Marketing Operations Manager — AI-First Marketing (North America/Canada)

You own the execution of every marketing initiative at Anatta — content, search, advertising, website, automation, campaigns, events — and you run them as one connected system rather than a set of disconnected tools and one-off projects.

Most marketing teams sit somewhere between experimenting with AI and actually operating on it: a few generative tools used in isolation, no shared data layer, no closed loop between what gets published, what gets measured and what gets done next. Your mandate is to close that gap. You will design and run an intelligent marketing operating system for Anatta — where intelligence, decisioning, execution and governance are connected, where AI does the volume work, where humans own judgment and quality, and where every initiative reports back into a measurement framework tied to a pipeline.

This is a hands-on, cross-functional operating role. You will build workflows, administer the stack, launch campaigns, read the dashboards and fix what the dashboards reveal. Because our marketing team is intentionally small, leverage matters enormously. Your job is not simply to execute more work. It is to continuously redesign how the work gets done so automation and AI absorb repetitive execution while human time moves toward judgment, creativity and growth. You will also set the standard for how AI is used across the marketing function and train the people around you to use it well. You manage a Content Strategist and Creative directly and work daily with Sales, Business Development, Strategy and Engineering.

What you'll own

1. The AI content engine

• Run the content production system with your Content Strategist: AI-assisted drafting from practitioner interviews and project material, human editing, practitioner review and sign-off, publication and refresh.
• Own the editorial calendar, the master keyword sheet, the duplicate-keyword gate and the weekly cadence. Nothing ships without a practitioner having read it; you enforce that gate, not work around it.
• Maintain the prompt library, templates and quality standards so output is consistent, on-voice and institution-grade — not generic AI prose.
• Measure throughput weekly (published vs. planned, practitioner-review hours consumed) and scale the calendar off the measured rate.

2. SEO, AEO and GEO

• Execute Anatta's SEO / answer-engine / generative-engine program: hub-and-spoke architecture, programmatic pages, schema, llms.txt, entity consistency and off-site citation work.
• Own the entity layer: keep Anatta's facts identical across Google Business Profile, partner directories, review platforms and data aggregators so search engines and AI models resolve one consistent entity.
• Run the monthly AI-citation checks across the major assistants and Google AI Overviews; log whether Anatta is cited, which URL, and whether the model's answer matches our positioning.
• Track rankings, impressions and clicks by cluster, and the qualification split of organic leads by landing page.

3. Advertising and paid media

• Plan, build, QA, launch and optimize paid search and paid social campaigns against the qualified-opportunity definition, not raw lead volume.
• Manage budgets, pacing and landing-page performance; align paid keywords with the organic plan so both feed the same landing pages and the same reporting.

4. Website performance and improvement

• Own the website as a product: conversion paths, forms and lead routing, page speed and Core Web Vitals, crawlability for search and AI crawlers, analytics and consent.
• Prioritise and ship a continuous improvement backlog with Engineering and Creative; measure every change.

5. Marketing automation, data and lead management

• Build, optimise and maintain automation workflows for lead generation, nurture, lifecycle progression, segmentation, scoring, routing and campaign execution.
• Ensure data integrity across the contact database, using AI for enrichment, normalisation, deduplication and segmentation.
• Maintain attribution models and the marketing ROI dashboard; deliver the weekly web and pipeline report.
• Support revenue goals with lead scoring, sales alerts and signal exports to the sales team; define, with Sales, how AI-assisted and human outbound work together, and monitor the performance and data integrity of AI-assisted prospecting motions.

6. Integrated campaigns and events

• Own operational execution of integrated campaigns end to end — planning, build, QA, launch, optimisation, reporting — across email, webinars, paid media, ABM programs, nurture, outbound initiatives and events.
• Plan and coordinate Anatta's event presence: partner events, industry conferences, hosted sessions and webinars — logistics, budget, pre/post campaigns and pipeline follow-through.
• Set goals and benchmarks for every program before launch; report against them after.

7. Martech and AI stack administration

• Administer the marketing technology stack — CRM, marketing automation, analytics, SEO and AI tooling — and its integration with sales and business systems.
• Evaluate, pilot and deploy generative AI tools for content creation, data analysis, campaign personalisation and reporting, including prompt development and use-case experimentation.
• Collaborate with Sales, Business Development and Engineering leaders on the marketing technology roadmap; project-manage AI initiatives from stakeholder alignment through delivery.

8. Budget, timelines and governance

• Manage the marketing budget and timelines with Finance; keep programs on budget and on deadline.
• Establish AI governance for the marketing function: what AI may and may not produce unreviewed, data-handling rules, brand and voice standards, and compliance with data-protection law.
• Train marketing and adjacent teams on prompting, AI best practices and governance; champion adoption and build technical fluency across the company.