Applied AI Architect

ABOUT THE ROLE We are seeking an Applied AI Architect to join our team at Braze, a global SaaS company that is pioneering the use of AI in modern revenue teams. As an Applied AI Architect, you will play a key role in shaping the future of AI-enabled GTM execution at Braze, working with a sophisticated enterprise customer base and a large customer-facing organization. WHAT YOU'LL DO As an Applied AI Architect, you will be responsible for owning a defined surface area across the revenue lifecycle and using AI to transform how Braze executes within it. You will operate across three modes simultaneously: as the practitioner whose field judgment the agents in your domain are modeled after, as the builder who designs and refines those agents on top of shared infrastructure, and as the observer who determines whether the outputs are actually changing how GTM teams engage with customers and prospects. Your success will be measured by whether practitioners adopt the outputs, whether those outputs improve behavior at critical moments, and whether that behavioral change produces measurable revenue and customer impact. Your key responsibilities will include: - Conducting stakeholder research across the GTM motion to identify intelligence gaps, workflow friction, and handoff failures - Building and refining AI agents tailored to your area of the revenue lifecycle, contributing directly to system architecture, retrieval logic, and output calibration - Staying embedded in regional operating rhythms, including pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions - Owning the reliability and quality of the systems you manage, monitoring adoption, diagnosing output failures, and tuning/iterating continuously - Contributing to the shared knowledge hub by validating field signals, structuring deals and customer patterns, and ensuring that intelligence captured across the revenue lifecycle flows back in a form that produces better agent outputs - Recognizing patterns across your area and scaling what works - Partnering with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership to ensure the systems you build are grounded in a cross-functional context and adopted by the people they serve - Helping shape what this function becomes as the technology and the role category mature WHAT YOU'LL NEED To be successful in this role, you will need to have a strong background in AI and a proven track record of building AI systems that scale practitioner judgment beyond what any individual can. You should be highly autonomous, technically minded, self-directed, and comfortable operating as a senior individual contributor in a new domain. You should also have a deep understanding of the revenue lifecycle and be able to translate that experience into AI systems that scale practitioner judgment. WHY REMOTE As a remote employee at Braze, you will have the flexibility to work from anywhere in the world, while still being part of a global team that is passionate about using AI to transform the way businesses operate. You will have the opportunity to work with a sophisticated enterprise customer base and a large customer-facing organization, and to contribute to the development of cutting-edge AI systems that are changing the face of modern revenue teams. BENEFITS Braze offers a comprehensive benefits package, including a competitive salary, health insurance, parental leave, education stipend, life insurance, equipment stipend, and flexible