Braze
Enterprise · Marketing automation
Braze currently has 26 active job listings related to AI. The majority of these roles are focused on the application stage, representing 42% of the openings, followed by post-training roles at 38%. Engineering is the most active function, with 15 listings, and the United States is the primary hiring country with 10 positions. The company is frequently seeking candidates with experience in model serving, fine-tuning, and recommender systems. In the last 30 days, Braze has posted 5 new AI roles, a 150% increase compared to the previous 30-day period.
Currently tracking 15 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
Enterprise · Marketing automation
Braze currently has 23 active AI-related roles in our index. The most common open titles are: Engagement Manager II (8), Forward-Deployed Data Scientist II (7), Forward Deployed Data Scientist, AI Deployment, Data Scientist, AI Deployment, Forward-Deployed Data Scientist. Most positions are in Engineering and Product.
Braze's active AI hiring is concentrated in: application (43%), post-training (39%), agents (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Braze is hiring AI talent in: United States (10 roles), Brazil (4 roles), Canada (3 roles), Romania (2 roles).
Job postings at Braze most frequently reference: model serving, fine tuning, rl post training, recommender systems, agent orchestration.
In the past 30 days, Braze has posted 3 new AI-related roles. That is a -50% change versus the prior 30 days (6 → 3).
| 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 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions. | Post-trainData | 7 |
| Forward-Deployed Data Scientist Braze is seeking a Forward-Deployed Data Scientist to partner with customers on AI implementations, including ML model configuration and data integration. The role involves extending product capabilities by developing data pipelines and APIs, and working with the RL pipeline development team to refine reinforcement learning algorithms. The position also contributes to BrazeAI product strategy and roadmap through customer insights. | Post-trainData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions. | Post-trainData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms. The role also contributes to BrazeAI product strategy and roadmap through customer insights. | Post-trainData | 7 |
| CX Operations - Insights Lead The CX Operations Insights Lead at Braze will bridge the gap between data-driven operational metrics and resource allocation within the Customer Experience (CX) department. This role focuses on Headcount Capacity Planning and Insights & Analytics, involving forecasting, headcount modeling, and driving high-visibility analytics initiatives with an emphasis on workflow automation. The lead will also mentor junior analysts and define cross-divisional objectives. While not directly building AI models, the role leverages AI tools for insights and automation. | — | 5 |
| CX Operations - Insights Lead The CX Operations Insights Lead at Braze will bridge the gap between data-driven operational metrics and resource allocation within the Customer Experience (CX) department. This role focuses on Headcount Capacity Planning and Insights & Analytics, involving forecasting, headcount modeling, and driving high-visibility analytics initiatives with an emphasis on workflow automation. The lead will also mentor junior analysts and define cross-divisional objectives. While not directly building AI models, the role leverages AI tools for insights and automation. | — | 5 |
| Lead Product Analyst Product Analyst role focused on data storytelling, quantitative analysis of feature engagement, and influencing product roadmap. The role involves overseeing data ingestion, refining semantic models, and providing deep-dive analysis. While not building AI models, the role uses AI tools to accelerate development and insight generation, and works with data that fuels AI initiatives. | — | 5 |
| Lead Product Analyst Product Analyst role focused on data storytelling, quantitative analysis of feature engagement, and influencing product roadmap. The role involves overseeing data ingestion, refining semantic models, and providing deep-dive analysis. While not building AI models, the role uses AI tools to accelerate development and insight generation, and works with data that fuels AI initiatives. | — | 5 |
| Lead Product Analyst Product Analyst role focused on data storytelling, quantitative analysis of feature engagement, and influencing product roadmap. The role involves overseeing data ingestion, refining semantic models, and providing deep-dive analysis. While not building AI models, the role uses AI tools to accelerate development and insight generation, and works with data that fuels AI initiatives. | — | 5 |
| Senior Lead AI Solutions Consultant This role is a Senior Lead AI Solutions Consultant at Braze, a customer engagement platform. The primary responsibility is to drive revenue by increasing understanding and adoption of the BrazeAI portfolio. This involves acting as a pre-sales data scientist to scope use cases, establish credibility with enterprise data scientists, run proofs-of-concept, and lead AI Academies and educational programs. The role requires collaboration with technical and non-technical stakeholders to transform customer lifecycle marketing. | — | 5 |
