Staff AI Marketing Systems Engineer - 1Password

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today.

The Role

1Password's Solutions Marketing team is responsible for the stories, use cases, competitive narratives, and go-to-market (GTM) assets that sellers rely on every day. Solutions Marketing is building an AI-native service for Sales. Instead of asking sellers to search static playbooks and personalize assets for each of their accounts themselves, the AI service will create signal-driven guidance, personalized messaging, and always-current content for each selling situation.

You’ll build and operate the internal AI services that help sellers find current market intelligence, create tailored sales assets, and respond to deal signals without relying on static playbooks. This role is responsible for designing, building, and running the agent systems that support sellers across account planning, active deals, campaigns, competitive positioning, and sales enablement. You’ll work with large language model providers, coding agents, retrieval systems, and modern agent frameworks (e.g., Claude, Codex, and other tools selected for reliability, security, and fit).

This is an internal product engineering role. You’ll treat Sales and Marketing teams as users, build against their real workflows, and turn successful solutions into maintained capabilities that can serve the broader organization.

What You Will Build

• Discover and define workflows: Work directly with sellers, product marketing managers (PMMs), and campaign managers to map how they work today, where time is wasted, and what good output looks like.
• Define the agent runtime and application architecture: Design how the system manages context, state, tools, permissions, retrieval, evaluation, and human review. Define how it ingests account signals and playbook intelligence, routes requests to specialist agents, and surfaces outputs in the tools teams already use.
• Design trusted knowledge flows: Define how the system finds, evaluates, and uses account, persona, product, competitive, and campaign information.
• Build routing and specialist agents: Build the routing and execution system that selects the right tools, data sources, and specialist agents for each request.
• Integrate with Sales AI and go-to-market platforms: Connect the AI layer to the platforms 1Password runs on, including Salesforce, Seismic, Gong, Notion, Snowflake, and Slack.
• 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.
• Evaluate and improve agent behavior: Tune agent behavior using representative evaluation sets, seller feedback, usage data, and output quality signals.
• Build quality and reliability guardrails: Build evaluation frameworks, regression pipelines, release checks, and escalation paths that keep outputs accurate, useful, on-brand, and consistent.
• Operate and evolve the system: Own the roadmap and the full lifecycle of the systems you build, from prototype through reliable production use and eventual retirement.

What We Are Looking For

• Experience: 6+ years of experience in Marketing, GTM, Sales Operations, Marketing Operations, Data Science, Analytics Engineering, Software Engineering, or related systems roles.
• AI/LLM Hands-on Experience: At least 1-2 years of hands-on experience designing, building, and operating workflows that use large language model APIs, tool calling, retrieval, structured outputs, and agent patterns (2+ years preferred).
• Agent-system architecture: Experience designing workflows with clear agent boundaries, context and state management, permission-aware tool use, evaluation, observability, failure handling, and human escalation. Familiarity with tools such as Claude, Codex, Cursor, Dust, LangChain, or LangGraph is useful but not required.
• Technical judgment: Ability to choose the simplest reliable approach for the problem. Knowing when to use deterministic code, a workflow, retrieval, a single agent, multiple agents, or human review.
• Builder's instinct: A preference for putting a working prototype in front of a user today rather than writing a spec about what's theoretically possible next quarter.
• Evaluation: Experience building evaluation frameworks to measure agent output quality through prompt evaluations, output scoring, and regression testing against verified examples.
• User-centered delivery: Prototyping quickly with users, learning from real feedback, and turning what works into documented, reliable production systems.
• Cross-functional collaboration & communication: Translating workflow needs and feedback from PMMs, sellers, and campaign managers into clear technical requirements, and explaining system architecture and technical tradeoffs to engineers.

Preferred Qualifications

• Go-to-market fluency: Working knowledge of B2B SaaS marketing and sales workflows, including personas, buying stages, positioning, competitive narratives, campaigns, sales enablement, and content governance.
• Sales, marketing, and data platforms: Familiarity with Seismic, Salesforce, Gong, Notion, Snowflake, or Slack APIs; experience with integration platform as a service (iPaaS) tools for cross-system automation.