Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal User Assistance Developer

Oracle
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Product Data Scientist

Principal Product Data Scientist

Principal Data Scientist - AI

Principal Product Manager, Data Science & Machine Learning

Principal Product Manager, Data Science & Machine Learning

Principal Machine Learning Engineer

Our customers run their businesses on our platforms and our mission is to provide them with best-in-class compute, storage, networking, database, machine learning, artificial intelligence, security, and foundational services. We seek a top-notch, senior technical writer with deep knowledge and experience in creating technical documentation that include real-world examples and scenarios as well as documenting APIs and SDKs. As a member of the technical content team, you will have significant influence on technical content strategy in all areas, including authoring environments, integration with engineering workflows, automation tooling, and style guide development. You will also collaborate closely with our state-of-the-art user experience team to go beyond traditional forms of product documentation to deliver a ground-breaking overall user experience. At Oracle you can have significant strategic and technical impact by helping to build innovative technical content from the ground up. If you enjoy a challenge and seek to influence your work and working environment, this may be the opportunity for you.

Qualifications

10+ years of experience writing user and developer-focused content or training materials, including guides, tutorials, and white papers. Understanding of cloud concepts and technologies Experience developing API and SDK documentation. Knowledge of REST principles and design. Impeccable written English skills.  Experience developing multimedia assets. Strong team player with outstanding communication, organization, and interpersonal skills. We believe the HOW is as important as the WHAT. A history of fearless hands-on investigation and product use and a strong customer advocate mentality. Comfort with agile, swiftly changing, dynamic software development situations. Ability to learn new technologies quickly. Ability to establish and follow style and usage guidelines. Ability to drive, follow, and evangelize cross-team processes. Familiarity with software localization and accessibility guidelines. Understanding of transformation engines and content management systems. Experience using distributed source code management systems, such as Git. Experience using enterprise-grade bug tracking systems, such as JIRA. Experience and commitment to capturing and maintaining institutional knowledge . A Bachelor’s degree in a writing-intensive field, or significant work experience in startups or fast-paced enterprise technology development environments. Leadership of a significant documentation team effort. Ability to write code samples in Java. Experience developing multimedia assets Knowledge of DITA, XML, CCMS, and authoring tools such as Oxygen XML Editor

#LI-DNI

Career Level -

Deliver accurate customer-facing documentation on time and with a high degree of quality. Collaborate with the user experience team to ensure that technical content — including documentation, multimedia, contextual help, UI text, and other forms of assistance — are discoverable, usable, and pleasing to the customer. Work closely with engineers and product managers as APIs and SDKs are developed to author documentation in real time. Contribute to strategic initiatives around authoring environments, development processes, and automation tooling. Work closely with other members of the technical content team and follow corporate and team style guides to ensure consistency in workflow and writing style. Contribute to design, coordination, and validation of major enhancements to user assistance practices, patterns, processes, and standards. Lead and drive cross-team or cross-organizational projects and initiatives.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.