--- title: 'Senior Technical Content Writer at DoiT' canonical: 'https://feeny.ai/job/senior-technical-content-writer-doit-united-states-an6ww6c1628v' type: 'job' last_seen: '2026-09-05' --- # Senior Technical Content Writer at DoiT - **Company:** DoiT - **Location:** United States - **Work type:** remote - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/doitintl/jobs/7854230003 ## Job description Location Our Senior Technical Content Writer – Data Platforms will join our global Marketing team. This remote role is ideally based in the United States, with overlap with US business hours (ET–PT) to support collaboration with internal stakeholders and occasional external experts. Candidates outside these time zones are welcome, as long as they can accommodate United States working hours. ## Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We're building a technical content program to serve data engineers, analytics engineers, and other practitioners who work inside data platforms (Databricks, Snowflake) environments. The content targets people who already know and use the platforms. It has to earn their attention by being technically grounded, specific, and useful in practice. This role owns a meaningful slice of that program. You'll produce ebooks, long-form guides, blog posts, and webinar materials that help practitioners understand and manage compute costs inside Databricks and Snowflake. You'll work independently on some workstreams and alongside a small team of subject-matter experts and contracted technical writers and others. The expectation: you can run a piece from research to publish-ready draft with minimal hand-holding, and you can also integrate cleanly into a collaborative review process when the content requires practitioner depth you'll need to source. What This Is Not This role requires technical depth, not just technical curiosity. If your strongest work is in cloud vendor blog posts that stay at the 101 level, or in marketing copy that uses platform names without engaging with how the platforms actually work, this isn't the right fit. It also requires independent output. You'll have access to SMEs and technical reviewers, but the first draft starts with you. ## Responsibilities Ebooks and Long-Form Guides - Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost management topics (compute optimization, job cluster configuration, Unity Catalog economics, photon efficiency, and similar) - Structure complex technical material for practitioners who have no patience for surface-level coverage - Own the full revision cycle: incorporate feedback from internal SMEs and external technical reviewers Blog Posts - Produce technical blog posts on Databricks and Snowflake cost and query optimization topics at a pace of 2 or more per month - Write from observed patterns and specific data rather than marketing assertions - Adapt posts from longer-form assets or develop standalone pieces tied to product releases, platform updates, or practitioner pain points Webinar Scripts and Slide Support - Develop research outlines, speaker scripts, and slide frameworks for live and on-demand webinars - Collaborate with technical presenters (internal engineers and external practitioners) to shape structure without overwriting their voice - Ensure accuracy and depth: webinar content goes in front of the same practitioners the written content targets Cross-Platform Coverage (Unicorn Scope) - Extend coverage to Snowflake and BigQuery as the content program grows - Map transferable concepts across platforms without over-generalizing or flattening the technical distinctions that practitioners care about ## Qualifications Required - 5 to 8 years of technical content experience, with a portfolio that demonstrates depth in data engineering, cloud infrastructure, or adjacent fields - Demonstrated ability to write for Databricks and Snowflake practitioners: data engineers, analytics engineers, platform engineers, or FinOps specialists - Hands-on familiarity with Databricks and Snowflake: you understand the platform well enough to write about cluster configuration, job compute, and cost levers without relying solely on documentation - Ebook and long-form guide experience: not just word count, but structure, pacing, and making dense material readable without dumbing it down - Comfort operating at senior level: you drive workstreams, set your own research agenda, and flag accuracy issues proactively - Strong editorial judgment: you know when a draft needs another pass and when it's ready Strong Preference - Direct experience writing about BigQuery, or other cloud data warehouse and lakehouse platforms - Familiarity with FinOps concepts applied to data infrastructure (cloud cost allocation, showback/chargeback, spend optimization) - Experience writing webinar scripts or technical presentation materials, not just post-event recaps - Background as a practitioner who moved into technical writing, rather than a generalist writer who learned the terminology Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our [core values](https://careers.doit.com/life-at-doit/). Sounds too good to be true? Check out our[Glassdoor Page](https://www.glassdoor.com/Overview/Working-at-DoiT-International-EI_IE1972488.11,29.htm). We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: - Unlimited Vacation - Flexible Working Options - Health Insurance - Parental Leave - Employee Stock Option Plan - Home Office Allowance - Professional Development Stipend - Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote ## About DoiT ## Company Overview - **One-liner**: DoiT delivers cloud cost management, optimization, and automation across AWS, Google Cloud, and Azure through an AI‑driven platform and embedded engineering support. - **Entity Type**: Private (funding and stage not publicly disclosed) - **Headquarters**: No physical