[All remote jobs](https://jobicy.com/jobs.md)[![Docplanner logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/84f2fa86-221.png)](https://jobicy.com/company/docplanner.md)[Docplanner](https://jobicy.com/company/docplanner.md) # Knowledge Architect and Product Enablement Expert Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/docplanner.md)ShareRemote from[Brazil](https://jobicy.com/job-region/brazil.md)SalaryUndisclosedDepartment[Content & Editorial](https://jobicy.com/categories/copywriting.md)EmploymentFull TimeExperienceSeniorPublished1 Oct 2026Apply before31 Oct 2026Listing views34Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Docplanner seeks a senior knowledge architecture and product-enablement professional to establish a code-derived, structured product knowledge system for internal and customer-facing AI assistants. The role combines technical documentation engineering, knowledge management, repository-based content operations, and enablement of a distributed team. The hire will work directly with GitHub repositories, define content models and verification standards, prioritize legacy-content migration, and build repeatable review workflows with Product, Engineering, Marketing, and Product Experts. A major focus is ensuring knowledge remains traceable, current across frequent releases, and usable by Kraken and Noa assistants. This is a high-ownership role requiring strong written English, technical fluency, stakeholder management, and change leadership. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires designing a new operating model rather than maintaining an existing documentation program, while interpreting product behavior from large codebases and coordinating many stakeholders. Success depends on both technical judgment and sustained organizational change across markets and teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$125,000US market range$100k–$150k0$165k AI insightNo actual salary, pay range, or compensation amount is disclosed in the posting. The figures are estimated US-market annual base salary benchmarks in USD for a senior technical documentation/knowledge architecture professional with repository, AI-assistant, and cross-functional enablement responsibilities; actual pay may differ by location, company, and total-rewards structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Technical Writing](https://jobicy.com/jobs?search_keywords=Technical%20Writing.md)[Knowledge Management](https://jobicy.com/jobs?search_keywords=Knowledge%20Management.md)[Documentation Engineering](https://jobicy.com/jobs?search_keywords=Documentation%20Engineering.md)[GitHub](https://jobicy.com/jobs?search_keywords=GitHub.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Documentation as Code](https://jobicy.com/jobs?search_keywords=Documentation%20as%20Code.md)[Content Modeling](https://jobicy.com/jobs?search_keywords=Content%20Modeling.md)[Markdown](https://jobicy.com/jobs?search_keywords=Markdown.md)[YAML](https://jobicy.com/jobs?search_keywords=YAML.md)[AI Assistant Evaluation](https://jobicy.com/jobs?search_keywords=AI%20Assistant%20Evaluation.md) Sample interview questionsHow would you design a product-knowledge model that can serve both internal teams and customer-facing AI assistants?I would begin with atomic, self-contained facts that include product area, market and plan applicability, source reference, release status, owner, and confidence or review state. I would separate canonical facts from channel-specific presentation so the same verified source can support internal guidance, Help Center content, and retrieval for assistants without duplicate maintenance. How would you extract reliable documentation from a large codebase when you are not a software engineer? I would map the relevant feature through repository search, recent pull requests, configuration, tests, and implementation code, then document observable rules, conditions, and exceptions with links to precise source locations. When behavior remains ambiguous, I would prepare concise validation questions for the feature owner rather than infer an answer. How would you prioritize migration of a legacy knowledge base? I would score content by usage, customer or operational impact, rate of product change, risk of being incorrect, and whether a code-derived source is available. High-use and fast-changing topics would be addressed first, particularly where outdated information affects assistants or Customer Care, while low-value obsolete content would be archived. How would you measure whether Kraken and Noa are improving after the new knowledge system is introduced? I would maintain a versioned evaluation set of representative questions by product area, market, and complexity. Key measures would include factual accuracy, citation or traceability, completeness, correct handling of unsupported cases, answer consistency, and regression rate following releases. How would you help a team transition from writing long articles to validating structured facts? I would provide clear standards, examples, templates, and short practice sessions focused on one behavior at a time: creating atomic facts, reviewing generated output, identifying gaps, and escalating ambiguity. I would reinforce the change with review feedback, office hours, and documented decisions so recurring questions become part of the shared operating guidance. Opportunity details ## About this role. ### Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients. Learn more about our products here:[pro.doctoralia.es](http://pro.doctoralia.es) ### Why join us? 📊 Real impact – We help doctors help patients. Your work truly makes a difference. 📈 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. ### What you will own ### The structure of our product knowledge * Define and keep the content model for Docplanner product knowledge: small self-contained facts, how topics are organised, which labels and metadata we use, and what belongs to the internal knowledge base versus the external one for customers and doctors. * Set the quality standard. Every fact carries a reference to where it came from (repository, file, place in the code), so anyone can check it again later instead of trusting it blindly. * Choose one structure that works for both assistants, Kraken for customers and Noa for doctors, so we do not end up maintaining the same knowledge twice. ### Getting knowledge out of the code * Work directly in GitHub with read access to the monorepo and the other repositories. Find where the logic of a feature really lives, read it well enough to understand the rules and the special cases, and turn it into clear output that other people can review. * Improve the way we generate this output, so that over time fewer facts need a person to confirm them. Simplifying is key. * Protect one rule: every new or changed feature is generated from the code from day one. Older content is only redone when a release touches it, or when it is one of the most used topics in Kraken and in Customer Care. We are not going to rewrite the whole knowledge base in one big project. ### Our current internal knowledge base * Review what we have today, article by article, and decide what happens to each part: move it to the new structure, rewrite it, replace it with output generated from the code, or archive it because it is no longer useful. * Propose the order of that work, with clear reasons based on how much each topic is used and how often it changes, and agree with the manager of the team. * Lead