Manager, Software Engineering, Machine Learning

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

Join LinkedIn’s mission to connect people with opportunity by leading the Jobs Marketplace Monetization AI Engineering team, a critical pillar of LinkedIn’s Jobs business.

As an Engineering Manager for Jobs Marketplace Monetization AI, you will lead teams solving some of the most complex and high-impact AI and marketplace problems at LinkedIn. This role sits at the intersection of auction design, monetization, relevance, and value delivery, ensuring that job seekers, hirers, and LinkedIn all realize sustainable and measurable value from the marketplace.

You will be responsible for building and evolving the next generation Monetization and Ranking engine, tackling challenges such as large-scale ranking and allocation, pricing and auction mechanisms, budget pacing, and multi-objective optimization across heterogeneous job formats and placements. The systems you lead operate at massive scale, serving millions of members and job postings, while making near real-time decisions informed by job demand, member intent, and hirer objectives.
This role demands deep technical leadership across AI/ML modeling, marketplace economics, and distributed systems, balancing short-term business outcomes with long-term platform leverage.

Location:

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 Sunnyvale, CA.

Responsibilities:

Marketplace & Monetization Leadership

• Lead the design and evolution of Jobs Marketplace monetization systems, including auctions, pricing, budget allocation, and value-based ranking.
• Drive principled tradeoffs across relevance, hirer outcomes, and LinkedIn revenue using multi-objective optimization.

AI & Platform Innovation

• Guide the Jobs Marketplace 2.0 vision by advancing AI/ML capabilities (including deep learning and LLM-powered systems) while simplifying architecture for scale, velocity, and reliability.
• Enable parallel experimentation across models and strategies without sacrificing quality or system integrity.

Value Delivery & Transparency

• Build mechanisms that give job posters clear visibility into ROI through forecasting, targeting, and quality applicant delivery.
• Ensure monetization strategies are grounded in fairness, incrementally, and long-term marketplace health.
• Collaboration
• Partner cross-functionally with Product, Data Science, Economics, and Business leaders to translate marketplace strategy into durable platform capabilities.
   

Qualifications

Basic Qualifications:

• 1+ year(s) of experience leading a team of AI/ML engineers as a people manager, or 1+ year(s) as a Staff Engineer with completion of a formal management training program. 

• 5+ years of industry experience, including significant work in the field of AI and/or Machine Learning.

• BA/BS in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications: 

• 10+ years of overall experience in AI engineering and/or leadership. 

• 2+ years of management experience, leading teams of 5-10+ engineers. 

• PhD in Computer Science, Machine Learning, Statistics or related field.

• Expert in recommendation system, LLM, knowledge graph, and natural language processing

• Experience developing large scale, enterprise grade solutions/systems

• Track record of producing papers in conferences such as KDD, WWW, WSDM, ... and patenting innovations

Suggested Skills:

• Large-scale AI Solutions 

• Technical Leadership

• Management 

• Critical Thinking 

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their fam