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Braze

Braze

www.braze.com

24 Jobs

1,915 Employees

About the Company

Braze ($BRZE) is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News Best Technology Companies to Work For, is a 2023 UK Best Workplace for Women by Great Place to Work, and was named a Leader by Gartner® in the 2023 Magic Quadrant™ for Multichannel Marketing Hubs and in The Forrester Wave™: Cross-Channel Marketing Hubs, Q1 2023. Braze is headquartered in New York with 10+ offices across North America, Europe, and APAC. Learn more at braze.com.

Listed Jobs

Company background Company brand
Company Name
Braze
Job Title
Senior Forward Deployed Data Scientist, AI Deployment
Job Description
**Job title** Senior Forward Deployed Data Scientist, AI Deployment **Role Summary** Partner with customer analytics and BI teams to design, build, and deploy AI and ML solutions at scale. Leverage Python, ML libraries, SQL, and infrastructure tools to implement data pipelines, model configurations, and reinforcement learning components that drive measurable business outcomes. Provide technical leadership and product insights across the Field Data Scientist group. **Expactations** - 3–5+ years of data science / ML engineering experience in production environments. - Strong customer‑facing or consulting background. - Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field; Master’s or PhD preferred. **Key Responsibilities** - Collaborate with customer Analytics/BI teams and internal stakeholders on use‑case definition, data integration, and pipeline design. - Develop reusable data pipelines, APIs, and components to extend product capabilities. - Work with RL pipeline team to refine and advance reinforcement‑learning algorithms. - Translate customer insights into product strategy contributions and roadmap input. - Offer ongoing technical guidance to ensure adoption, measurable outcomes, and long‑term customer success. **Required Skills** - Proficiency in Python (Pandas, NumPy), ML libraries (TensorFlow, Keras, scikit‑learn, CatBoost, XGBoost). - Advanced SQL for data querying and manipulation. - Experience building and deploying ML pipelines; knowledge of CI/CD, Git, testing, type‑hinting, code reviews. - Strong communication skills to explain technical concepts to diverse audiences. **Nice‑to‑have** - DevOps: Airflow, Kubernetes, Terraform, GCP. - Data integration/ETL, pipeline optimization. - Reinforcement learning (self‑learning) algorithms. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or equivalent. - Master’s or PhD in a related technical field (preferred). - Certifications in cloud platforms or ML (e.g., GCP, TensorFlow) are a plus.
London, United kingdom
Hybrid
Senior
24-11-2025
Company background Company brand
Company Name
Braze
Job Title
Senior Machine Learning Engineer
Job Description
**Job title:** Senior Machine Learning Engineer **Role Summary:** Design, develop, and scale production‑grade reinforcement learning pipelines for a data‑intensive AI platform. Collaborate with customers and cross‑functional teams to translate specific use cases into reusable, modular system components. Lead code quality initiatives, mentor peers, and drive continuous integration best practices. **Expectations:** - Deliver robust, well‑documented software using Python and associated data tools. - Demonstrate ownership of end‑to‑end ML lifecycle—from model design to deployment and monitoring. - Communicate effectively with stakeholders to capture requirements, provide status updates, and translate technical findings into business value. - Continuously improve engineering practices, tooling, and architectural decisions. **Key Responsibilities:** - Architect and implement modular, test‑driven components for self‑learning AI platforms. - Integrate ML models into production environments, ensuring performance, reliability, and scalability. - Collaborate with product, data science, and customer success teams to refine features and resolve customer challenges. - Maintain CI/CD pipelines, enforce code quality standards, and conduct code reviews. - Explore and adopt emerging data architecture and AI techniques. - Provide guidance on Python ecosystem best practices to teammates. **Required Skills:** - Strong proficiency in Python (including libraries such as Pyspark, Polars, Ibis). - Experience with SQL, BigQuery, and building APIs (e.g., FastAPI). - Hands‑on expertise with Kubernetes, Airflow, Terraform, and GCP. - Demonstrated ability to deploy ML models to production and manage their lifecycle. - Familiarity with supervised learning concepts. - Excellent written and verbal communication; ability to articulate technical ideas clearly. - Proven record of writing clean, object‑oriented, well‑tested code and mentoring others. - 2+ years in a product‑focused Python role, with at least 1 year in machine learning or data engineering. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent technical background. - Relevant certifications in cloud platforms (e.g., GCP, AWS, Azure) or ML engineering are a plus.
Toronto, Canada
Hybrid
Senior
25-11-2025
Company background Company brand
Company Name
Braze
Job Title
Support Engagement Lead
Job Description
