AI Architect

Braze•San Francisco, CA

1d•Hybrid

About The Position

The AI Architect accelerates adoption of BrazeAI capabilities and services by working directly with customers to identify and prioritize use cases and activate their first AI and agentic use cases. The role educates and advises marketers at different stages of their AI transformation, helping them get value from their AI investments. This includes workshops, diagnostics, and accelerators that guide customers through ideation, prototyping, and launch of BrazeAI agents. The role is consultative and combines deep knowledge of Braze core capabilities—including Canvas, Catalogs, Content Blocks, Liquid, and data ingestion—with an understanding of marketing strategies and effective applications of BrazeAI. The AI Architect builds trusted relationships with technical and non-technical stakeholders, leads with curiosity, and helps customers evolve their marketing strategies with AI. The position is based in New York and supports the AMER region, with travel of up to 25% at peak times.

Requirements

At least 4 years of experience in a customer-facing technical role, such as solutions consulting, sales engineering, technical account management, customer success, or marketing technology consulting.
Experience working directly with enterprise customers and developing strong consultative relationships.
Demonstrated ability to persuade and influence others without owning the account.
Experience facilitating workshops, hackathons, enablement programs, or embedded consulting engagements.
Strong presentation and facilitation skills, including the ability to engage marketers with different skill levels and adapt messaging for marketers and executives.
Sufficient experience with Braze to assess Canvases, Catalogs, and broader strategies and identify opportunities for BrazeAI to improve business outcomes.
Understanding of how generative AI and agents apply to marketing, including prompt design, guardrails, evaluation, testing, and optimization.
Experience with MCP, LLM tooling, or building skills and templates for AI assistants.
Ability to build business cases and/or measure return on investment for AI investments, particularly in a credit-consumption model.
Understanding of the marketing technology ecosystem and ability to recommend effective customer solution structures, with domain knowledge in at least two of AI and LLMs, SaaS, marketing automation, marketing analytics, APIs, SQL and Liquid, or mobile.
Ability to structure work plans, define objectives, prioritize activities across multiple engagements, and build processes while working.
Ability to break complex problems into components and collaborate with others to reach solutions efficiently.
Strong written and verbal English-language skills.

Nice To Haves

Hands-on experience with Agent Console, Operator, Decisioning Studio, or Content Optimizer.
Depth in a major Braze customer vertical, such as retail and eCommerce, QSR, gaming, media, or financial services.

Responsibilities

Lead customer engagements focused on driving adoption of BrazeAI capabilities and services.
Run BrazeAI workshops that help marketers build or prototype agents and develop ways to measure their impact.
Lead 2–6 week AI Accelerator engagements, guiding customers from use-case ideation through launch and initial impact reporting.
Conduct AI Diagnostics by assessing customers’ messaging programs, data, and current BrazeAI use; benchmarking maturity; and delivering prioritized actions and a readiness assessment for AI Expert Services add-ons.
Demonstrate and document best practices, playbooks, and AI solution recipes for customers and key partners.
Work with customers to identify and prioritize use cases that support their business goals.
Identify technical hurdles to BrazeAI adoption and resolve organizational friction that prevents decisions and adoption.
Recommend Professional Services partners when customers need additional or extended support, and transition context and diagnostics to other services teams.
Provide internal and external thought leadership on how AI can help marketing teams achieve better business outcomes.
Collaborate with account management, customer success, professional services, AI success, product, marketing, learning, and community teams to improve Braze products and external materials.

Benefits

Competitive compensation that may include equity.
Retirement and Employee Stock Purchase Plans.
Flexible paid time off.
Comprehensive benefit plans covering medical, dental, vision, life, and disability.
Family services that include fertility benefits and equal paid parental leave.
Professional development through formal career pathing, learning platforms, and a yearly learning stipend.
Curated in-office employee experience designed to foster community, team connections, and innovation.
Opportunities to give back through an annual company-wide Volunteer Week and donation matching.
Employee Resource Groups.
Hybrid ways of working.
Equity grants of restricted stock (RSUs).