工程总监，商业消息优化

Meta（Meta Platforms）岗位：Director of Engineering, Business Messaging Optimization Responsibilities

Lead and grow a multi-team engineering organization spanning delivery infrastructure, ranking and auction, and signals and experimentation, including hiring and developing engineering managers and senior technical leaders

Set the multi-year technical vision and roadmap for marketing message delivery, including candidate retrieval, ranking, quality modeling, auction design, and pricing

Drive a quality-aware auction that balances advertiser value, business outcomes, and the experience of people receiving messages

Scale serving infrastructure to support rapid growth in traffic across multiple products, while improving efficiency, reliability, and observability

Build the signals and measurement foundation for optimization in a privacy-constrained environment, including experimentation that cleanly separates the effects of pricing, quality, and supply

Manage the funnel as one system: make tradeoffs across infrastructure capacity, model quality, and auction policy to maximize long-term value

Set a high operational bar for revenue-critical systems, including on-call health, alerting, and safe launch practices during peak seasons

Build strong partnerships with Ads ranking and delivery, WhatsApp, data science, product management, and privacy and policy teams to align roadmaps and land cross-organization initiatives

Partner with product leadership to ensure the optimization platform serves multiple products and buying surfaces

7+ years of engineering management experience, including managing other engineering managers

Demonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partners

Track record of building and scaling engineering organizations across multiple teams or product areas

Experience in establishing engineering strategy and roadmaps that span multiple teams and cross-functional partners

Experience diagnosing and resolving complex organizational health challenges, including retention, team structure, and leadership development

Experience driving measurable revenue impact through machine learning and infrastructure investments, validated through rigorous online experimentation

Experience with notifications, messaging, or other supply-constrained surfaces where frequency, timing, and user fatigue matter

Experience with large-scale candidate retrieval and serving systems, including capacity and efficiency tradeoffs

Experience with auction mechanism design, reserve pricing, bidding and pacing, or quality and integrity modeling in ads systems

Experience building machine learning systems under privacy constraints or limited signal availability

Experience leading organizations that build large-scale ads ranking, auction, pricing, or ads delivery systems

Experience setting technical direction across organizational boundaries, with key dependencies owned by partner teams

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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10+ years of technical industry experience in software engineering.

7+ years of engineering management experience, including managing other engineering managers.

Demonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partners.