Enterprise · Marketing automation
Currently tracking 16 active AI roles, up 102% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
| Title | Stage | AI score |
|---|---|---|
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices. | Post-trainData | 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices. |
| Post-trainData |
| 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices. | Post-trainData | 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices. | Post-trainData | 7 |
| Data Scientist, AI Deployment Data Scientist, AI Deployment at Braze, responsible for designing and building end-to-end ML solutions for customer personalization. This role involves owning the full ML pipeline from data transformation and model training to activation, and extending product capabilities. They will also partner with the Product team to advance reinforcement learning algorithms and shape AI product strategy. | Post-trainServe | 7 |
| Forward-Deployed Data Scientist II This role focuses on designing and building end-to-end machine learning solutions, specifically RL use cases, for customer engagement personalization. The individual will own the full ML pipeline from data transformation to model training and activation, drive customer success through technical guidance, and contribute to extending product capabilities and shaping AI product strategy. The role involves partnering with the product team to advance reinforcement learning algorithms and bring customer-facing insights to the product roadmap. | AgentData | 7 |
| Forward-Deployed Data Scientist II This role focuses on designing and building end-to-end machine learning solutions, specifically RL use cases, for customer engagement personalization. The individual will own the full ML pipeline from data transformation to model training and activation, drive customer success through technical guidance, and contribute to extending product capabilities and shaping AI product strategy. The role involves partnering with the product team to advance reinforcement learning algorithms and bring customer-facing insights to the product roadmap. | AgentData | 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, extending product capabilities by improving architecture and developing data pipelines, refining reinforcement learning algorithms, contributing to product strategy, and providing technical expertise for customer adoption and success. The role requires strong Python, ML libraries, SQL, and ML pipeline/deployment experience, with a preference for customer-facing roles and experience with RL algorithms. | Post-trainData | 7 |
| Data Scientist, AI Deployment The Data Scientist, AI Deployment role at Braze focuses on designing and building end-to-end machine learning solutions for customer personalization. This involves managing the full ML pipeline from data transformation and model training to activation, with a strong emphasis on customer success and extending product capabilities. The role also involves shaping the AI product strategy and roadmap, particularly concerning reinforcement learning algorithms. | Post-trainAgent | 7 |
| AI Platform Engineer II The AI Platform Engineer II will build and scale BrazeAI Decisioning Studio, a reinforcement learning platform for personalized customer engagement. This role involves working with cloud-native infrastructure, data-intensive systems, and production machine learning, focusing on building and maintaining critical services, implementing scalable cloud solutions, troubleshooting production issues, and collaborating with data scientists and ML engineers. | Serve | 7 |
| Senior Software Engineer I, Decisioning Studio Senior Software Engineer to design, improve, and scale Braze's self-learning (reinforcement learning) AI platform for marketing personalization. The role involves building modular components for Decisioning Studio, working with cross-functional teams, and influencing product strategy. | Agent | 7 |
| Senior Forward Deployed Data Scientist, AI Deployment Senior Forward Deployed Data Scientist, AI Deployment role at Braze, focusing on customer-facing AI implementations. This role involves collaborating with customers and internal teams on ML model configuration, data pipelines, and improving architecture. It also includes working with the RL pipeline development team and contributing to product strategy. The goal is to ensure successful adoption and measurable outcomes for customers using Braze's AI capabilities. | ServePost-train | 7 |
| Forward Deployed Data Scientist, AI Deployment The Forward Deployed Data Scientist, AI Deployment role at Braze focuses on partnering with customers to implement and ensure success with BrazeAI. This involves defining use cases, integrating data, setting up pipelines, configuring ML models, and improving architecture. The role also involves refining reinforcement learning algorithms, contributing to product strategy through customer insights, and providing ongoing technical expertise for customer adoption and success. The position requires strong Python, ML libraries, SQL, and ML pipeline experience, along with engineering best practices. | AgentData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to implement BrazeAI solutions, focusing on ML model configuration, data integration, and refining reinforcement learning algorithms. This role extends product capabilities by developing reusable data pipelines and components, and contributes to product strategy through customer insights. | Post-trainData | 7 |