| Senior Lead AI Solutions Consultant This role is a Senior Lead AI Solutions Consultant at Braze, a customer engagement platform. The primary focus is on driving revenue by increasing understanding and adoption of the BrazeAI portfolio. Responsibilities include scoping use cases, running proofs-of-concept, leading AI Academies, and educating stakeholders on AI concepts and benefits, particularly in the context of customer lifecycle marketing. The role requires collaboration with sales, product, and engineering teams, and a strong understanding of machine learning and the marketing technology ecosystem. The role is customer-facing and pre-sales oriented, rather than directly building or researching AI models. | — | 5 |
| Senior Lead AI Solutions Consultant This role is a pre-sales Solutions Consultant focused on the BrazeAI product portfolio, driving adoption and revenue by scoping use cases, running proofs-of-concept, and educating enterprise clients on AI concepts. It involves collaborating with technical and non-technical stakeholders to transform customer lifecycle marketing. | — | 5 |
| Senior Lead AI Solutions Consultant This role is a Senior Lead AI Solutions Consultant at Braze, a customer engagement platform. The primary focus is on driving revenue by increasing understanding and adoption of the BrazeAI portfolio. Responsibilities include scoping use cases, running proofs-of-concept, leading AI Academies, and collaborating with technical and non-technical stakeholders to transform customer lifecycle marketing. The role requires expertise in machine learning, particularly reinforcement learning, and understanding of the marketing technology ecosystem. It is a customer-facing role focused on pre-sales support for AI products. | — | 5 |
| Senior Solutions Consultant, Media and Entertainment This role is a Senior Solutions Consultant focused on the Media and Entertainment sector. The primary responsibility is to lead complex pre-sales opportunities by understanding customer goals and mapping them to Braze solutions, including AI features. The role involves technical storytelling, delivering product demonstrations, and supporting technical validations. It requires deep collaboration with Sales, Product, Security, and Marketing teams, and staying current with new Braze capabilities, including BrazeAI features like AI Decisioning Studio, AI Content Optimizer, and AI Agents. The role also involves mentoring other Solutions Consultants and helping customers adopt new capabilities. | — | 5 |
| Senior Solutions Consultant, Media and Entertainment This role is a Senior Solutions Consultant for Braze, a customer engagement platform. The role focuses on pre-sales technical storytelling, partnering with sales and other teams to help customers understand and invest in Braze's capabilities, including its AI features. The consultant will lead complex pre-sales opportunities, deliver product demonstrations, design technical validations, and collaborate across teams to ensure customer success. They will also mentor other consultants and stay current with new Braze capabilities, including AI features like AI Decisioning Studio, AI Content Optimizer, and AI Agents. | — | 5 |
| Senior AI Success Manager The AI Success Manager role at Braze focuses on ensuring customer success with AI-powered products, driving renewals and upsells, and acting as a liaison between customers and product/marketing teams. This role involves understanding customer business contexts, guiding them on Braze's value proposition, conducting data analysis, and communicating insights. While not directly building AI models, the role is deeply involved in the application and success of AI within customer marketing technology solutions. | — | 5 |
| Senior AI Success Manager The AI Success Manager role at Braze focuses on ensuring customer success with AI-powered products, driving renewals and upsells, and acting as a liaison between customers and product/marketing teams. This role involves understanding customer business contexts, guiding them on Braze's value proposition, conducting data analysis, and communicating insights. While not directly building AI models, the role is deeply involved in the application and success of AI within customer marketing technology solutions. | — | 5 |
| Senior AI Success Manager The AI Success Manager role at Braze focuses on ensuring customer success with AI-powered products, driving renewals and upsells, and acting as a liaison between customers and product/marketing teams. This role involves understanding customer business contexts, guiding them on Braze's value proposition, conducting data analysis, and communicating insights. While not directly building AI models, the role is deeply involved in the application and success of AI within customer marketing technology solutions. | — | 5 |
| Senior AI Success Manager The AI Success Manager role at Braze focuses on ensuring customer success with AI-powered products, driving renewals and upsells, and acting as a liaison between customers and product/marketing teams. This role involves understanding customer business contexts, guiding them on Braze's value proposition, conducting data analysis, and communicating insights. While not directly building AI models, the role is deeply involved in the application and success of AI within customer marketing technology solutions. | — | 5 |
