Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor.

Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor.

This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact.

This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact.

This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact.

The Forward-Deployed Data Scientist II at Braze will design and build end-to-end machine learning solutions for customer personalization, owning the full ML pipeline from data transformation to model activation. This role involves driving customer success, extending product capabilities, and contributing to the strategy and roadmap of Braze's AI products, particularly its reinforcement learning algorithms.

This role focuses on designing and building end-to-end machine learning solutions for 1-to-1 personalization, with a strong emphasis on Reinforcement Learning (RL) use cases. The Data Scientist will own the full ML pipeline from raw data transformation and model training to activation, drive customer success through technical guidance, and contribute to extending product capabilities and shaping the AI product strategy. The role involves partnering with the product team to advance the platform's self-learning capabilities.

Senior Software Engineer II role focused on building and operating an agentic AI chat assistant (BrazeAI Operator) embedded in a customer engagement platform. Responsibilities include developing the agentic runtime, tool orchestration, prompt engineering, integrations with LLM providers and product features, and ensuring reliability, observability, and safety of LLM-backed systems.

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, improving ML pipelines, and contributing to product strategy.

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.

Senior Lead Systems Engineer focused on building enterprise technology through automation, software engineering, AI, and intelligent integrations. The role involves architecting scalable solutions, building integrations across various platforms, and shaping strategy around enterprise integrations, intelligent workflows, and agentic experiences. Key responsibilities include designing and building intelligent automation leveraging AI and agentic workflows, developing integrations across SaaS applications, evolving conversational IT and self-service experiences, and enabling AI platform capabilities by evaluating and implementing emerging AI technologies, LLMs, and agent frameworks.

Senior Lead Systems Engineer focused on building enterprise technology through automation, software engineering, AI, and intelligent integrations. The role involves architecting scalable solutions, building integrations across various platforms, and shaping strategy around enterprise integrations, intelligent workflows, and agentic experiences. Key responsibilities include designing and building intelligent automation leveraging AI and agentic workflows, developing integrations across SaaS applications, evolving conversational IT and self-service experiences, and enabling AI platform capabilities by evaluating and implementing emerging AI technologies, LLMs, and agent frameworks.

Senior Lead Systems Engineer focused on building enterprise technology through automation, software engineering, AI, and intelligent integrations. The role involves architecting scalable solutions, building integrations across various platforms, and shaping strategy around enterprise integrations, intelligent workflows, and agentic experiences. Key responsibilities include designing and building intelligent automation leveraging AI and agentic workflows, developing integrations across SaaS applications, evolving conversational IT and self-service experiences, and enabling AI platform capabilities by evaluating and implementing emerging AI technologies, LLMs, and agent frameworks.

Staff Fullstack Engineer to join the Core Objects team, driving architecture, scalability, and performance of a complex, high-scale backend system. The role involves extending the ingestion pipeline, optimizing performance and cost, and shaping core data structures. The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate a large Ruby monolith and create proof of concepts.

Staff Fullstack Engineer to join the Core Objects team, driving architecture, scalability, and performance of a complex, high-scale backend system. The role involves extending the ingestion pipeline, optimizing performance and cost, and shaping core data structures. The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate a large Ruby monolith and create proof of concepts.

Senior Lead Systems Engineer focused on building enterprise technology through automation, software engineering, AI, and intelligent integrations. The role involves architecting scalable solutions, building integrations across various platforms, and shaping strategy around enterprise integrations, intelligent workflows, and agentic experiences. Key responsibilities include designing and building intelligent automation leveraging AI and agentic workflows, developing integrations across SaaS applications, evolving conversational IT and self-service experiences, and enabling AI platform capabilities by evaluating and implementing emerging AI technologies, LLMs, and agent frameworks.

This role architects the technical foundation and data strategy for a global sales organization, focusing on GTM tech stack management, building workflows, data cleanup, and deploying AI-driven solutions to reduce manual work and streamline account sourcing and enrichment. It involves managing the lifecycle of GTM tools, establishing data governance, optimizing sales processes, and developing dashboards for system health and data quality.

