Senior Knowledge Engineer

Job Description Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for creating and delivering instructional, procedural, and technical content for LinkedIn's members, customers and employees. The content is created both manually and using GAI, and is distributed externally to LinkedIn's Help Centers, virtual chat agents, and in-product experiences (including those powered by AI/GAI) where our customers and members self-serve. Employees also use this content internally through enterprise search systems and CRMs. Join us as we take a new direction in content creation, management, and delivery to ensure an exceptional content authoring experience for our creators and content delivery experience for our members, customers and employees. As a Senior Knowledge Engineer (content engineer), you sit at the intersection of content and technology to enable the KMS team, our cross-functional partners, and our customers across all lines of business. You will be responsible for managing our content data foundations and strategy, and you will help support our content workflows and technical solutions that our content teams will use to author, publish, localize, and deliver content across the customer journey. You'll be expected to maintain solid, trusted, collaborative relationships with cross-functional partners to successfully analyze and solve issues together. You will be working closely with other KMS leads, Senior Content Strategists, Product, Engineering, and Data Science to create and define a great end-to-end content experience. This position reports to the Manager, Knowledge Engineering. Key Responsibilities: - Develop a deep understanding of the end-to-end content system, including interconnected content data pipelines and interdependencies. - Serve as a subject matter expert in content data foundations, analyze and optimize processes, and develop innovative solutions and tools/automations that lead to enhanced content data efficiency across the organization. - Foster partnerships with the KMS team (content strategists, localization experts, information architect, and other knowledge engineers), product, engineering, and data science teams to understand current and future state content requirements to explore new solutions, workflows, and technologies. - Act as an escalation point of contact and effectively triage, investigate, and resolve complex content data-related technical issues with leads and partners. - Represent the KMS team at key stakeholder meetings to continually provide awareness of new and ongoing issues as well as quality improvement initiatives. - Understand and support legacy authoring tools and processes as we migrate to a new CCMS. - Leverage industry knowledge, structured authoring expertise, and business experience to improve content authoring, management, and delivery processes. - Communicate effectively with KMS team, technical and other non-technical stakeholders. Qualifications Basic - Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience. - 7+ years of combined industry experience supporting content development teams with some combination in content data foundations, structured content creation and delivery, content migrations, and/or content tools development/automation in a production environment. - Programming & Data Skills: Experience with Python and/or SQL, or equivalent languages. Preferred - Content Systems & Strategy - Content data foundations and strategy - Structured authoring (DITA or topic-based authoring methodology) - Content organization, structure, reuse in a CMS/CCMS - Taxonomy/tagging/metadata - schemas and management - Programming & Data Skills - Scripting languages like Python, Perl, or similar - SQL or other data analytics/data science languages - Strong analytical and organizational skills - Experience working in enterprise-level content creation environments. Suggested Skills - Critical Thinking - Problem-Solving - Strategic Thinking - Communication - Adaptability - Innovation - Leadership Additional Information India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.