Ref#: R0018448

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
Indeed is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.
Candidate Recommendation team builds machine learning models that recommend best-match candidates for jobs posted on Indeed. The team’s mission is to build the world’s best AI matchmaker that can connect all jobs with the right jobseekers. To achieve this, the team leverages unparalleled rich data on Indeed and works closely with related teams in Tokyo, Austin, and Seattle to deliver candidates’ recommendations.

The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits. 

Tokyo Base Salary Range: 14,000,000 - 18,000,000 JPY per year

Your job.

Our team is focused on creating an innovative system to help match both job seekers and employers. We believe that job search is not just about skill matching, a Job seeker might seek for changing industry or position, or new challenges overseas. That is the reason we try so hard to  understand the job seekers’ job search intent and interests from various data, not only their experience and skills. We develop search ranking models using these data with machine learning technology to show jobseekers matched job while also helping employers find the right candidates in time.

As a Software Engineering Manager on the Candidate Recommendation team, you will provide hands-on leadership for a development team of a 6-8 members using your technical experience and deep knowledge. You will actively partner with Product Managers (PM) and other key team members in both Tokyo and Austin,TX  to create and prioritize the product roadmap and to help refine and enhance the business strategy. All of Indeed’s products are built with performance, scalability, and data-driven decision-making in mind.

About you.

We are looking for someone who is passionate about coding, love intellectual challenges, are eager to learn, and want to work with a variety of technologies to solve interesting problems.


  • Significant prior success as a Software Engineer working on challenging problems of scale
  • Solid knowledge of data structures and algorithms and excellent programming skills
  • The ability to guide a team to achieve important goals together
  • The desire to solve tough problems with quality software at scale
  • An understanding of the value derived from shipping code rapidly to production and learning/iterating on the results.
  • Strong ability to coach developers, helping them improve their skills and grow their careers

Nice to have

  • Experience in machine learning, data engineering 
  • AWS Experience and knowledge
  • Search technology experience such as Lucene, Solr and/or Elastic search
  • Experience building high-performance distributed systems
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