Global Customer Happiness at Tonies. "Parents want answers now, not another hold or a long conversation." One Workforce. Any Service Platform. Industry and Custom Agents can run in Zendesk or in service environments including Salesforce and ServiceNow, giving businesses specialized AI without requiring them to replace the systems they already use. As agents complete more work, Zendesk continuously learns from the resulting outcomes, helping organizations understand what worked, where agents needed help and how future service can improve. Featured Research