**Job Title** Support Engagement Lead **Role Summary** Deliver premium, personalized technical support for a designated group of high‑value customers, serving as the primary technical advocate throughout the contract. Collaborate closely with Customer Success and Recurring Services to resolve escalations, drive platform adoption, and ensure outstanding customer experience. **Expectations** - Act as the central technical point of contact for assigned customers. - Own technical needs, inquiries, and escalations, ensuring timely resolution and customer satisfaction. - Proactively identify risk trends and recommend product enhancements or process improvements. - Build and maintain strong relationships with customers’ internal and partner technical teams. **Key Responsibilities** - Manage all technical support cases in the assigned customer portfolio, from intake to close. - Partner with Customer Success to align technical and strategic goals, facilitating smooth onboarding to ongoing engagement. - Lead technical escalations, coordinating cross‑team resources to resolve complex issues. - Analyze support history to spot trends, risks, and opportunities for improvement. - Develop Centers of Excellence with customers for knowledge sharing and best practices. - Conduct regular check‑ins, business reviews, and events to reinforce customer advocacy. - Serve as a technical advocate, championing customer requests for product enhancements. **Required Skills** - Exceptional written and verbal communication with strong listening and follow‑up abilities. - Advanced problem‑solving and analytical skills for technical issue resolution. - Ability to handle high‑pressure, time‑sensitive customer situations. - Strong organizational capacity to manage competing client demands. - Skilled in case‑management tools (Salesforce, Zendesk, or equivalent). - Technical knowledge of APIs, basic SQL queries; experience with Postman, Snowflake/Snowsight is a bonus. - Proven track record of collaborative work across cross‑functional teams. **Required Education & Certifications** - Bachelor’s degree from a four‑year institution (or equivalent experience). - 3–6 years of SaaS client‑facing experience, including 2–3 years in Technical Support and 1–2 years in account management.
Toronto, Canada
Hybrid
Senior
26-11-2025
Company background Company brand
Company Name
Braze
Job Title
Senior Business Systems Analyst
Job Description
Job Title: Senior Business Systems Analyst Role Summary Lead end‑to‑end project delivery and continuous improvement of the Sales and Marketing technology stack, acting as the primary liaison between business stakeholders and technical teams. Own, configure, and integrate key applications (Salesforce Sales Cloud, Gong, Outreach, People.ai, ZoomInfo, Marketo, Clari, Fullcast) to enhance automation, data quality, and system adoption, and drive AI‑enabled innovation across the sales and marketing lifecycle. Expectations - Deliver high‑impact technology solutions that directly improve sales and marketing performance. - Manage multiple concurrent initiatives with a proactive, data‑driven, results‑oriented approach. - Communicate complex technical concepts to non‑technical stakeholders and vice versa. - Keep abreast of industry trends to recommend and implement best practices and emerging AI tools. Key Responsibilities - Own the full project lifecycle for major Sales & Marketing initiatives, including planning, requirement elicitation, design, implementation, and post‑deployment support. - Act as SME for the Sales & Marketing technology stack, providing guidance, training, and roadmap recommendations. - Design, configure, and maintain critical applications, ensuring scalability, efficiency, and alignment with business goals. - Analyze sales and marketing processes to identify opportunities for automation, optimization, and data improvement, leveraging AI solutions. - Collaborate with engineering and data teams to develop custom integrations, reports, and dashboards; deliver actionable insights to go‑to‑market teams. - Create and execute comprehensive UAT and test plans to guarantee feature quality and system integrity. - Continuously assess and recommend enhancements to the technology stack to maintain competitive advantage. Required Skills - 5+ years as a Business Systems Analyst, with ≥2 years in a senior role focused on Sales and Marketing. - Deep expertise administering and optimizing enterprise applications (Salesforce Sales Cloud, Gong, Outreach, People.ai, ZoomInfo, Marketo, Clari, Fullcast). - Strong understanding of sales funnels (inquiry‑to‑lead, lead‑to‑opportunity, quote‑to‑cash) and marketing pipelines. - Proven ability to deliver AI‑driven automation and process improvement initiatives. - Excellent verbal, written, and presentation skills; able to translate technical concepts for business users and technical concepts for non‑technical audiences. - Analytical mindset with meticulous attention to detail; proven problem‑solving skills. - Experience with Agile/Scrum project management methodologies. - Ability to independently manage multiple projects and meet deadlines. Required Education & Certifications - Bachelor’s degree in Business, Information Technology, or related field. - Certifications (preferred): - IIBA Business Analysis Certifications (e.g., CBAP) or equivalent. - Agile Product Owner (e.g., SAFe PO). - Salesforce Administrator or Sales Cloud Consultant. - Certifications in key applications (Gong, Outreach). - Data analysis/reporting certifications (Looker, Tableau, Salesforce).
Chicago, United states
Hybrid
Senior
28-11-2025