This role architects the technical foundation and data strategy for a global sales organization, focusing on GTM tech stack management, building workflows, data cleanup, and deploying AI-driven solutions to reduce manual work and streamline processes. It involves managing Salesforce and other GTM tools, ensuring data integrity, and optimizing sales processes.

This role is for a Technical Architect at Braze, focusing on delivering outcome-based technical services and bespoke solutions across the customer lifecycle. The role involves architecting integrations, data strategies, and customer-centric use case designs to maximize the value customers derive from the Braze Platform. It requires deep technical expertise, customer obsession, and collaboration with various internal and external teams. The role also involves staying current with emerging trends in AI and machine learning, and advocating for new technologies.

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.

Senior Technical Support Specialist for Braze, a customer engagement platform. Responsibilities include owning, prioritizing, and troubleshooting complex customer support issues, acting as an internal escalation point, guiding junior team members, and developing in-depth platform knowledge. Requires strong communication, problem-solving skills, and experience supporting technical products, ideally in SaaS or Mobile. Programming language experience is a plus.

Senior Software Engineer for Braze's Content Cards team, focusing on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for message definition, composition, targeting, delivery, and analytics, as well as a dashboard for managing messaging experiences. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform.

Senior Software Engineer for Braze's Content Cards team, focusing on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for message definition, composition, targeting, delivery, and analytics, as well as a dashboard for managing messaging experiences. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform.

Senior Software Engineer for Braze's Content Cards team, focusing on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for message definition, composition, targeting, delivery, and analytics, as well as a dashboard for managing messaging experiences. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform.

Senior Software Engineer for Braze's Content Cards team, focusing on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for message definition, composition, targeting, delivery, and analytics, as well as a dashboard for managing messaging experiences. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform.

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 end-to-end, diagnose and fix technical issues, answer product questions, 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 hands-on experience with HTML, CSS, APIs, and/or SQL. Domain knowledge in areas like SaaS, Marketing Automation, or Marketing Analytics is a plus.

Recruiter role focused on hiring for Go-to-Market teams, including Customer Success, Global Services & Support. Manages the full recruiting lifecycle, partners with hiring managers, screens candidates, and analyzes recruiting metrics. Requires 4+ years of full-cycle recruiting experience and a strategic/analytical mindset.

Recruiter role focused on hiring for Go-to-Market teams, including Customer Success, Global Services & Support. Manages the full recruiting lifecycle, partners with hiring managers, screens candidates, and analyzes recruiting metrics. Requires 4+ years of full-cycle recruiting experience and a strategic/analytical mindset.

Recruiter role focused on hiring for Go-to-Market teams, including Customer Success, Global Services & Support. Manages the full recruiting lifecycle, partners with hiring managers, screens candidates, and analyzes recruiting metrics. Requires 4+ years of full-cycle recruiting experience and a strategic/analytical mindset.

Senior Cloud Security Engineer II at Braze, focusing on setting technical direction for cloud security, secure architecture, threat modeling, detection engineering, incident response, and Kubernetes security. This is an individual contributor role requiring technical leadership and mentorship.

Senior Cloud Security Engineer II at Braze, focusing on setting technical direction for cloud security, including secure architecture, threat modeling, detection engineering, incident response, and Kubernetes security. This is a pure individual contributor role requiring technical leadership and influence.

Senior Cloud Security Engineer II at Braze, focusing on setting technical direction for cloud security, including secure architecture, threat modeling, detection engineering, incident response, and Kubernetes security. This is a pure individual contributor role requiring technical leadership and influence.

Senior Cloud Security Engineer II at Braze, focusing on setting technical direction for cloud security, including secure architecture, threat modeling, detection engineering, incident response, and Kubernetes security. This is a pure individual contributor role requiring technical leadership and influence.