headquarters – fully remote since founding; operations span 40+ countries. - **Founded**: 2011 - **Founders**: Not publicly available (founder names not listed in provided sources) ## Core Business - Primary industries: Cloud infrastructure, FinOps, multi‑cloud cost management, AI/ML operations - Target customers: B2B – enterprise engineering teams, platform engineers, FinOps practitioners, CFOs - Mission: “Deliver the true promise of the cloud” – turning cloud complexity into clarity and control ## Products & Services - **[Cloud Intelligence™](https://www.doit.com/)**: AI‑powered FinOps platform that unifies cloud analytics, cost optimization, and governance across AWS, Google Cloud, and Azure. Includes anomaly detection, rightsizing, and auto‑optimization agents. (SaaS) - **[PerfectScale](https://careers.doit.com/)**: Automated Kubernetes optimization platform that cuts cloud costs up to 50% while maintaining 99.99% availability. (SaaS) - **[SELECT](https://careers.doit.com/)**: Snowflake cost optimization tool providing visibility into every workload, automatic savings of 10–20% on compute spend. (SaaS) - **[CloudFlow](https://careers.doit.com/)**: No‑code workflow engine for building, scheduling, and triggering multi‑cloud automations. (SaaS) - **[Cloud Diagrams](https://careers.doit.com/)**: Automatically generates interactive architecture diagrams from live cloud infrastructure. (SaaS) ## Market Standing - **Valuation**: Not disclosed - **Key Metric**: Managed cloud spend exceeded **$10 billion** in the last 20 months (as of 2025/2026); currently powers **$4 billion+** in managed spend. - **Notable Investors/Partners**: AWS Premier Tier Services Partner; Google Cloud Premier Partner; Microsoft Gold Solutions Partner. (Investors not named in available sources) - **Growth Signals**: 700+ employees across 40+ countries; 4,500 customers in 70+ countries; 89% positive interview experience; 4/5 Glassdoor rating; recognized as a 2025 BuiltIn Best Place to Work for Remote‑First. ## Competitive Advantages - **Fully remote‑first since day one** – no HQ, no return‑to‑office plan; async‑by‑default culture. - **Forward Deployed Engineers (FDEs)** – senior cloud architects embedded directly with customer teams to drive optimization outcomes. - **AI‑first product and internal tooling** – ML models and LLMs power cost optimization, anomaly detection, and auto‑remediation; every employee gets unlimited access to Cursor, Claude Code, and Codex. - **Multi‑cloud depth** – deep partnerships and native support for AWS, GCP, and Azure, plus Snowflake. - **Automation‑driven** – platform acts on recommendations automatically, achieving 10x more implementations than dashboard‑only tools. ## Strategic Focus - Continue building out the Cloud Intelligence platform and expanding AI‑agent capabilities that research, implement, and optimize cloud spend autonomously. - Grow the product suite organically and through acquisitions (e.g., PerfectScale, SELECT) to cover every major cloud cost surface. - Hire relentlessly curious builders who care about cloud infrastructure and driving measurable business outcomes. ## Why Work Here - **Culture**: Fully remote, async, no surveillance (no time trackers). “Loosely coupled, highly aligned” – teams own outcomes, not tasks. Engineers ship to production in their first week. - **Policy**: 100% remote‑first; no mandatory office hours; unlimited PTO with dedicated mental health and volunteer days; flexible hours across all time zones. - **Benefits**: Competitive base pay, real equity (stock options), annual learning stipend, cloud certification funding, conference budgets, home office stipend, comprehensive health coverage (medical, dental, vision, mental health). - **Engineering culture**: “No ticket culture” – everyone sees the full customer impact and makes decisions. Internal hackathons, AI‑focused Slack channels, and freedom to experiment. - **AI tooling**: Unlimited licenses for Cursor, Claude Code, Codex; internal AI automation built by the Business Systems team. ## Sources 1. [doit.com/about](https://www.doit.com/about) – Company overview, founding year, mission, security, partnerships, customer stats 2. [careers.doit.com](https://careers.doit.com/) – Product descriptions (PerfectScale, SELECT, CloudFlow, Cloud Diagrams), Glassdoor reviews, benefits, AI‑first culture 3. [doit.com](https://www.doit.com/) – Cloud Intelligence platform details, FDEs, auto‑optimization, managed spend metrics 4. [careers.doit.com/life-at-doit](https://careers.doit.com/life-at-doit) – Values, remote culture, team size, onboarding, AI tools 5. [careers.doit.com/remote-work](https://careers.doit.com/remote-work) – Remote‑first philosophy, async work, no surveillance, AMA details, awards ## Other roles at DoiT - [Product Analyst](https://feeny.ai/job/product-analyst-doit-israel-2hjpw3e3ep6n) — Israel - [Product Analyst](https://feeny.ai/job/product-analyst-doit-sweden-atqkn67x47j8) — Sweden - [Product Analyst](https://feeny.ai/job/product-analyst-doit-united-kingdom-59jnjaye6rkd) — United Kingdom - [Product Analyst](https://feeny.ai/job/product-analyst-doit-ireland-8q7gzj0xshhx) — Ireland - [Product Analyst](https://feeny.ai/job/product-analyst-doit-netherlands-jecbme9tpycq) — Netherlands - [Marketing Manager, Channel/Partners](https://feeny.ai/job/marketing-manager-channel-partners-doit-united-states-0vkajp682bpx) — United States - [Customer Marketing Manager](https://feeny.ai/job/customer-marketing-manager-doit-canada-3csvpqrtnah2) — Canada - [Customer Marketing Manager](https://feeny.ai/job/customer-marketing-manager-doit-united-states-gwydmbntj7fd) — United States - [Account Manager - EMEA](https://feeny.ai/job/account-manager-emea-doit-netherlands-ymagtvsan2sp) — Netherlands - [Account Manager - EMEA](https://feeny.ai/job/account-manager-emea-doit-united-kingdom-ty2xwwh79x56) — United Kingdom