Summer 2025, Fall 2025

Growth Engineering Intern

Posted on 5/14/2025

Braze

Braze

1,001-5,000 employees

Customer engagement platform for cross-channel messaging

Compensation Overview

$45/hr

New York, NY, USA

In Person

Available to join us from July - September 2025 in the NYC office.

Category
Software Engineering (2)
,
Required Skills
Python
React.js
SQL
TypeScript
AWS
Web Development
HTML/CSS
Snowflake
Google Cloud Platform

People at Braze

People at Braze who can refer or advise you

Requirements
  • Pursuing or having a degree in Computer Science, Engineering, or a related field
  • Understanding of web development technologies such as Typescript, HTML, CSS, and familiarity with frameworks like React
  • Exposure to programming languages such as Python is a plus
  • Interest in cloud platforms like AWS or Google Cloud, and data tools like SQL or Snowflake
  • Curiosity and enthusiasm for AI technologies and their application in solving business challenges
  • Strong problem-solving skills and the ability to work independently and collaboratively in a team environment
  • Excellent communication skills and a user-centric mindset
  • A high level of intellectual curiosity and a passion for learning and growth
  • Available to join us from July - September 2025 in the NYC office
Responsibilities
  • Assist in the development of React web applications that provide insights and automate routine tasks for our internal teams and clients
  • Support the utilization and development of internal APIs to enhance our application and automation solutions
  • Collaborate with cross-functional teams, including Sales and Customer Success, to improve client experiences with Braze
  • Contribute to small to medium-sized automation projects aimed at increasing operational efficiency
  • Work alongside our Data Engineering team to build applications and automations leveraging our data infrastructure
  • Experiment with new AI tools and technologies to propose innovative solutions and improvements
Desired Qualifications
  • Exposure to programming languages such as Python is a plus
  • Interest in cloud platforms like AWS or Google Cloud, and data tools like SQL or Snowflake

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

People at Braze

People at Braze who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • BrazeAI tools drove 30% revenue growth to $211M in Q1 2027 with four quarters of acceleration.
  • High-ARR clients grew 33% to 349, representing 65% of $780.8M annual recurring revenue.
  • Goldman Sachs projects 20% operating margins by 2029, citing AI-driven share capture from legacy tools.

What critics are saying

  • Klaviyo's bundling of AI at 25–40% lower ACV threatens Braze's $50M–$1B retailer segment within 6–12 months.
  • CFO Isabelle Winkles' Q1 2027 departure risks delaying Goldman Sachs' 20% margin target by over 12 months.
  • OneSignal's native push-A/B testing integration could fragment Braze's journey orchestration moat within 12–24 months.

What makes Braze unique

  • Braze unifies real-time data, AI decisioning, and cross-channel orchestration in one platform.
  • BrazeAI Operator enables marketers to build Canvases and write code via natural language prompts.
  • Braze supports composable intelligence with flexible LLM choices including OpenAI, Anthropic, and Google Gemini.

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

Benefits

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

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
Mavlers
Jul 1st, 2026
The last word on Braze Agent Console.

The last word on Braze Agent Console. At Braze's London City by City event, automated QA entered beta as a direct offshoot of the Agent Console product. It was also, notably, the top-demanded feature at the customer advisory board that same day. It was the first time QA had ever risen to that level in a Braze CAB! The implication is significant. Agent Console is beginning to support the internal workflows marketers use to create and test campaigns. While this is still in the early stages, it's something to keep an eye on. Agent Console is worth getting hands-on with. Begin with a basic use case, connect your catalog, adjust your output format instructions, and make sure to test everything before you launch it in a live Canvas. It's easier to start seeing value from Braze's AI agents than you might think. And there's a lot of potential to achieve even more as you get comfortable with it.

Mavlers
Jun 26th, 2026
How BrazeAI Operator works.