This role is for a senior, highly technical Applications & Integrations Lead responsible for the architecture, governance, strategic roadmap, and support of the GTM, CX, and platform technology ecosystem. The lead will manage a team, focusing on Salesforce, application management, and integrations, ensuring systems are stable, secure, compliant, and audit-ready. Key responsibilities include establishing governance frameworks, owning integration lifecycles, ensuring data integrity, administering middleware platforms like Tray.io, partnering with stakeholders, and managing documentation and change control. The role requires deep knowledge of API integrations, middleware platforms, and compliance standards like SOX and ITGC.

This role is for a senior, highly technical Applications & Integrations Lead responsible for the architecture, governance, strategic roadmap, and support of the GTM, CX, and platform technology ecosystem. The lead will manage a team, focusing on Salesforce, application management, and integrations, ensuring systems are stable, secure, compliant, and audit-ready. Key responsibilities include establishing governance frameworks, owning integration lifecycles, ensuring data integrity, managing automation platforms, and collaborating with stakeholders. The role requires experience in large-scale application administration, compliance, middleware platforms, and technical project management.

Senior Security Engineer focused on protecting company employees, assets, and work locations. Responsibilities include investigating threats, implementing security solutions (DLP, SAAS security, hardening), proposing architecture enhancements, developing alerts, building and maintaining security infrastructure, enforcing policies, enhancing SIEM, reviewing business partner technologies, expanding forensics and threat investigation capabilities, securing communications, facilitating compliance, deploying automation, responding to incidents, and mentoring junior staff. The role involves designing, implementing, and managing security solutions, understanding enterprise networking and cloud tech stacks, scaling security infrastructure, acting as a knowledge resource for other security areas, configuring SIEM detections, working within SaaS applications, implementing policy control, aligning with stakeholders, implementing automation for detections and reporting, prioritizing ingestion, maintaining system operability, building new functionality for scale, solving security challenges, participating in on-call rotations, responding to critical incidents, making key decisions on internal product/system deployments, guiding security activities (vulnerability testing, design, investigation), ensuring compliance with security policies, making recommendations for toolset/process improvements, and performing evaluation/recommendation of technology solutions.

Recruitment Coordinator role focused on supporting recruiters with interview scheduling, candidate communication, and HRIS/ATS management. The role emphasizes organization, detail-orientation, and a high-quality candidate experience.

Cloud Security Engineer role focused on incident response, security reviews, operating security tooling (EDR, SIEM, vulnerability scanners), and vulnerability management within a cloud-native SaaS environment (AWS/GCP). Requires hands-on experience with security operations, cloud platforms, and scripting for automation.

Senior Security Engineer focused on protecting company assets and infrastructure through investigation, implementation of security solutions, and development of alerts and reports. Responsibilities include securing SaaS applications, hardening configurations, proposing architecture enhancements, and collaborating with technical stakeholders on various security domains.

Senior Security Engineer focused on protecting company employees, assets, and work locations. Responsibilities include investigating threats, implementing security solutions (DLP, SAAS security, hardening), proposing architecture enhancements, developing alerts, building and maintaining security infrastructure, enforcing policies, enhancing SIEM, reviewing business partner technologies, expanding forensics and threat investigation capabilities, securing communications, facilitating compliance, deploying automation, responding to incidents, and mentoring junior staff. The role involves designing, implementing, and managing security solutions, understanding enterprise networking and cloud tech stacks, scaling security infrastructure, acting as a knowledge resource for other security areas, configuring SIEM detections, working within SaaS applications, implementing policy control, aligning with stakeholders, implementing automation for detections and reporting, prioritizing ingestion, maintaining system operability, building new functionality for scale, solving security challenges, participating in on-call rotations, responding to critical incidents, making key decisions on internal product/system deployments, guiding security activities (vulnerability testing, design, investigation), ensuring compliance with security policies, making recommendations for toolset/process improvements, and performing evaluation/recommendation of technology solutions.

