LinkedIn-posted 24 days ago
Full-time • Manager
Hybrid • Mountain View, CA

This role will be based in Mountain View, CA. 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. We are seeking an Engineering Manager to lead the Marketing Solutions Marketing Science team, a team responsible for casual measurement of Ads performance. As the Engineering Manager, you'll spearhead the development and optimization of our next-generation Incrementality and A/B Testing Advertiser products and technologies to prove advertiser spend on LinkedIn and guide advertisers towards stronger incremental results. The ideal candidate will be excited for the challenge to transform and think critically on casual measurement approaches for B2B Advertising. With an experience in experimentation, analytical products and data modeling the candidate will disrupt how B2B Advertisers prove the value of investing in LinkedIn Ads.

  • Innovation Leadership: drive advancements in Incrementality Measurement and Optimization and simplifying system architecture for improved performance and scalability.
  • Define and productionalize new approaches for casual proof of marketing performance to LinkedIn clients.
  • Value Delivery: Implement tools and processes that prove incremental ROI for advertisers by spending on LinkedIn.
  • Create actionable insights and recommendations for advertisers to improve ROI and incremental value of spend on LinkedIn.
  • Partner with the optimization team to optimize, deliver and validate incremental value created.
  • Operations: Scale and enhance core experimentation infrastructure meet the requirement in scale, statistical accuracy and reliability.
  • Guide the team in scaling distributed systems, making architectural trade-offs, and applying synchronous/asynchronous design principles.
  • Team Empowerment: Build and mentor a high-performing engineering team capable of addressing challenges like marketplace balance, system reliability, and modern monetization strategies.
  • Lead and grow a team of 10 full stack engineers, supporting their performance, career development, and technical growth.
  • Act as a role model and coach, fostering a culture of high integrity, craftsmanship, and continuous improvement.
  • Partnership: Directly drive technical collaboration with external incrementality and A/B Testing measurement providers, and large LinkedIn clients to ensure valid and provable incremental marketing and sales outcomes are created by marketing spend on LinkedIn.
  • Strategy: Collaborate with senior leadership and XFN teams to define and evolve the long-term technology vision and roadmap.
  • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
  • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
  • 5+ years of industry experience in software design, development, and large-scale software engineering
  • Experience programming in object-oriented and/or functional programming languages (like Java/Scala/Python/C/C++/etc.)
  • MS or PhD in Applied Math, Computer Science, Statistics or related technical discipline
  • 2+ years of hands-on software engineering/technical management and people management experience
  • 7+ years industry experience in software design, development, and algorithm related solutions.
  • 5+ years programming experience in languages such as Java, Scala, C/C++, C#, Python, Go, etc.
  • 3+ years of experience building Ads Measurement or Analytical products
  • 3+ years in experience building offline / data processing systems
  • 2+ years of experience driving external client and partners measurement or advanced analytics programs.
  • 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 $147,000 - $240,000.
  • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.
  • This may differ in other locations due to cost of labor considerations.
  • The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
  • For additional information, visit: https://careers.linkedin.com/benefits
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