Content Marketing Technologist

Improvado KZ

Content Marketing Technologist

Описание вакансии

About Us

We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

About the Role

We're looking for a Content Marketing Technologist to build and operate the systems that power our B2B content engine — both human and AI-based. You'll design AI pipelines, automate workflows, coordinate with partners, and ship multi-format content at a pace that conventional processes can't match.

Goal

Accelerate content-driven pipeline by building and operating systems that produce high-volume, high-relevance content. Own the full stack — from ideation infrastructure to production automation to performance feedback loops.

What Success Looks Like

  • Pipeline Contribution — Understands how content fits into the broader pipeline target. Can articulate which content types, topics, and distribution channels influence pipeline, and prioritizes work accordingly.

  • Experimentation & Learning — Demonstrates ability to hypothesize, test, and learn consistently. Can fully own a number of isolated experiments each month.

  • Editorial Quality — Maintains a quality bar where published content complies with internal styleguide and requires minimal revision from editorial leadership.

  • Content System Maturity — Progressively automates content production until to minimize human intervention and reduce the volume of repeatable work.

  • Content Systems Maintenance — Keeps content workflows documented, operational, and current. Proactively updates systems when new technology emerges.

Key Responsibilities

  • Content Systems (Tech) — Build and maintain multi-modal AI content pipelines (based on product by Anthropic, OpenAI, Google, and more).

  • Content Systems (Human) — Optimize and maintain human processes: interview frameworks, editorial handoffs, SME extraction methods, feedback loops.

  • Content Production — Create, edit, and ship content across formats, working with AI drafts, human editing passes, and structured review cycles.

  • Source Development — Conduct customer interviews for case studies, coordinate with partners on co-branded content and webinars, extract insights from internal SMEs.

  • Analytics & Attribution — Work in GA4, GSC, and internal MTA attribution dashboards to measure content performance. Trace content touchpoints to pipeline and revenue.

  • Sales Enablement — Produce, maintain, and update demand generation and sales assets. Battlecards, one-pagers, objection handlers. Velocity over polish.

Requirements — Non-Negotiable

  • Exceptional command of English (native or C1/C2 proficiency)

  • Has produced clean B2B prose with measurable pipeline impact

  • Has built automations with agentic tooling (Claude Code, Cursor, Opal, etc.)

  • Can read and lightly edit HTML, CSS, and navigate Webflow CMS

  • Demonstrates learning velocity over credential depth

  • Proficient in GA4, Google Search Console, and content analytics tooling

  • Can design and run content experiments, then articulate results in business terms (pipeline influenced, conversion lift, SQL contribution)

  • Strong interviewer — can lead a customer call, extract the story, and turn it into usable content

  • Working experience with multi-modal AI: text-to-image, text-to-video, image-to-video, text-to-speech generation tools (e.g., Midjourney, Runway, ElevenLabs, Kling, Flux)

Requirements — Preferred

  • Background in technical product roles or engineering

  • Experience with single and multi-touch attribution models

  • Familiarity with semantic search, embeddings, or content graph concepts

  • Has written technical documentation or developer-facing content

  • Experience coordinating webinars or co-marketing initiatives with partners

  • Can produce end-to-end multi-format content (video snippets, audiograms, visual assets) without external dependencies

What We Offer

  • Remote-first environment

  • Strong product/market fit: marketing data product for US-based enterprises

  • 20 working days of PTO per year

  • US holidays and additional days off

  • Extremely fun & open startup environment

  • Professional development reimbursement

  • Clear growth path toward team leadership

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