LinkedIn
Director of Engineering - LinkedIn Premium, Growth & Subscriptions Lifecycle
LinkedIn, Mountain View, California, us, 94039
Overview Director of Engineering - LinkedIn Premium, Growth & Subscriptions Lifecycle. Lead the Unified Acquisition and Management (UAM) for our online subscriptions, with a mandate to drive subscriber growth including acquisition, conversion, retention, and virality. Own the member experience and systems powering the entire premium subscription lifecycle. Hybrid work location (home and LinkedIn office on select days).
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. Responsibilities
Lead the UAM organization, collaborating with partner teams to manage and grow a high-performing engineering group. Own the end-to-end experience from user-facing interfaces to backend and offline systems, delivering on an ambitious product and technical roadmap. Set Technical Vision for Growth: shape the future of LinkedIn’s online subscriptions growth, retention and customer lifecycle management by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. Architect for Scale: guide the team in building scalable, high-availability systems to handle millions of queries reliably and efficiently. Drive Growth Product Strategy: partner with product, design, and AI teams to align technical investments with member and business needs. Foster a High-Performance Culture: champion engineering best practices, quality, operational rigor, and innovation across the team. Talent Development: recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. Cross-Functional Leadership: influence and collaborate across multiple teams and stakeholders to drive high-impact initiatives forward. Stay Ahead of Trends: monitor emerging technologies and industry trends to ensure a thriving online subscriptions ecosystem. Basic Qualifications
10+ years of experience building AI-powered consumer products at scale, with 5+ years in engineering leadership roles. Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields. Proven experience leading and scaling engineering teams to deliver consumer-facing products. Technical foundation in distributed systems, relevance algorithms, retrieval systems, personalization, and infrastructure. Preferred Qualifications
Hands-on experience in developing and deploying large-scale, consumer-facing applications. Proficient in Java, JavaScript, Databases. Track record of influencing technical and product strategy at an organizational level. Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Benefits and Compensation 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 skill set, depth of experience, certifications, and location. The total compensation package may include annual performance bonus, stock, benefits and/or other incentive plans. For more information, visit https://careers.linkedin.com/benefits. EEO and Accessibility LinkedIn is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees and applicants. Reasonable accommodations are available. For accommodations, contact accommodations@linkedin.com. LinkedIn follows Pay Transparency policies and provides global data privacy notices for job candidates at https://lnkd.in/paytransparency and https://lnkd.in/GlobalDataPrivacyNotice.
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For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. Responsibilities
Lead the UAM organization, collaborating with partner teams to manage and grow a high-performing engineering group. Own the end-to-end experience from user-facing interfaces to backend and offline systems, delivering on an ambitious product and technical roadmap. Set Technical Vision for Growth: shape the future of LinkedIn’s online subscriptions growth, retention and customer lifecycle management by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. Architect for Scale: guide the team in building scalable, high-availability systems to handle millions of queries reliably and efficiently. Drive Growth Product Strategy: partner with product, design, and AI teams to align technical investments with member and business needs. Foster a High-Performance Culture: champion engineering best practices, quality, operational rigor, and innovation across the team. Talent Development: recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. Cross-Functional Leadership: influence and collaborate across multiple teams and stakeholders to drive high-impact initiatives forward. Stay Ahead of Trends: monitor emerging technologies and industry trends to ensure a thriving online subscriptions ecosystem. Basic Qualifications
10+ years of experience building AI-powered consumer products at scale, with 5+ years in engineering leadership roles. Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields. Proven experience leading and scaling engineering teams to deliver consumer-facing products. Technical foundation in distributed systems, relevance algorithms, retrieval systems, personalization, and infrastructure. Preferred Qualifications
Hands-on experience in developing and deploying large-scale, consumer-facing applications. Proficient in Java, JavaScript, Databases. Track record of influencing technical and product strategy at an organizational level. Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Benefits and Compensation 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 skill set, depth of experience, certifications, and location. The total compensation package may include annual performance bonus, stock, benefits and/or other incentive plans. For more information, visit https://careers.linkedin.com/benefits. EEO and Accessibility LinkedIn is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees and applicants. Reasonable accommodations are available. For accommodations, contact accommodations@linkedin.com. LinkedIn follows Pay Transparency policies and provides global data privacy notices for job candidates at https://lnkd.in/paytransparency and https://lnkd.in/GlobalDataPrivacyNotice.
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