Manager, Software Engineering Marketing Science

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 youll 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.

Responsibilities

• 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.

Qualifications :

Basic Qualifications

• 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.)

Preferred Qualifications

• 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.

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 $147000 - $240000. 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: 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.

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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 LinkedIns legal duty to furnish information.

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No

Employment Type :

Full-time