Sr. Web Solutions Lead
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Job summary
LinkedIn is seeking a Sr. Web Solutions Lead to accelerate AI-enabled web experiences and scalable solutions.
You will partner with Web Marketing, Martech, and Engineering to translate business needs into prototypes and services, including AI agents, dashboards, and self-service workflows. You will drive strategic solution leadership, develop MVPs, and build reusable frameworks to scale across the organization.
Qualifications
- 7+ years building digital products, web platforms, automation solutions, or technical business applications.
- 5+ years leading cross-functional initiatives involving Design, Product, Marketing, Analytics, and Engineering partners.
- Experienced in Agile environments and managing complex technical initiatives.
Responsibilities
- Lead solution design from concept through adoption, balancing business value, technical feasibility, and long-term scalability.
- Build AI-powered agents and copilots that automate business processes and reduce manual work.
- Develop MVPs and proof-of-concepts to validate new opportunities before formal investment.
- Create lightweight workflows, dashboards, and self-service capabilities for web teams.
- Scale governance, tooling, and operating models for AI-enabled web operations.
Skills
Tools
Job 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.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.
This role is based in either New York, San Francisco, Mountain View, or Chicago.
We are seeking a Sr. Web Solutions Lead to accelerate the evolution of LinkedIn's web experiences through AI-enabled solutions, automation, and rapid development. In this role, you will partner across Web Marketing, Martech and Engineering to identify high-value opportunities and create scalable solutions that improve customer experiences, streamline operations, and unlock new capabilities.
You will be responsible for transforming business needs into working prototypes and services, including AI-powered agents, dashboards, self-service workflows, custom web applications, and experimental experiences. Success in this role requires a unique blend of product thinking, technical execution, and operational problem-solving to help Web move faster, scale more effectively, and deliver seamless member experiences.
This is an opportunity to build the next generation of web capabilities at LinkedIn and help establish a more AI-native, data-informed, and scalable operating model for digital experiences. The role reports to the Director of Web Operations.
LinkedIn thrives through our commitment to a culture of inclusion, belonging and authenticity. We recognize the value of diverse perspectives in our teams and culture. We champion workspaces and professional environments where everyone’s voice is heard, where all backgrounds are respected, celebrated and where you can be 100% you every day.
The Sr. Web Solutions Lead serves as Web's AI-native solutions leader, identifying high-impact opportunities and translating business challenges into scalable products, automations, and self-service capabilities. This role combines strategic thinking with hands‑on execution to increase organizational leverage, reduce operational friction, accelerate experimentation, and enable Web Marketing to scale more effectively.
- Lead solution design from concept through adoption, balancing business value, technical feasibility, and long-term scalability.
- Serve as a player-coach by building critical prototypes, automations, and AI-enabled solutions while guiding agency and partner resources.
- Establish reusable frameworks, operating models, and best practices that can be scaled across the organization.
- Influence roadmap decisions through data, experimentation, and operational insights.
- Build AI-powered agents and copilots that automate business processes.
- Translate repetitive manual work into automated workflows.
- Develop reusable prompt libraries, agent frameworks, and workflow accelerators.
- Create AI solutions supporting Content, SEO, Prototyping, Authoring, and Personalization teams.
- Continuously identify opportunities where AI can eliminate operational friction.
- Build lightweight products, tools, dashboards, and applications that solve immediate business needs.
- Develop MVPs and proof-of-concepts to validate new opportunities before formal investment.
- Create custom workflows that would otherwise require dedicated engineering resources.
- Rapidly deploy solutions in response to emerging business challenges.
- Bridge the gap between business strategy and technical implementation.
- Rapidly build and launch experiments.
- Create test environments and sandboxes for new ideas.
- Enable teams to validate concepts before larger investments.
- Accelerate idea-to-market timelines through lightweight technical solutions.
- Build experimentation frameworks that can be reused across initiatives.
- Enable teams to self-serve insights without requiring analyst support.
- Convert operational processes into reusable self-service systems.
- Build tools that empower web marketers, authors, producers, and content teams.
- Reduce dependency on centralized support models.
- Create repeatable governance and workflow frameworks.
- Operationalize best practices into scalable tools and experiences.
- Build automated monitoring systems for:
- SEO/AEO
- Accessibility
- Site health
- Content quality
- Governance compliance
- Develop AI-powered auditing solutions.
- Surface issues proactively before escalation.
- Create reporting and alerting systems that improve operational visibility.
- Document reusable frameworks, patterns, and playbooks.
- Train teams to adopt AI-enabled workflows.
- Scale successful solutions into repeatable operating models.
- Establish standards for AI-assisted web operations.
- 7+ years of experience building digital products, web platforms, automation solutions, or technical business applications.
- 5 + yearsof experience leading cross-functional initiatives involving Design, Product, Marketing, Analytics, and Engineering partners.
- Experience with AEM Core Components, templates, Experience Fragments, and component development.
- Experience optimizing Core Web Vitals and web performance.
- Experience implementing SEO, schema markup, metadata, and search optimization best practices.
- Experience building automation solutions, QA tooling, or site health monitoring systems.
- Experience with Adobe Analytics, experimentation platforms, and personalization technologies.
- Experience supporting large-scale websites with complex governance requirements.
- Familiarity with AI-assisted development tools such as GitHub Copilot and agent-based workflows.
- Experience building dashboards, operational tooling, and internal web applications.
- Knowledge of accessibility standards, WCAG requirements, and automated compliance testing.
- Experience working in Agile environments and managing complex technical initiatives.
- Demonstrated ability to take solutions from concept through adoption and operationalization.
- Experience translating ambiguous business problems into scalable technical solutions.
- AI Product Development + Workflow Automation
- Technical Leadership + stakeholder management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $170,000 to $278,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits .
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
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A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
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