# Staff AI Marketing Systems Engineer

**Company:** [1Password](https://hotfix.jobs/companies/1password)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** LLMs, LLM APIs, Tool Calling, Retrieval-Augmented Generation, Structured Outputs, AI Agents, Agent Frameworks, Claude, Codex, Salesforce, Seismic, Gong, Notion, Snowflake
**Posted:** 2026-08-19

> Build and operate production AI agent systems that help Sales and Marketing teams with account planning, deal support, competitive intelligence, and content creation. The role requires 6+ years of experience shipping reliable LLM workflows with retrieval, tool use, permissions, evaluation, and observability.

## Job Description

## Responsibilities
- Discover and define seller, product marketing, and campaign workflows through direct observation and stakeholder conversations.
- Design agent runtime and application architecture for context, state, tools, permissions, retrieval, evaluation, and human review.
- Define trusted knowledge flows across account, persona, product, competitive, and campaign information, including freshness, provenance, and conflicting sources.
- Build routing systems and specialist agents for sales assets, campaign briefs, competitive responses, copy production, and active-deal support.
- Integrate AI systems with Salesforce, Seismic, Gong, Notion, Snowflake, Slack, and existing Sales AI tools.
- Implement permission-aware retrieval, authorization, audit trails, prompt-injection defenses, retention controls, and safe autonomy boundaries.
- Evaluate and improve agent behavior using evaluation sets, seller feedback, usage data, and quality signals.
- Build evaluation frameworks, regression pipelines, release checks, escalation paths, and human-review workflows.
- Own the roadmap and lifecycle from prototype through production, monitoring performance, quality, latency, usage, and cost.

## Requirements
- 6+ years designing, building, and operating production workflows using LLM APIs, tool calling, retrieval, structured outputs, and agent workflows.
- Experience shipping AI-enabled software used by real users and improving it through evaluation and feedback.
- Experience designing agent boundaries, context and state management, permission-aware tools, evaluation, observability, failure handling, and human review.
- Ability to define technical requirements from real business workflows and own product and workflow decisions.
- Experience partnering with Sales, Marketing, Data, Security, IT, and Engineering teams.

## Compensation and Benefits
- Remote opportunity within Canada and the United States.

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**Canonical:** https://hotfix.jobs/jobs/a946d08e-9494-4af3-9eb4-f737c10d0543