Full-Time
Posted on 8/15/2025
Customer engagement platform for cross-channel messaging
$85k - $105k/yr
Chicago, IL, USA
In Person
Braze is a customer engagement platform that helps brands build ongoing relationships with customers by coordinating real-time, cross-channel messages across email, push, in-app, SMS, and more. It collects data from any source, segments audiences, and orchestrates customer journeys so the right message reaches the right person at the right time. It also uses AI-powered experimentation and optimization to test and improve campaigns. Braze differentiates itself with a data-driven, multi-channel approach and a strong emphasis on journey orchestration and real-time engagement, serving a wide range of clients from small businesses to large enterprises and operating globally. Its goal is to enable brands to deliver relevant, personalized experiences at scale, across channels, to drive lasting customer relationships.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2011
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Competitive compensation that includes equity
Generous time off policy to balance your work and life, including paid parental leave
Competitive medical, dental, and vision coverage for you and your dependents
Collaborative, transparent, and fun loving office culture
Tokyo Gas bets on ai-driven engagement with Braze and Databricks integration. Last updated: April 3, 2026 11:29 am Tokyo Gas is changing how it talks to its customers. On April 1, the company said it is integrating Braze's customer engagement platform with the Databricks Data Intelligence Platform. This is not just another IT upgrade. It is part of a bigger shift happening inside traditional utility companies. Competition in Japan's energy market has changed. Electricity and gas are no longer locked down markets. Customers have options now. That means experience matters more than before. Communication matters more. Timing matters more. Tokyo Gas is trying to move faster on that front. - Advertisement - Building something that actually connects data and action. At the center of this setup is a simple idea. Stop keeping data and engagement separate. Braze handles the engagement side. It pulls in customer data from different sources and allows teams to run personalized campaigns across apps, websites, and email. It works in real time. Messaging can change based on behavior almost instantly. Databricks sits on the data side. It handles large scale analytics and machine learning. It processes huge volumes of customer data without forcing teams to constantly move it around. By connecting the two, Tokyo Gas is trying to close the loop. Data feeds into campaigns. Campaign results feed back into data. Then the system adjusts again. This is not a one-time setup. It keeps running. Keeps learning. Keeps updating. For a company dealing with millions of customers, that kind of loop matters. - Advertisement - Making customer experience feel less generic. One of the immediate changes is consistency across channels. Customers interact in different ways. Mobile apps. Websites. Emails. Sometimes physical services. Usually these touchpoints feel disconnected. Tokyo Gas wants to fix that. Now communication can be shaped around individual behavior. Usage patterns. Preferences. Past interactions. Instead of sending the same message to everyone, the system adjusts per user. In Japan, expectations around service quality are high. People notice inconsistency quickly. So this kind of alignment is not optional anymore. - Advertisement - There is also a business angle. Tokyo Gas is not just selling gas and electricity anymore. It is looking at additional services. Home related offerings. Energy efficiency solutions. Lifestyle services. Personalized engagement makes cross selling easier. But only if it is done right. Otherwise it feels like spam. Letting marketers move without waiting on IT. Another shift here is who actually runs things. Braze uses a graphical interface. Marketers can design campaigns, segment users, and adjust workflows without needing engineers every time. That changes speed. Instead of waiting for IT teams to implement changes, marketing teams can test ideas directly. Launch something. See results. Adjust. Repeat. This tightens the PDCA cycle. Plan. execute. check. act. It happens faster. For a company like Tokyo Gas, this is not just about tools. It is a shift in how teams operate internally. What this says about Japan's tech direction. This move fits into a larger pattern. Traditional industries in Japan are waking up to the fact that data is not just something you store. It is something you use actively. In real time. Utilities, manufacturing, finance. All of them are starting to invest in platforms that combine data, AI, and customer interaction. There are a few clear shifts here. Data is becoming central. Not a byproduct. AI is moving into everyday operations. Not just experiments. And tools are becoming easier to use. No code and low code setups are filling the talent gap. Japan does not have unlimited advanced IT talent. So systems have to adapt to that reality. What it means for businesses. If you are operating in Japan, this is a signal. Companies that connect their data platforms with customer engagement systems will move faster. They will understand customers better. They will react quicker. That leads to better retention. Higher lifetime value. More opportunities to sell additional services. There are also deeper use cases that can come out of this. Predictive maintenance. Dynamic pricing. Personalized recommendations tied to real usage data. But there is a tradeoff. More data. More AI. More responsibility. Governance matters. Privacy matters. Security matters. If trust breaks, the whole system falls apart. Not just a tech upgrade. What Tokyo Gas is doing is not just plugging in new software. It is changing how it operates. Data, AI, and customer engagement are being tied together into one system. Not separate layers anymore. That is what digital transformation actually looks like in practice. Not big announcements. Small but structural changes in how companies run day to day operations. As more traditional companies in Japan move in this direction, this kind of setup will likely become standard. At that point, the difference between companies will not be who has AI. It will be who uses it better.
