Operator Jobs

About The Position

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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
• 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
• 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

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program