Technical Content Writer

Job description

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. Mactores has 21 public case studies and 200+ published blogs. Most consultancy content sounds the same — capability lists, stacked adjectives, claims without baselines. Ours can't. Our positioning voice is flat, declarative, and engineering-led: pain named before capability, numbers with baselines, one contrarian claim per piece that a sharp reader would bookmark. Writing in that voice, at L300/L400 technical depth, for US B2B buyers — that's this job. As our Technical Content Writer, you'll turn complex cloud and data engineering work Apache Iceberg lakehouses, Oracle-to-Aurora migrations, Spark optimization, cloud-native DataOps into deeply technical, visually sharp content that ranks, resonates, and drives enterprise pipeline in the US market. This is not a generalist writing role. You'll go deep technically, and you'll bring marketing judgment to everything you produce: a piece has to land with a data engineer, an IT director, and a CFO evaluating cloud ROI without being rewritten for each. You'll own content from research through publication long-form blogs, whitepapers, case studies, social copy, and the diagrams that make the argument legible. ### What you will do? **Write and ship technical content** - Research, write, and publish L300/L400-level technical blogs, deep-dive articles, whitepapers, case studies, and solution briefs across AWS, Snowflake, Databricks, and Azure. - Turn complex architectural work Iceberg lakehouses, Oracle-to-Aurora migrations, Spark optimization, cloud-native DataOps into structured, accurate, engaging long-form content. - Produce both long-form and short-form independently blog posts, tutorials, solution walkthroughs, comparison guides, newsletters, LinkedIn posts, marketing copy without editorial hand-holding. - Work closely with solution architects, data engineers, and SMEs to validate technical accuracy and pull out implementation-level insight the reader can't get elsewhere. **Make it visual** - Design and produce the visual assets that carry the writing: custom diagrams, architecture illustrations, infographics, social graphics, data visualizations. - Use Canva, Figma, Adobe Express, or equivalent to independently create polished, on-brand visuals that make complex topics immediately digestible. - Build graphic-rich formats — one-pagers, solution briefs, visual explainers — optimized for US B2B audiences across digital and print channels. - Apply visual storytelling so technical content travels on LinkedIn and partner platforms. **Write for the buyer who's actually reading** - Write with a clear understanding of US B2B buyer behavior, content expectations, and purchasing patterns — from practitioner to VP to C-suite. - Adapt tone, format, and messaging by segment, so the same engagement story lands with a data engineer, an IT director, or a CFO. - Contribute to co-branded content with AWS, Snowflake, and Databricks — blogs, webinars, roadshow materials aligned with US go-to-market priorities. - Repurpose long-form content into social-ready formats for LinkedIn, newsletters, and partner channels, tuned for the US audience. **Use AI as a force multiplier** - Actively use AI tools (Claude, ChatGPT, Gemini, Grammarly, and others) to accelerate research, drafting, editing, and ideation. - Apply AI tools to improve structure, readability, and technical depth — a multiplier for quality and velocity, not a substitute for expertise. - Stay current with AI content tooling and keep folding better tools and workflows into your process. **Own SEO and performance** - Own the SEO strategy for all published content: keyword research, search intent mapping, on-page optimization, internal linking, meta descriptions, structured data. - Use Ahrefs, SEMrush, Google Search Console, or Surfer SEO to find content opportunities, track rankings, and optimize existing content. - Write content that holds technical authority and still ranks for the high-intent, long-tail queries US engineers and architects actually search. - Run regular content audits and refreshes so published pieces stay current with platform features and industry shifts. - Optimize for featured snippets, People Also Ask, and rich results where applicable. - Track performance — organic traffic, time on page, conversions, backlinks — and use the data to sharpen the content strategy. ### What are we looking for? - 4+ years creating technical content in the cloud, data engineering, or analytics domain, with a portfolio that shows both technical depth and marketing polish. - Demonstrated L300/L400 writing ability comfortable with distributed query optimization, schema evolution in Iceberg, PL/SQL-to-PostgreSQL conversion, or Spark-on-EMR tuning without significant guidance from engineers. - Excellent written English for a US B2B audience American business communication norms, tone, and content expectations. - A proven record of producing long-form and short-form content across formats without extensive editorial support. - Hands-on experience creating graphic-rich content infographics, diagrams, social assets, visual explainers — with design tools. - Working knowledge of at least two of: AWS, Snowflake, Databricks, Azure. - Strong SEO fundamentals: keyword research, on-page SEO, content architecture, backlink strategy, performance tracking. - Proficiency with AI writing and productivity tools, and a demonstrated habit of using them to raise quality and output. - Experience with a CMS platform (HubSpot, WordPress, or equivalent). - A marketing-focused background formal education or equivalent experience in Marketing, Communications, or a related field is preferred. ### You'll be preferred if - A Bachelor's or Master's degree in Marketing, Communications, or a related field - Certification in one or more of: AWS, Snowflake, Databricks, or Azure - Certification or coursework in Technical Writing or Content Strategy - Experience writing content for an AWS Partner, ISV, or cloud consultancy targeting the US market - Familiarity with Apache Iceberg, Apache Spark, dbt, Kafka, or similar open-source data technologies - Experience contributing to or ghostwriting for AWS blogs, Databricks blog, or Snowflake Medium publications - Working knowledge of HTML/Markdown for CMS publishing - Demonstrated understanding of US B2B advertising norms, including familiarity with how US enterprise buyers consume and evaluate technical content ### How we work? You'll write from shipped work, not abstractions. Our engineers land real migrations with named customers and measurable outcomes, and Aedeon-driven delivery gives you material most content teams never get: agents absorbing 60–70% of engagement hours versus a traditional consulting proposal of equivalent scope, cutovers on committed dates, legacy actually retired. Your job is quality uplift, not volume every piece opinionated, data-led, written for one buyer reading alone, and carrying a claim with a baseline. You'll use AI tools the way our engineers use agents: to absorb the repetitive work so your hours go to the judgment.