| Lead Solutions Consultant, Retail This role is for a Lead Solutions Consultant in the Retail segment, focusing on pre-sales opportunities. The consultant acts as a trusted advisor, bringing product expertise and strategic vision to prospective customers. Responsibilities include leading complex evaluations, owning the technical sales motion, delivering product demonstrations, and designing technical validations. The role also involves partnering with Sales, Product, Security, and Marketing teams, and mentoring other Solutions Consultants. A key aspect is helping customers adopt new Braze capabilities, including AI features like AI Decisioning Studio, AI Content Optimizer, and AI Agents. | — | 5 |
| Lead Solutions Consultant, Retail Lead Solutions Consultant for Braze's Retail segment, focusing on pre-sales technical expertise and customer advisory. This role involves leading complex evaluations, owning the technical sales motion, and partnering with various internal teams to drive customer outcomes. The role also requires staying current with Braze's AI features and helping customers adopt them. | — | 5 |
| Lead Solutions Consultant, Retail Lead Solutions Consultant for the Retail segment, focusing on pre-sales opportunities and acting as a trusted advisor to prospective customers. This role involves owning the technical sales motion, delivering product demonstrations, designing technical validations, and partnering with various internal teams. The role also requires staying current with Braze's AI capabilities and helping customers adopt them. | — | 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 |
| Principal I, Strategic AI Sales This role is a Principal I, Strategic AI Sales at Braze, focusing on selling Braze AI solutions to enterprise customers. The role involves collaborating with sales teams, engaging senior customer relationships, identifying high-impact applications of AI, quantifying impact, and participating in Proofs of Value. It also requires training colleagues on AI concepts like reinforcement learning and communicating customer needs to product and marketing teams. The ideal candidate has experience in enterprise sales, consulting, marketing technology, AI, or marketing, with strong business acumen and communication skills. | — | 5 |
| Principal I, Strategic AI Sales This role is a Principal I, Strategic AI Sales at Braze, focusing on selling Braze AI solutions to enterprise customers. The role involves collaborating with sales teams, engaging senior customer relationships, identifying high-impact applications of AI, quantifying impact, and participating in Proofs of Value. It also requires training colleagues on AI concepts like reinforcement learning and communicating customer needs to product and marketing teams. The ideal candidate has experience in enterprise sales, consulting, marketing technology, AI, or marketing, with strong business acumen and communication skills. | — | 5 |
| Principal I, Strategic AI Sales This role is a Principal I, Strategic AI Sales at Braze, focusing on selling Braze AI solutions to enterprise customers. The role involves collaborating with sales teams, engaging senior customer relationships, identifying high-impact applications of AI, quantifying impact, and participating in Proofs of Value. It also requires training colleagues on AI concepts like reinforcement learning and communicating customer needs to product and marketing teams. The ideal candidate has experience in enterprise sales, consulting, marketing technology, AI, or marketing, with strong business acumen and communication skills. | — | 5 |
| Principal I, Strategic AI Sales This role is a Principal I, Strategic AI Sales at Braze, focusing on selling Braze AI solutions to enterprise customers. The role involves collaborating with sales teams, engaging senior customer relationships, identifying high-impact applications of AI, quantifying impact, and participating in Proofs of Value. It also requires training colleagues on AI concepts like reinforcement learning and communicating customer needs to product and marketing teams. The ideal candidate has experience in enterprise sales, consulting, marketing technology, AI, or marketing, with strong business acumen and communication skills. | — | 5 |
| Engagement Manager II The Engagement Manager II role is part of the AI Expert Services team, focusing on the deployment of OfferFit by Braze's AI decisioning solutions for marketers. This role involves leading the entire AI deployment lifecycle, from use case design and technical setup to user acceptance testing, facilitating technical workshops, managing customer relationships, driving process improvements for the AI deployment playbook, and influencing the product roadmap. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Senior Director, Internal Audit This role is for a Senior Director of Internal Audit in a public SaaS company. The primary focus is on leading and evolving global Internal Audit functions, balancing operational efficiency with rigorous independence. The role involves developing a multi-year audit plan, directing a comprehensive audit program, scaling a global team, and building a continuous monitoring and AI-enabled testing program. It also includes overseeing SOX assurance, partnering with Legal on AI, Cybersecurity, and Data Privacy initiatives, managing the relationship with the Audit Committee, and optimizing the Workiva platform. Experience with AI governance frameworks and the application of AI agents/automation in audit workflows is desired. | — | 1 |
