Monarch Money - Agentic Ops Lead
Requirements
• 5+ years of experience building workflow automations, AI-powered agents, or business process tooling in a professional setting (not just personal projects) • Hands-on proficiency with at least two of: n8n / Make / Zapier, LLM APIs (Claude, OpenAI), low-code/no-code agent frameworks • Strong business process instinct: you see a 12-step manual workflow and immediately know which 8 steps can be automated • Ability to embed with non-technical teams, earn trust quickly, and translate their pain points into working solutions • Clear written and verbal communication skills : you'll be training people, writing documentation, and presenting results to leadership • Bias toward shipping: you build the v1 in days, not weeks • Familiarity with product and design workflows and tools (Linear, Figma, Notion) • Background in consulting, operations, or change management • Experience building in n8n specifically (our current automation platform) • Understanding of prompt engineering and agent architecture patterns • What This Role Is Not: • This role sits at the intersection of several disciplines, so it's worth being specific: • Not a software engineer. You're not building infrastructure or shipping product code. You're automating business processes and building agents that make teams more effective. • Not a software engineer. • Not purely a trainer. You'll train teams during each engagement, but you're primarily a builder who teaches as a byproduct of implementation. We have a separate enablement function for company-wide training programming. • Not purely a trainer. • Not a researcher. You evaluate tools when needed, but the core job is building, deploying, and iterating -- not writing reports. • Not a researcher. • Typical Process: • Typical Process: • Recruiter Video Call • Hiring Manager Video Call • Virtual "onsite" round consisting of 2 rounds • Take Home Assignment + Presentation • Reference Checks
Responsibilities
• Own and evangelize the "ai enablement map" across the company, where are we using AI, low to high, etc. • Embed with teams to find and fix inefficiency: Rotate through functions (Product, Design, Marketing, Support, and beyond) in 1-2 week engagements. Audit workflows, map repetitive tasks, identify the highest-leverage automation opportunities, build the solution, train the team, and document the results. • Embed with teams to find and fix inefficiency • Build agents and automations: Develop task-specific AI agents and workflows (e.g., copywriting agents in Linear, research synthesis tools, automated status updates, monitoring bots) using whatever ships fastest: n8n, Claude, MCP integrations, Notion automations, or custom tooling. • Build agents and automations • Create reusable enablement materials: Build prompts, recipes, and templates that teams can self-serve from after your engagement ends. Make the work stick. • Create reusable enablement materials • Evaluate and govern AI tools: Support AI tool POCs (Cursor, Replit, V0, and whatever comes next), maintain documentation on approved tools and best practices, and feed learnings back into company-wide AI fluency programming. • Evaluate and govern AI tools • Measure and communicate impact: Track what worked, what didn't, and quantify time/effort saved. Present results to leadership and use them to prioritize future engagements. • Measure and communicate impact
Benefits
• $160K – $180K • Offers Equity • We value each employee based on their impact within the company. • Due to this, we set salary ranges for all roles based on function, level, and benchmark against similar-stage growth companies. We share salary ranges on all job postings to comply with local legislation and provide greater transparency to candidates. • Final offer amounts are determined by multiple factors, including past candidate experience and expertise, and may vary from the amounts listed above. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • For example: she/her, he/him, they/them, ze/hir, ze/zir etc. • Best number to reach you • or drag and drop here • To help with scheduling • Tell me about an automation or AI agent you've built recently for another team to increase productivity. What was the problem, what did you build, what was the outcome — and are they still using it? • Anything else you think we should know?
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