| Senior Data Scientist (AI Deployment) Senior Data Scientist role focused on deploying and refining AI models, particularly reinforcement learning algorithms, for customer engagement within the Braze platform. This involves collaborating with customers and internal teams on implementation, pipeline setup, and contributing to product strategy. | Post-trainData | 7 |
| Senior Data Scientist (AI Deployment) Senior Data Scientist role focused on deploying and refining AI models, particularly reinforcement learning algorithms, for customer engagement within the Braze platform. This involves collaborating with customers and internal teams on implementation, pipeline setup, and contributing to product strategy. | Post-trainData | 7 |
| Solutions Architect This role is for a Technical Architect within Braze's Expert Services organization. The primary focus is on delivering outcome-based technical services and bespoke solutions across the customer lifecycle, specializing in architecting integrations, data strategies, and customer-centric use cases to maximize the value of the Braze Platform. The role involves understanding client requirements, achieving fast time-to-value, and tailoring the product through consultation. While the role requires staying current with AI/ML trends, its core function is platform integration and solution design for customers, not direct AI/ML model development or research. | — | 5 |
| Solutions Architect Solutions Architect role focused on understanding client business and technical requirements, tailoring the Braze platform to their needs, and ensuring fast time-to-value. This role involves designing and implementing complex technical solutions, acting as a technical advisor, and staying current with emerging trends in AI and machine learning to enhance platform capabilities for customers. The role requires strong technical expertise in SaaS, Mobile, APIs, and Programming, with a focus on customer success and driving business outcomes through effective platform integration. | — | 5 |
| Technical Architect Technical Architect role focused on delivering outcome-based technical services and bespoke technical solutions across the customer lifecycle, specializing in architecting integrations, data strategies, and customer-centric use case design to maximize the value of the Braze Platform. The role involves understanding client requirements, tailoring the product, and acting as a technical advisor and conduit between Braze and customer teams. It also requires staying current with emerging AI/ML trends and advocating for new technologies. | — | 5 |
| Technical Architect Technical Architect role focused on delivering outcome-based technical services and bespoke technical solutions across the customer lifecycle, specializing in architecting integrations, data strategies, and customer-centric use case design to maximize the value of the Braze Platform. This role involves deep technical advising, designing complex solutions, acting as a technical conduit, and ensuring adherence to best practices and compliance. | — | 5 |
| Technical Architect Technical Architect role focused on delivering outcome-based technical services and bespoke technical solutions across the customer lifecycle, specializing in architecting integrations, data strategies, and customer-centric use case design to maximize the value of the Braze Platform. This role involves deep technical advising, designing complex solutions, acting as a technical conduit, and ensuring adherence to best practices and compliance. | — | 5 |
| Technical Architect Technical Architect role focused on delivering outcome-based technical services and bespoke technical solutions across the customer lifecycle, specializing in architecting integrations, data strategies, and customer-centric use case design to maximize the value of the Braze Platform. The role involves understanding client requirements, tailoring the product, and acting as a technical advisor and conduit between Braze and customer teams. It also requires staying current with emerging AI/ML trends and advocating for new technologies. | — | 5 |
| Senior Staff Engineer Senior Staff Engineer at Braze, a customer engagement platform. This role focuses on technical leadership within the Channels division, driving architectural direction, improving quality and reliability, and mentoring engineers. The engineer will be hands-on, designing and building foundational systems and frameworks to enable other teams to ship faster and safer. The role involves working across the full stack with technologies like Ruby on Rails, TypeScript, React, MongoDB, and distributed systems. The company emphasizes a collaborative culture and solving complex challenges at scale. | — | 0 |
