Staff AI Marketing Systems Engineer

Responsibilities

• Design trusted knowledge flows: Define how the system finds, evaluates, and uses account, persona, product, competitive, and campaign information. Make thoughtful decisions about source-of-truth systems, information freshness, conflicting sources, structured and unstructured data, and provenance.
• Build routing and specialist agents
• Build the routing and execution system that selects the right tools, data sources, and specialist agents for each request. Cover sales asset generation, campaign briefs, competitive responses, copy production, and field support for active deals.
• Design for trusted access and safe autonomy
• Design and test permission-aware retrieval, source-level authorization, audit trails, provenance capture, prompt injection defenses, retention and deletion controls, and safe handling of customer and account information. Define where agents can act independently, where human approval is required, and how the system…
• Build quality and reliability guardrails
• Build evaluation frameworks, regression pipelines, release checks, and escalation paths that keep outputs accurate, useful, on-brand, and consistent. Define how workflows handle uncertainty, failure, and human review. Production output is valuable only when it is trustworthy and useful to the teams receiving it.

Languages