How BrazeAI Operator works. Before Mavlers get into its use cases, it is important to understand how Operator works. Natural language interface. You type a prompt. Operator interprets intent, maps it to the right Braze action, and executes, or drafts for your review. Example prompts look like: * "Build a 3-step re-engagement Canvas for users who haven't opened an email in 60 days." * "Write Liquid code to personalize the subject line based on the user's last purchase category." * "Why is this Canvas step not triggering for iOS users?" * "Translate this campaign content into French, Spanish, and German." OpenAI integration with model flexibility. BrazeAI Operator integrates with OpenAI and lets you choose from different GPT models based on how complex your task is. This way, you can balance speed, cost, and reasoning depth to fit your needs. Works hand-in-glove with the BrazeAI ecosystem. BrazeAI Operator doesn't work in isolation. It's part of the 3-pillar BrazeAI architecture. These three form the backbone of what Braze calls composable intelligence, the ability to orchestrate AI across every layer of your customer engagement stack. How Mavlers uses BrazeAI Operator. At Mavlers, Mavlers work with Braze as a certified Alloys partner, managing complex lifecycle programs for clients across multiple verticals. Here's an honest, practitioner-level breakdown of where BrazeAI Operator is already changing how its team operates. Quicker Canvas creation under tight deadlines. Mavlers prompt Operator with the campaign objective, target audience, desired channels, and timing logic. Operator drafts the Canvas structure, step conditions, and entry criteria. Its strategists review and refine. What used to take a full working day now takes a fraction of the time. Liquid code generation & personalization logic. Mavlers use Operator to generate, debug, and refine Liquid personalization code. It helps Mavlers pull in a user's last viewed product, show different content blocks based on where someone is in their journey, or set up fallback logic. Operator takes care of the syntax, so Mavlers can focus on the strategy. This is one of the most valuable ways that Mavlers has found for junior and mid-level marketers on client teams to work. It quickly raises everyone's baseline knowledge. Campaign troubleshooting & diagnostic QA. Mavlers explain the issue in simple terms and let Operator find the diagnostics. Operator then gives step-by-step guidance tailored to the page and workflow. This approach is especially helpful in client-managed settings where its team works asynchronously across different time zones. Audience segmentation. Paired with the BrazeAI Agent Console, Mavlers has built client-specific agents that classify users by intent level, purchase frequency, and engagement depth. Operator acts as the orchestration layer. It prompts, configures, and deploys those agents into Canvas. Personalized onboarding journey design. Mavlers use Operator to design branching onboarding journeys that adapt based on user attributes, declared preferences, and early behavioral signals. The AI helps Mavlers think through branching logic and surface the right decisioning conditions. Loyalty & high-touch VIP campaigns. Mavlers use Operator together with its custom agents. Its QA Agents check every message to make sure it matches your brand before it is sent. Its recommendation agents also match user preferences with live product catalogs. What BrazeAI Operator is not (from its experience). A few important caveats from its experience with Operator: * It's a powerful assistant, not an autonomous strategist. Operator executes brilliantly on well-defined briefs. The strategic part still needs to come from your team or your agency partner. * Early adopter feedback has noted that AI-generated outputs require verification before going live. Always build a review step into your workflow. Trust, but verify. * Vague prompts produce generic outputs. Always write precise, context-rich briefs. The last word on BrazeAI Operator. With BrazeAI Operator, the gap between strategy and execution shrinks. The dependency on technical specialists for Liquid code, Canvas logic, and segment builds reduces substantially. This has 2 second-order effects: * Your senior team can spend more time on strategy. * Your junior team can now operate closer to senior capability. Operator helps your lifecycle marketing team work more efficiently. But this does not replace the need for expertise. You still need to understand the platform well to speed up your workflows.

ITBusinessToday
Apr 3rd, 2026
Tokyo Gas bets on ai-driven engagement with Braze and Databricks integration.

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.

MarTech360
Apr 3rd, 2026
Wunderkind launches new Braze integration to turn identity into revenue-driving, orchestrated customer journeys.

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.

Business Wire
Apr 2nd, 2026
Wunderkind launches Braze integration to turn anonymous visitors into revenue-driving customer journeys

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.

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