Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 57.
At Apple, jobs usually come down by about day 48.
From 9,462 similar postings that came down, and 462 of Apple’s. Coming down is not always a hire.
At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apples Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineering Manager to build high quality, scalable and resilient distributed systems that power Apple's cloud analytics platforms and data pipelines. Apple's Enterprise Data Warehouse landscape caters to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. If you are looking to solve infrastructure problems at scale, both on-prem or in cloud, focusing on ease of use, ease of maintenance and most importantly implement solutions that are scalable, you will have fun in AiDP! If you enjoy learning new technologies, solving challenges with little mentorship, and are comfortable proposing and implementing solutions, demonstrating Software Engineering standard methodologies, you will find it rewarding to work in AiDP! The ideal candidate for this position will be able to think outside of the box and should have passion for building engineering solutions to enable business in making time sensitive and critical decisions. This position is based in Shanghai, China.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 8 and day 57.
At Apple, jobs usually come down by about day 48.
From 9,462 similar postings that came down, and 462 of Apple’s. Coming down is not always a hire.
483 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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No pay amount identified in the saved description.
Shanghai
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting