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.
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.
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.
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.
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.
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)
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
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