the team through that work. You do not do it alone. You decide the method, you explain it, you review the result, and you keep the quality consistent across markets and people. ### Teaching the team to work in the new way * Bring the team from writing articles to checking facts. This is a real change in habits, and it needs to be taught. * Create the working guides, examples and short training sessions that make the new way easy to follow, and update them as the method changes. * Build new skills inside the team: how to write a small self-contained fact, how to review generated content, how to spot a knowledge gap, how to work with content that lives in a repository, and how to test an AI assistant’s answers. * Be the person the team asks when they are not sure. Answer, and then write the answer down so the next person does not have to ask. ### The facts that are not in the code * Identify the types of knowledge that the code simply does not contain: differences between markets and plans, the wording on screen, what the patient sees, screenshots. For each type, design a way of getting that information that we can repeat every time, together with Product Managers, Product Marketing and Product Experts. * Run the review loop with the people who own each feature. Prepare the facts in a format that a person without a technical background can confirm, correct or reject quickly. Keep track of what came back wrong, and why. ### Keeping knowledge up to date * Define how the knowledge stays current with dozens of releases every month: what triggers an update, who is alerted, and how fast we commit to make the change. * Warn the Help Center team when a release makes published content wrong, and be precise enough that they can fix it without reading the whole article again. ### Working with the rest of the chain * Product Experts feed, test and improve the internal knowledge base. You make it easy for them to give input, and you keep them in the role of people who check facts rather than write them. * The Help Center team publishes and maintains the content for customers, using your output. You own the format you hand over and the alerts you send. They own publishing. * The owners of Kraken and Noa use your output. You agree with them what they receive, and you test the quality of the assistants’ answers against a fixed list of questions. * Engineering for access to the repositories, for the monorepo migration plan, and for anything that needs to change in the code so that knowledge can be extracted from it. ### Qualifications ### What will help you thrive? * 4 to 7 years of experience in technical writing, documentation engineering, knowledge management, developer experience, solutions engineering or something comparable, with real ownership. This is not a first job in the field. * Real comfort with Git and GitHub: branches, pull requests, reading changes, finding your way around a large codebase you have never seen before, and reading code well enough to understand rules and special cases. You do not need to be a software engineer. You do need to be able to open a repository without someone sitting next to you. * Experience designing content structures: small self-contained pieces of content, labels and metadata, standards that you defined and then made other people follow. Markdown, YAML or JSON as formats you use every day. * Experience with documentation that lives in a repository: versioned, reviewed, and built like code, not kept in a folder of documents. * A working understanding of how AI assistants use content: how they retrieve it, why a well-written article can still produce a bad answer, and how to test the answers instead of assuming they are fine. * Proven ability to get busy experts to review facts quickly, and to design the format that makes that possible. * Experience teaching a team a new way of working, and getting it to stick. Guides, examples, sessions, patience. * The independence to build a role that has no precedent in the company: you will define it, defend its limits, and raise risks before they become blockers. * Professional English, written and spoken (any additional language is a plus; Spanish, Portuguese, Polish, Italian…) ### What to Expect from Our Hiring Process We like to keep things transparent and efficient! Here’s what the process usually looks like (though it might vary slightly depending on the role): 1️⃣ Intro Chat – A first call with our Talent Partner to explore mutual fit around relevant skills, value alignment, and motivation. 2️⃣ Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with Francesca Agostini and your potential manager in this role. Take this chance to ask anything on your mind—it’s just as much about making sure we’re the right fit for you, too. 3️⃣ Business Case – An exercise with preparation time, designed to understand how you approach real-life problems. You’ll walk us through your approach in a collaborative discussion with the hiring manager and the team to discuss your thoughts and findings. 4️⃣ Additional/ Final Interview (Optional) – A final conversation with another Senior Leader or Peer from our Global Team. 5️⃣ References & Offer! ### Why You’ll Love It Here 💙 Global Benefits – No matter where you are, you’ll have access to: * Healthcare insurance – so you can focus on what matters. * Wellness that works for you – from gym memberships to mental health support, we’ve got you covered. * Time off that counts – whether it’s a vacation, your birthday, or just a day to recharge, we believe in balance. 📍 Local Perks – Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave. 🚀 Career Growth – We’re growing, and so can you! You’ll find lots of chances to learn, develop, and explore new paths—whether within your team or through cross-functional projects. 🌎 A Truly Global Team – Work with talented people from all over the world in a diverse and inclusive environment. ⏳ Flexibility That Works for You – Remote work and flexible hours aren’t just buzzwords here. While the extent of flexibility depends on your role and team, we value results over rigid schedules. Prefer an office setting? You’re welcome at any of our hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome or Bologna. Please note: At this time, we are not able to sponsor visas for this position. To apply, you must already have the legal right to work in your country of residence or the location of the role. ### What We Believe In At Docplanner, our values guide everything we do: 📊 Focus on results – we’re here to make an impact. 🧠 Think like an owner – take responsibility, drive outcomes. ✂️ Keep it simple, keep it lean – smart solutions over complexity. 🔊 Be respectful and radically honest – openness builds trust. 📚 Learn and be curious – growth is part of the job. Don’t just take our word for it—check out our [Glassdoor](https://www.glassdoor.com.br/Avalia%C3%A7%C3%B5es/DocPlanner-Avalia%C3%A7%C3%B5es-E1071394.htm?countryRedirect=true) to hear what our people say! _________________________________________________________________________ We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We welcome applicants from all walks of life, regardless of gender, disability, or background, and are dedicated to fostering an inclusive workplace where everyone feels valued and empowered to contribute. Show more [Apply now >](https://jobicy.com/jobs/154328-knowledge-architect-and-product-enablement-expert.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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