| Senior Staff Engineer Senior Staff Engineer at Braze, a customer engagement platform. This role focuses on technical leadership within the Channels division, driving architectural direction, improving quality and reliability, and mentoring engineers. The engineer will be hands-on, designing and building foundational systems and frameworks to enable other teams to ship faster and safer. The role involves working across the full stack with technologies like Ruby on Rails, TypeScript, React, MongoDB, and distributed systems. The company emphasizes a collaborative culture and solving complex challenges at scale. | — | 0 |
| Senior Staff Engineer Senior Staff Engineer at Braze, a customer engagement platform. This role focuses on technical leadership within the Channels division, driving architectural direction, improving quality and reliability, and mentoring engineers. The engineer will be hands-on, designing and building foundational systems and frameworks to enable other teams to ship faster and safer. The role involves working across the full stack with technologies like Ruby on Rails, TypeScript, React, MongoDB, and distributed systems. The company emphasizes a collaborative culture and solving complex challenges at scale. | — | 0 |
| Senior Staff Engineer Senior Staff Engineer at Braze, a customer engagement platform. This role focuses on technical leadership within the Channels division, driving architectural direction, improving quality and reliability, and mentoring engineers. The engineer will be hands-on, designing and building foundational systems and frameworks to enable other teams to ship faster and safer. The role involves working across the full stack with technologies like Ruby on Rails, TypeScript, React, MongoDB, and distributed systems. The company emphasizes a collaborative culture and solving complex challenges at scale. | — | 0 |
| Technical Support Specialist This role is for a Technical Support Specialist at Braze, a customer engagement platform. The specialist will act as a product expert, handle customer inquiries, diagnose and fix technical issues, and guide best practices. They will collaborate with various internal teams and contribute to process improvements. The role requires experience supporting technical products, proficiency with case management tools, and familiarity with HTML, CSS, APIs, and/or SQL. Domain knowledge in SaaS, Mobile Technology, APIs, Marketing Automation, or related fields is a plus. | — | 0 |
| Technical Support Specialist This role is for a Technical Support Specialist at Braze, a customer engagement platform. The primary responsibilities include acting as a product expert, handling customer inquiries end-to-end, diagnosing and fixing technical issues, answering product questions, and guiding best practices. The role requires experience supporting technical products, proficiency with case management tools, and hands-on experience with HTML, CSS, APIs, and/or SQL. Domain knowledge in areas like SaaS, Mobile Technology, APIs, and Marketing Automation is also beneficial. The role is customer-facing and focuses on ensuring a positive customer experience and driving product adoption. | — | 0 |
| Technical Support Specialist This role is for a Technical Support Specialist at Braze, a customer engagement platform. The specialist will act as a product expert, handle customer inquiries, diagnose and fix technical issues, and guide best practices. Responsibilities include owning customer inquiries end-to-end, becoming a product expert, driving product adoption, collaborating with cross-functional teams, identifying opportunities for customer satisfaction, and contributing to process improvements and knowledge sharing. The role requires experience supporting technical products, proficiency with case management tools, and hands-on experience with HTML, CSS, APIs, and/or SQL. Domain knowledge in areas like SaaS, Mobile Technology, APIs, Marketing Automation, etc., is a plus. The ideal candidate is an excellent communicator, customer-centric, analytical, resourceful, and skilled at managing high volumes of inquiries under pressure. | — | 0 |
| Technical Support Specialist This role is for a Technical Support Specialist at Braze, a customer engagement platform. The specialist will act as a product expert, handle customer inquiries, diagnose and fix technical issues, and guide best practices. Responsibilities include owning customer inquiries end-to-end, becoming a product expert, driving product adoption, collaborating with cross-functional teams, identifying opportunities for customer satisfaction, and contributing to process improvements and knowledge sharing. The role requires experience supporting technical products, proficiency with case management tools, and hands-on experience with HTML, CSS, APIs, and/or SQL. Domain knowledge in areas like SaaS, Mobile Technology, APIs, Marketing Automation, etc., is a plus. The ideal candidate is an excellent communicator, customer-centric, analytical, resourceful, and skilled at managing high volumes of inquiries under pressure. | — | 0 |
