Right Side Up
via Lever
AI Marketing Ops/Engineer Consultant
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 152d ago
The date the source published, not the day we noticed it (2026-04-15). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2163 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 38d ago · last seen 3h ago
The listing
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.
About the Role
The 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.
What You'll Do
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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
What We're Looking For
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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