Braze

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This role is a Senior Lead AI Solutions Consultant at Braze, a customer engagement platform company. 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 educational programs like AI Academies. The role requires collaboration with technical and non-technical stakeholders to transform customer lifecycle marketing.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The AI Success Manager role at Braze focuses on ensuring customer success with AI features within the Braze platform. This involves collaborating with internal teams and customers to drive renewals, upsells, and expansions by overseeing the design and execution of AI use cases. The role also acts as the voice of the customer for product development, conducts analysis of results, and builds presentations to communicate insights and value. While the company and product heavily feature AI, this specific role is customer-facing and product-focused rather than directly building AI models or infrastructure.

This role is for an AI Deployment Engagement Manager who will own the program execution process for scoping, designing, and configuring Braze AI Decisioning Studio use cases. The role involves leading technical workshops, managing customer engagements, driving process improvement for AI deployment playbooks, and influencing the product roadmap. It requires a blend of technical expertise, project leadership, and client management skills.

This role is for a Principal, Strategic AI Sales at Braze, a customer engagement platform company. The primary focus is on selling Braze AI solutions to enterprise clients, collaborating with sales and technical teams, and quantifying the impact of AI applications. The role involves engaging with senior customer relationships, participating in proofs of value, and communicating customer needs to product and marketing teams. While the company and its product heavily feature AI, this specific role is in sales, not in building or researching AI models.

This role is for a Principal, Strategic AI Sales at Braze, focusing on winning and growing business for Braze AI. The individual will collaborate with the sales team, engage with senior customer relationships, and work with pre- and post-sales teams to identify high-impact applications of their AI solution. Responsibilities include leading customer discussions, quantifying AI impact, training colleagues on reinforcement learning in marketing, participating in Proofs of Value, communicating customer needs to product and marketing teams, and representing Braze AI at events.

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.

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.

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.

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.

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.