Director, Software Engineering — Automation Platform & Apps at LinkedIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

343000.0

Posted On

07 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agent Integration, Developer Productivity Tooling, Platform Engineering, LLM Application Development, Agentic Workflow Design, API Integration, Observability, Engineering Leadership, Strategic Roadmap Planning, Stakeholder Alignment, Talent Development, Data-Driven Decision Making

Industry

Software Development

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. This role will be based in Mountain View, CA. The Director of Automation Platform & Apps is a senior leadership role within LinkedIn's Developer Productivity & Experience organization. This role leads the team responsible for building the platform and tooling that puts AI to work across LinkedIn's R&D ecosystem — both by deeply integrating industry AI agents with LinkedIn's internal systems, data, and developer workflows, and by providing the foundational platform on which all internally developed AI agents are built and operated. The team also develops LinkedIn-specific automation applications that drive productivity at scale across the company's R&D organization. This is a high-impact, high-visibility role at the intersection of developer experience, AI tooling, and platform engineering — shaping how thousands of engineers at LinkedIn collaborate with AI every day. Roles and Responsibilities: Define and own the strategy and roadmap for LinkedIn's Automation Platform — the foundational infrastructure that enables internal teams to build, deploy, and operate AI agents reliably and at scale. Drive the integration of industry AI agents with LinkedIn's engineering ecosystem, including internal developer tooling, data systems, APIs, and workflows, ensuring these agents are LinkedIn-aware and immediately productive. Lead the design and development of LinkedIn-specific automation applications that meaningfully accelerate developer productivity across the engineering organization. Partner broadly across engineering, product, and infrastructure teams to understand developer needs and translate them into platform capabilities that are self-service, scalable, and easy to adopt. Establish best practices, standards, and guardrails for how AI agents interact with LinkedIn's production systems, ensuring safety, reliability, and appropriate access controls. Act as a role model and coach for engineers and managers by setting clear expectations, providing candid feedback, and fostering accountability and growth. Collaborate with senior leadership to co-develop a long-term vision for AI-powered developer productivity aligned with LinkedIn's product and technology strategy. Develop and operationalize metrics and dashboards to measure platform adoption, developer productivity impact, and the effectiveness of automation initiatives. Serve as a domain expert by staying current on the rapidly evolving landscape of AI agents, developer tooling, and automation platforms, and applying those insights to LinkedIn's strategy. Hire, develop, and retain high-performing engineering leaders and engineers across a range of experience levels. Lead complex, cross-organizational initiatives by aligning stakeholders, managing risk, making informed tradeoffs, and delivering high-quality outcomes on time. Qualifications Basic Qualifications BA/BS degree in Computer Science or a related field 7+ years in engineering leadership, with experience leading platform or developer productivity focused teams 5+ years of experience building and operating large-scale developer platforms or internal tooling 4+ years of experience building software that meaningfully reduces developer toil and improves engineering velocity Preferred Qualifications Hands-on development background in programming or scripting languages such as Python, Go, Java, or TypeScript. Experience building platforms or integrations with AI/ML systems, LLM-based agents, or developer automation tooling. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. The ability to balance business needs, a sense of urgency, conflicting constraints, and shipping high-quality, pragmatic solutions in a fast-moving environment. Experience leading large engineering teams of 40+. Data-driven decision making using developer productivity and platform adoption metrics. Pragmatic tradeoff analysis between platform flexibility, security, and developer experience. Cross-org technical leadership and stakeholder alignment. Strong engineering management, coaching, and talent development. Suggested Skills: AI agent integration and orchestration platforms Developer productivity tooling and internal platform engineering Designing and operating self-service platforms at large scale LLM application development and agentic workflow design API and ecosystem integration with complex, large-scale internal systems Observability and health signals for AI-powered developer tooling Additional Information You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $209,000 to $343,000. 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 Equal Opportunity Statement 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. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. 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. Workplace Type: Hybrid Career Track & Grade: MR5/11 Department: Engineering

Responsibilities

Lead the strategy and development of LinkedIn's Automation Platform to integrate AI agents into the R&D ecosystem. Drive the creation of automation applications that accelerate developer productivity and establish safety guardrails for AI interactions with production systems.