| People Business Partner This role is for a People Business Partner at Braze, a customer engagement platform. The role focuses on providing strategic and tactical HR support to senior leaders, partnering on talent planning, workforce planning, and organizational design. It also involves advising employees on career goals and leading company-wide initiatives. The ideal candidate has 5+ years of HR business partner experience, strong understanding of HR best practices and employment law, and excellent communication and organizational skills. | — | 0 |
| Lead People Business Partner This role is for a Lead People Business Partner supporting the Global Revenue organization at Braze. The primary focus is on providing strategic HR support, coordinating People Business Partners in AMER, and partnering with global counterparts to drive cohesive people strategies. Key responsibilities include talent planning, organizational design, and leading HR initiatives for the Revenue organization. The role requires extensive experience in HR business partnering within the SaaS technology industry, particularly supporting Revenue and go-to-market functions. | — | 0 |
| Lead People Business Partner This role is for a Lead People Business Partner supporting the Global Revenue organization at Braze. The primary focus is on providing strategic HR support, coordinating People Business Partners in AMER, and partnering with global counterparts to drive cohesive people strategies. Key responsibilities include talent planning, organizational design, and leading HR initiatives for the Revenue organization. The role requires extensive experience in HR business partnering within the SaaS technology industry, particularly supporting Revenue and go-to-market functions. | — | 0 |
| IT Associate This role provides technical assistance to employees, handling service desk requests, account provisioning/de-provisioning, hardware and software troubleshooting (macOS/iOS), network connectivity support, and IT asset inventory management. | — | 0 |
| Senior Account Manager, Enterprise This role is for a Senior Account Manager at Braze, a customer engagement platform company that uses AI. The role focuses on partnering with Enterprise Account Executives to maximize customer value, develop relationships, and drive commercial expansion through upsell and cross-sell opportunities. It is a quota-carrying position with targets up to $100K. | — | 0 |
| Team Lead, Email Deliverability This role is a Team Lead for Email Deliverability at Braze, a customer engagement platform. The position involves leading a regional team of deliverability experts, managing a book of business, providing advanced support to customers and internal teams, and partnering with cross-functional teams to improve email programs and customer experience. The role requires strong understanding of email deliverability, experience coaching consultants, and a consultative approach to issue analysis and problem-solving. It is not directly AI/ML related, but focuses on optimizing a core communication channel for a consumer-facing product. | — | 0 |
| Team Lead, Email Deliverability This role is a Team Lead for Email Deliverability at Braze, a customer engagement platform. The position involves leading a regional team of deliverability experts, managing a book of business, providing advanced support to customers and internal teams, and partnering with cross-functional teams to improve email programs and customer experience. The role requires strong understanding of email deliverability, experience coaching consultants, and a consultative approach to issue analysis and problem-solving. It is not directly AI/ML related, but focuses on optimizing a core communication channel for a consumer-facing product. | — | 0 |
| Team Lead, Email Deliverability This role is a Team Lead for Email Deliverability at Braze, a customer engagement platform. The position involves leading a regional team of deliverability experts, managing a book of business, providing advanced support to customers and internal teams, and partnering with cross-functional teams to improve email programs and customer experience. The role requires strong understanding of email deliverability, experience coaching consultants, and a consultative approach to issue analysis and problem-solving. It is not directly AI/ML related, but focuses on optimizing a core communication channel for a consumer-facing product. | — | 0 |
| Team Lead, Email Deliverability This role is a Team Lead for Email Deliverability at Braze, a customer engagement platform. The position involves leading a regional team of deliverability experts, managing a book of business, providing advanced support to customers and internal teams, and partnering with cross-functional teams to improve email programs and customer experience. The role requires strong understanding of email deliverability, experience coaching consultants, and a consultative approach to issue analysis and problem-solving. It is not directly AI/ML related, but focuses on optimizing a core communication channel for a consumer-facing product. | — | 0 |