| Manager, Accounting Manager, Accounting role at Braze, focusing on leading month-end and quarter-end close processes, overseeing accounting operations, and driving process improvements including automation and SOX compliance. Requires a Bachelor's Degree in Accounting or Finance, 5+ years of experience, and strong knowledge of US GAAP and SOX. Experience in high-growth, publicly traded companies and with specific systems like NetSuite is preferred. The role involves managing a team and collaborating cross-functionally. | — | 0 |
| Manager, Accounting Manager, Accounting role at Braze, focusing on leading month-end and quarter-end close processes, overseeing accounting operations, and driving process improvements including automation and SOX compliance. Requires a Bachelor's Degree in Accounting or Finance, 5+ years of experience, and strong knowledge of US GAAP and SOX. Experience in high-growth, publicly traded companies and with specific systems like NetSuite is preferred. The role involves managing a team and collaborating cross-functionally. | — | 0 |
| Senior Incident Manager This role is for a Senior Incident Manager at Braze, focusing on major incident management, process management, program management, and release management within the Technology Operations Team. The goal is to ensure Braze operates as a technology-first business by standardizing, enforcing, and improving processes across engineering departments, with a focus on scalability, observability, and reusability. The role involves creating and executing incident response strategies, leading incident resolution, improving related tools and processes, managing incident-related training, overseeing the incident management process, prioritizing incidents, contributing to blameless post-mortems, translating technical issues into business impacts, and leading the weekly release process. | — | 0 |
| Senior Incident Manager This role is for a Senior Incident Manager at Braze, focusing on major incident management, process management, program management, and release management within the Technology Operations Team. The goal is to ensure Braze operates as a technology-first business by standardizing, enforcing, and improving processes across engineering departments, with a focus on scalability, observability, and reusability. The role involves creating and executing incident response strategies, leading incident resolution, improving related tools and processes, managing incident-related training, overseeing the incident management process, prioritizing incidents, contributing to blameless post-mortems, translating technical issues into business impacts, and leading the weekly release process. | — | 0 |
| Senior Business Intelligence Engineer Senior Business Intelligence Engineer role focused on building and maintaining data pipelines, data models, and metrics using dbt and Snowflake to support decision-making. The role involves partnering with stakeholders, defining metrics, ensuring data quality, and mentoring other engineers. | — | 0 |
| Manager, Accounting Manager, Accounting role at Braze, focusing on leading month-end and quarter-end close processes, overseeing accounting operations, and driving process improvements including automation and SOX compliance. Requires a Bachelor's Degree in Accounting or Finance, 5+ years of experience, and strong knowledge of US GAAP and SOX. Experience in high-growth, publicly traded companies and with specific systems like NetSuite is preferred. The role involves managing a team and collaborating cross-functionally. | — | 0 |
| Engineering Manager, Platform Engineering Engineering Manager for Platform Engineering at Braze, responsible for leading a team that builds and manages a robust, automated platform abstracting infrastructure complexities for seamless application deployment and operations. The role involves technical leadership, engineering management, and product management for platform services, with a strong emphasis on collaboration with SREs and operational excellence. | — | 0 |
| Recruiter II (Fixed-Term Employee) Recruiter role focused on hiring for Go-to-Market and Post-Sales teams at Braze, a customer engagement platform company that utilizes AI. | — | 0 |
| Lead Business Analyst I Lead Business Analyst with deep background in DBT development and Go-To-Market Analytics. The role involves modernizing data infrastructure, developing scalable data models using dbt, and bridging the gap between raw operational data and strategic execution. Responsibilities include data architecture, refactoring legacy models, leading GTM data models, setting technical standards, project ownership, advanced analysis in Python, and BI layer execution. The role explicitly states it is NOT for dashboard builders or ML deployers/data scientists. | — | 0 |
| Senior Staff Platform Infrastructure Engineer Senior Staff Platform Infrastructure Engineer at Braze, focusing on the infrastructure supporting massive scale processing, autoscaling systems, metrics pipelines, reliable job execution, and internal frameworks. The role involves designing, building, and operating architecture, long-term planning, cross-organization partnership, and ensuring quality of architecture decisions and compliance requirements. Experience with distributed systems and leading infrastructure teams is required. | — | 0 |
