Architect Marketing Agent Engineer

Salesforce · New York, New York

About the Role

The Marketing Agent Engineer is an embedded hands-on technical builder who sits directly inside the Salesforce Marketing function. This role exists to identify the workflows that consume the most time across Marketing — campaign creation, audience building, content production, performance reporting — and build the agents that handle them end to end.

This is not an IT role and not a consulting role. You are embedded inside Marketing, reporting to Marketing leadership, working alongside the people who do the work every day. Your success is measured in workflow hours saved and campaigns shipped faster — not tickets closed.

We are looking for someone who can build and think. You are as comfortable designing a workflow on a whiteboard as you are connecting systems and shipping a working agent the same week. You understand that automating a marketing workflow is not just a technical problem — it involves brand judgment, stakeholder approvals, and decisions that have to stay human. You know where to draw that line and you build accordingly.

Key Responsibilities

Workflow Discovery & Mapping

  • Embed with Marketing strategy and operations leads to identify the highest-value, most time-intensive repeatable workflows across the function

  • Map each workflow end to end — every step, every handoff, every decision point — and identify where agents can take over and where humans need to stay in the loop

  • Prioritize across a long list of possible workflows and maintain a clear roadmap of what gets built next

Building & Connecting

  • Build agents that handle full workflows — drafting campaign briefs, pulling performance data, routing approvals, generating content — connected to the tools Marketing already uses: Salesforce, Marketing Cloud, Slack, Google Workspace

  • Connect agents securely to internal systems, managing access and permissions in line with Digital Enterprise Technology, Security and Data Classification requirements

  • Iterate fast. Ship working agents, learn from the team using them, and improve continuously

Measurement & Communication

  • Define clear success metrics for every workflow automated — time saved, steps removed, error rates reduced

  • Write and maintain a roadmap that non-technical Marketing leaders can read, understand, and make decisions from

  • Communicate trade-offs clearly. Not every workflow should be automated - know the difference and be able to explain it

  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

  • Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

  • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

Required Qualifications

  • 9+ years of experience building software, automated workflows, or systems integrations — you have shipped real things that real people use

  • Demonstrated experience connecting enterprise tools via APIs, MCP — Salesforce, Slack, Google Workspace, or similar

  • Experience designing or building AI-assisted workflows — you have worked with agents or large language models in a production setting, not just experimentation

  • Strong written communication — you can write a workflow map, a project brief, and a stakeholder update with equal clarity

  • Experience working directly with a business team — marketing, sales, operations, or similar.

Preferred Qualifications

  • Hands-on experience with Agentforce, Marketing Cloud, or the Salesforce platform

  • Background that spans both engineering and product or operations — you have played both roles, formally or informally

  • Experience as a founding engineer, early-stage startup operator, or in a role where you had to build without much infrastructure around you

  • Salesforce certifications: Administrator, Marketing Cloud, or Agentforce Specialist

  • A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty

  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows

  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

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