Wunderkind launches new Braze integration to turn identity into revenue-driving, orchestrated customer journeys. Wunderkind, the AI decisioning platform that combines identity resolution with cross-channel personalization to increase performance and reach, announced the launch of its latest integration with Braze, the leading customer engagement platform that powers relevant and memorable experiences between consumers and the brands they love. The new integration is designed to help marketers recognize more of their visitors, activate real-time behavioral Signals, and orchestrate high-performing triggered journeys directly within Braze, driving incremental revenue lift from existing traffic and programs. By connecting Wunderkind's identity framework and high-intent behavioral Signals to Braze Canvas, brands can move beyond static campaigns to intelligent, real-time experiences that adapt to customer behavior across web, email and other touchpoints, unlocking net-new revenue that traditional CRM programs leave on the tables. The integration enables marketers to bring triggered and CRM programs together under one roof in Braze, with shared frequency caps, suppression rules, and reporting. "Marketers shouldn't have to choose between performance and simplicity," said Richard Jones, Chief Revenue Officer at Wunderkind. "By bringing Wunderkind's identity graph and high-intent Signals into Braze, we're giving brands a way to recognize more of their shoppers, prioritize their highest-value triggered messages, and run everything inside a single environment their teams already know - without adding another system to manage or rebuilding existing journeys from scratch, and with a clear, measurable lift in triggered and lifecycle revenue." With Wunderkind's integration for Braze, brands can: * Recognize more visitors and expand reach by identifying previously anonymous traffic across sessions, devices, and channels, then turning those visitors into addressable Braze profiles and subscription audiences. * Grow and enrich Braze lists by capturing more email opt-ins on-site and writing new subscribers - along with key attributes and events - directly into Braze in real time. * Scale high-intent triggered journeys by using Wunderkind's Signals to detect meaningful behaviors like product and cart abandonment and pass those signals instantly into Braze Canvas for one-to-one email flows. * Unify CRM and triggered programs by coordinating Wunderkind-powered triggers with existing Braze campaigns, using shared frequency caps, suppression rules, and eligibility logic so triggered sends complement, rather than compete with, batch marketing. * Simplify compliance and mailability by checking subscription and mailability status in Braze before sends, and updating unsubscribe status back into Braze when customers opt out - keeping data aligned across systems. * Maintain operational efficiency with an integration that fits into existing Braze workflows, content, and reporting, minimizing the need for custom engineering while making every message smarter and more timely. Brands leveraging Wunderkind's identity framework have seen up to 8x lift in triggered revenue, and Wunderkind's platform drives more than $5 billion in attributable sales annually across its client base. Brands are already thinking about what this means for their own engagement strategies. "At Kurt Geiger, we're always looking at how our technology partners can work together more effectively. The integration between Wunderkind and Braze is an important development, bringing together capabilities that support a more connected approach to customer engagement," said Gareth Rees-John, Chief Digital Officer at Kurt Geiger.
Wunderkind has launched an integration with Braze that combines identity resolution with cross-channel personalisation to drive revenue from customer engagement campaigns. The integration allows marketers to recognise anonymous website visitors, activate real-time behavioural signals and orchestrate triggered customer journeys within Braze's platform. The integration enables brands to identify previously anonymous traffic, grow email lists, scale high-intent triggered journeys and unify CRM programmes using shared frequency caps and suppression rules. Wunderkind's identity framework has generated up to 8x lift in triggered revenue for clients, with the platform driving over $5 billion in attributable sales annually. The integration is now available to mutual customers of Wunderkind and Braze, fitting into existing workflows without requiring custom engineering.
Braze reported strong Q4 results with revenue of $205.2 million, beating analyst estimates of $198.3 million and representing 27.9% year-on-year growth. The customer engagement platform's performance was driven by accelerated organic growth, enterprise adoption and new AI capabilities including Decisioning Studio and Agent Console. The company surpassed $1 billion in remaining performance obligations, with annual recurring revenue reaching $774 million. Net revenue retention improved to 109%, up from 108% in the previous quarter. During the earnings call, CEO William Magnuson emphasised Braze's defensibility against custom-built platforms, citing integration capabilities and regulatory strengths. CFO Isabelle Winkles noted that whilst premium messaging pressures gross margins, new AI products should improve the mix over time. The company provided Q1 revenue guidance of $205 million, above analyst estimates of $197.3 million.
DA Davidson has raised its price target on Braze to $33 from $30, maintaining a Buy rating on the customer engagement platform. The stock rose approximately 20% following strong fourth-quarter results and the announcement of an inaugural $100 million share buyback programme. Braze's organic revenue growth accelerated to 24% from 22%, driven by increased large deal velocity and continued displacement of legacy marketing cloud vendors, according to the analyst. The company's performance reflects strong momentum in the customer engagement software market. The upgrade follows a series of mixed price target adjustments from other analysts, with recent revisions ranging from $25 to $50 across various financial institutions.