| AV Associate This role is for an AV Associate responsible for the setup, operation, and maintenance of audiovisual equipment to ensure seamless business operations. It involves providing technical assistance for meetings, presentations, and events, troubleshooting AV issues, and collaborating with IT teams. The role also includes creating documentation, managing AV tickets, maintaining inventory, and assisting with AV equipment installation and configuration. | — | 0 |
| IT Service Desk Manager This role manages the day-to-day operations of an IT service desk team, focusing on supporting remote employees and offices. Key responsibilities include meeting service desk targets, documenting processes, improving operational efficiency through KPI reporting, developing and scaling the team, overseeing incident response, and managing budget and licenses. The ideal candidate has experience managing and growing a global service desk team, establishing processes, building KPI reporting, and utilizing data-driven decision-making in a fast-paced environment. | — | 0 |
| IT Associate This role is for an IT Associate responsible for providing technical assistance to employees, including hardware and software troubleshooting, account provisioning/de-provisioning, and managing IT assets. It is not an AI/ML-focused role. | — | 0 |
| Senior Software Engineer I, Content Cards Senior Software Engineer for the Content Cards team, focused on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for in-app engagement, message management, and a feature-rich dashboard. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform. | — | 0 |
| Lead Design Engineer Lead Design Engineer role focused on evolving a design system to be consumable by automated and AI-assisted workflows. This involves owning the design and technical direction of the system, writing production code for components and tokens, and building automation and tooling. The role requires strong design craft judgment, production code experience in React and TypeScript, and experience driving accessibility improvements. A bonus is experience with AI-assisted tooling or automated compliance workflows. | — | 0 |
| Lead Design Engineer Lead Design Engineer role focused on evolving a design system to be consumable by automated and AI-assisted workflows. This involves owning the design and technical direction of the system, writing production code for components and tokens, and building automation and tooling. The role requires strong design craft judgment, production code experience in React and TypeScript, and experience driving accessibility improvements. A bonus is experience with AI-assisted tooling or automated compliance workflows. | — | 0 |
| Lead Design Engineer Lead Design Engineer role focused on evolving a design system to be consumable by automated and AI-assisted workflows. This involves owning the design and technical direction of the system, writing production code for components and tokens, and building automation and tooling. The role requires strong design craft judgment, production code experience in React and TypeScript, and experience driving accessibility improvements. A bonus is experience with AI-assisted tooling or automated compliance workflows. | — | 0 |
| Lead Design Engineer Lead Design Engineer role focused on evolving a design system to be consumable by automated and AI-assisted workflows. This involves owning the design and technical direction of the system, writing production code for components and tokens, and building automation and tooling. The role requires strong design craft judgment, production code experience in React and TypeScript, and experience driving accessibility improvements. A bonus is experience with AI-assisted tooling or automated compliance workflows. | — | 0 |
| Lead System Administrator Lead Systems Administrator responsible for the reliability, security, and operational excellence of IT services, including incident response, root cause analysis, system improvement through automation, and mentoring. The role involves advanced support for various SaaS platforms and infrastructure, scripting for efficiency, and managing vendor relationships. | — | 0 |
| Senior Site Reliability Engineer II Site Reliability Engineers (SREs) are responsible for keeping all internal-facing services and platforms running smoothly, ensuring site uptime. They blend system administrators and software engineers, applying engineering principles, operational discipline, and automation to infrastructure services. The role involves improving automation, infrastructure reliability, and empowering other engineering teams. Braze operates at a massive scale with a diverse technology stack including Ruby on Rails, MongoDB, Redis, Kafka, and Kubernetes. The Senior SRE will collaborate to improve infrastructure, automation, and tooling. | — | 0 |