Senior Security Engineer focused on protecting company employees, assets, and work locations. Responsibilities include investigating threats, implementing security solutions (DLP, SAAS security, hardening), proposing architecture enhancements, developing alerts, building and maintaining security infrastructure, enforcing policies, enhancing SIEM, reviewing business partner technologies, expanding forensics and threat investigation capabilities, securing communications, facilitating compliance, deploying automation, responding to incidents, and mentoring junior staff. The role involves designing, implementing, and managing security solutions, understanding enterprise networking and cloud tech stacks, scaling security infrastructure, acting as a knowledge resource for other security areas, configuring SIEM detections, working within SaaS applications, implementing policy control, aligning with stakeholders, implementing automation for detections and reporting, prioritizing ingestion, maintaining system operability, building new functionality for scale, solving security challenges, participating in on-call rotations, responding to critical incidents, making key decisions on internal product/system deployments, guiding security activities (vulnerability testing, design, investigation), ensuring compliance with security policies, making recommendations for toolset/process improvements, and performing evaluation/recommendation of technology solutions.

Senior Security Engineer focused on protecting company employees, assets, and work locations. Responsibilities include investigating threats, implementing security solutions (DLP, SAAS security, hardening), proposing architecture enhancements, developing alerts, building and maintaining security infrastructure, enforcing policies, enhancing SIEM, reviewing business partner technologies, expanding forensics and threat investigation capabilities, securing communications, facilitating compliance, deploying automation, responding to incidents, and mentoring junior staff. The role involves designing, implementing, and managing security solutions, understanding enterprise networking and cloud tech stacks, scaling security infrastructure, acting as a knowledge resource for other security areas, configuring SIEM detections, working within SaaS applications, implementing policy control, aligning with stakeholders, implementing automation for detections and reporting, prioritizing ingestion, maintaining system operability, building new functionality for scale, solving security challenges, participating in on-call rotations, responding to critical incidents, making key decisions on internal product/system deployments, guiding security activities (vulnerability testing, design, investigation), ensuring compliance with security policies, making recommendations for toolset/process improvements, and performing evaluation/recommendation of technology solutions.

The Senior Lead Field Architect at Braze is responsible for the technical strategy of high-stakes deal cycles, ensuring proposed solutions are technically sound and aligned with the prospect's digital transformation roadmap. This role involves leading architecture workshops, managing technical stakeholders, identifying blockers, and developing best-practice blueprints for enterprise scenarios. The ideal candidate has advanced system design expertise, deep knowledge of data strategy and governance, and consulting skills for change management.

This role is a Senior Lead Field Architect at Braze, a customer engagement platform. The role focuses on the technical strategy for high-stakes deals, ensuring solutions are technically sound, secure, and aligned with prospect roadmaps. It involves leading architecture workshops, managing technical stakeholders, identifying blockers, and developing best-practice blueprints. The role requires advanced system design, data strategy, change management consulting, and competitive intelligence, but it does not involve building or shipping AI/ML models directly.

The Senior Lead Field Architect at Braze is responsible for the technical strategy of high-stakes deal cycles, ensuring proposed solutions are technically sound and aligned with the prospect's digital transformation roadmap. This role involves leading architecture workshops, managing technical stakeholders, identifying blockers, and developing best-practice blueprints for enterprise scenarios. The ideal candidate has advanced system design expertise, deep knowledge of data strategy and governance, and consulting skills for change management.

Senior Fullstack Engineer role focused on building and optimizing an ultrafast application for a massive scale, processing billions of data points for customer engagement. Responsibilities include leveraging big data for reports, optimizing query performance and cost, and creating a user experience with front-end technologies. The company is a customer engagement platform that uses AI, but this role is not directly building AI models.

Executive Assistant to support Braze's Technology Services organization, specifically the CTO, VP Technology Services/Chief of Staff, VP of Engineering, and Chief Product Officer. Responsibilities include calendar management, travel coordination, expense reporting, event planning, and cross-functional coordination.

The role focuses on building and maintaining Braze's internal infrastructure as a service platform, which includes developing frameworks for large-scale distributed processing and managing incidents. This involves applying engineering principles and automation to infrastructure services, with a focus on Kubernetes and system observability.