Applied AI Architect

Braze•San Francisco, CA

1d•$123,000 - $184,000•Hybrid

About The Position

Braze is building an Applied AI function for its GTM organization to help pioneer how modern revenue teams operate with AI. This is a chance to work at the frontier of AI-enabled GTM execution at a scaled global SaaS company with sophisticated enterprise customers, advanced buyers, and a large customer-facing organization. The team encodes the judgment of its best practitioners into systems that extend it across the entire revenue org, creates feedback loops that surface where execution can improve, and builds the AI-powered systems that make every GTM team member more effective at the moments that matter most. This team is field-attached, product-minded, and outcome-driven. We treat GTM practitioners as users and their workflows as product surfaces. We build agents, intelligence layers, automations, and decision-support tools, then tune and refine them based on adoption, output quality, field feedback, and business impact. The goal is practical AI that earns trust in live GTM workflows and creates durable value at scale.

Requirements

6+ years of professional experience in a GTM role with direct involvement in the commercial motion: Solutions Consulting, Solutions Architecture, Account Executive, Sales Leader, GTM strategy, or a comparable role at a B2B SaaS company
Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes, with concrete examples you can speak to in depth
Technical fluency sufficient to engage credibly on integration architecture, evaluate agent outputs at the system level, and contribute directly to prompt design, retrieval logic, and data workflows (e.g., Python, APIs, integrations) without always requiring translation from an engineering counterpart
Strong understanding of enterprise sales workflows, deal stages, and the daily operating reality of the GTM personas you will be building for: AEs, SCs, BDRs, sales leadership, CS, and business value teams
Strong field credibility with experience in executive-level customer engagement, sufficient to walk into an opportunity or executive business review and have the room take the output seriously
A track record of taking solutions from problem identification through field adoption, not just building and handing off
Comfort working across multiple workstreams simultaneously, balancing field engagement with system build and continuous refinement
Highly autonomous, self-directed, and comfortable operating as a senior individual contributor

Nice To Haves

Product Management background or experience, either as a career transition into GTM or as a complement to a field role, with demonstrated ability to ship things people actually use
Experience in Solutions Consulting, Solutions Engineering, or field architecture roles within enterprise SaaS
Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Cursor, custom agent frameworks, API integrations, workflow automation tools)
Familiarity with enterprise SaaS technology stacks (e.g., Salesforce, Gong, Slack, Snowflake)
Experience building and scaling internal tools or systems that were adopted beyond your immediate team
Analytical capability sufficient to evaluate deal data, diagnose output failures, and build data-driven recommendation systems

Responsibilities

Conduct stakeholder research across the GTM motion, from pre-sales through post-sales, to map where intelligence gaps, workflow friction, and handoff failures are most acute. Translate findings into a structured and prioritized backlog of problems to solve, including problem statements, impact, and feasibility scoring, dependencies, and stakeholders.
Build and refine AI agents tailored to your area of the revenue lifecycle, contributing directly to system architecture, retrieval logic, and output calibration on top of shared infrastructure. Ship working solutions against real workflows
Stay embedded in regional operating rhythms: pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions. The system gets better because the individuals building it never leave the commercial and customer motion. Field proximity is the operating discipline.
Own the reliability and quality of the systems you manage. Monitor adoption, diagnose output failures, and tune/iterate continuously. You are not handing off to an ops team. You operate what you ship.
Contribute 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.
Recognize patterns across your area and scale what works. A system built for one account scenario, customer segment, or deal stage should become reusable infrastructure for adjacent situations.
Partner 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.
Help shape what this function becomes as the technology and the role category mature. The playbook is being written in real time, and you will be one of the authors.

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 supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze
Collaborative, transparent, and fun culture recognized as a Great Place to Work®