About the Role
As AI Engineer, Growth, you will be the second builder on an AI-native growth engine that automates distribution decisions, generates creative at scale, and compounds intelligence across products. You will build agent orchestrations, automated workflows, and system integrations that power paid growth, lifecycle messaging, organic search, conversion optimization, incentives, referrals, and other growth levers.
Responsibilities
- Agent orchestration workflows across growth use cases — automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers
- Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools
- Shared agent infrastructure components — reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from
- Monitoring and audit logging — ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement
- Creative and content generation pipelines — automating the brief-to-variant-to-distribution loop across growth channels
Requirements
- 3+ years building automation workflows, integrations, or agentic systems — using AI orchestration platforms, workflow automation tools, or equivalent technologies
- Strong understanding of API integrations — REST, webhooks, authentication patterns, and error handling at scale
- Experience working with LLM APIs — prompt engineering, structured outputs, tool use, and agent chaining
- Comfort working from a spec — you can take a workflow design and build it accurately without the architect in the room
- Growth or marketing context — you understand what you’re building toward, not just how to build it
- Speed and quality in balance — you ship fast and you care what you ship
Nice to Have
- Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems
- Familiarity with data warehouse query patterns and event tracking infrastructure
- Background in a high-growth fintech, consumer tech, or multi-product technology environment
- Experience designing multi-agent architectures or complex agent-to-agent workflows
Additional Information
- Applications are accepted on an ongoing basis unless a specific deadline is stated.
- Applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
- The company considers qualified applicants with criminal histories for employment, assessing candidates consistent with the San Francisco Fair Chance Ordinance.
- Candidates may be asked to complete job-related skills or work-style assessments as part of the hiring process.
- Assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.
- Results from assessments are considered alongside experience and interviews and are not the sole basis for employment decisions.
- The company is an equal opportunity employer and does not tolerate discrimination or harassment based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic.
