What are the responsibilities and job description for the AI Marketing Ops/Engineer Consultant position at Right Side Up?
About Right Side Up
Please note, this posting is to highlight joining Right Side Up's talent collective specifically and is not representing an internal full-time role, or a current opportunity with a client.
Right Side Up is a collective of premium marketing talent—with all of the marketing chops, and none of the agency fluff. We’re trusted by the most respected early-stage ventures, the fastest-growing tech companies, and well-established Fortune 500 teams to do one thing better: Growth. We have over 250 clients including Stitch Fix, Sephora, Yelp, Sun Basket, Crunchbase, DoorDash, Calm, and more.
\nThe AI Marketing Ops Consultant sits at the intersection of marketing and technology. You're the person who doesn't just identify where AI can help — you build it. You translate marketing workflows into working automations, connect the tools, write the prompts, and ship the thing.
You'll be embedded with marketing teams who want to move faster and smarter, and you'll help them do exactly that: less manual work, better signals, more leverage from the tech stack they already have.
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Build and deploy AI-powered marketing workflows — think content generation pipelines, lead enrichment automations, personalization logic, and reporting systems that actually run themselves
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Audit existing marketing ops setups and identify where AI can cut friction or unlock scale
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Integrate LLM APIs, no-code/low-code tools, and marketing platforms (CRM, MAP, CMS, ad platforms) into cohesive workflows
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Write and iterate on prompts, system instructions, and structured outputs tailored to specific marketing use cases
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Document what you build so teams can maintain and extend it without you
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Collaborate with strategists, growth marketers, and data teams to scope, pressure-test, and ship solutions
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Track what's working — measuring time saved, output quality, and downstream marketing impact
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3-5 years of experience in marketing operations, growth engineering, or a similar role at a tech company or agency
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Hands-on experience building with AI tools — LLM APIs (OpenAI, Anthropic, etc.), agents, or AI-native platforms
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Strong command of the marketing tech stack: CRM, MAP, data pipelines, and ad platforms
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Comfortable writing code or using low-code tools (Python, JavaScript, Zapier, Make, n8n, etc.) to connect systems and automate workflows
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Sharp instincts for marketing — you understand the goals behind the work, not just the mechanics
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Clear communicator who can explain what you built and why it matters to a non-technical stakeholder
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Self-directed and delivery-oriented; you're energized by shipping, not just scoping