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.
The team.We are the people behind the scenes of Indeed's search results. We ensure that our results are ranked as best as they can be for our job seekers and that they're not being duped by scams or fraud. Beyond search, we invest heavily in ensuring that Indeed has the best data analysis tools available to optimize our recruiting products and run accurate A/B tests. Simply put, we help people get the right jobs.
The International Taxonomy Team Lead is responsible for hiring, training, coaching, and overseeing a team of International Taxonomy Analysts who develop taxonomies and ontologies and apply metadata in order to significantly improve the job search experience for millions of Indeed users.
As an ideal candidate, you are an excellent cross-cultural communicator keen on developing and supporting your direct reports and the Taxonomy team. You’re comfortable giving and receiving feedback, don’t shy away from tough conversations when the need arises, and revel in celebrating team and individual successes. You have a thorough understanding of Indeed’s internal tools and processes and a desire to improve them to best suit your team and the business.
Coordinate and prioritize the team’s tasks and projects based on organizational objectives and initiatives
Hold weekly 1-on-1 meetings with all team members
Brainstorm and problem solve with Taxonomy Analysts to develop and test taxonomies and ontologies with the aim of improving Indeed search results
Evaluate categorized content to identify gaps in coverage, misclassified content, redundant and/or ineffective categorization rules, giving timely feedback to team members
Develop internal processes and workflows with an eye toward efficiency and impact
Perform the tasks of a Taxonomy Analyst when necessary, including but not limited to researching and developing classification structures, writing and reviewing rules, creating and maintaining crosswalks and mappings, and other core functions.
Suggest ways to improve and scale our products, processes, and internal tools
Conduct phone and in-person interviews for potential new hires
Manage PTO and other HR processes, including employee development
Conduct quarterly and annual reviews in conjunction with the Taxonomy Manager
Excellent verbal and written communication skills in English and Japanese
Substantial experience working and/or living in Japan
Passion for supporting and coaching team members to grow in their roles
Commitment to effective, direct feedback to promote impactful performance and efficient processes
Ability to navigate and resolve interpersonal and team issues with a positive attitude
Leadership mindset and desire to continuously improve people and processes
Strong problem solving and conceptual thinking abilities
Ability to work in a collaborative, fast-paced environment
Comfortable in technical environments and happy to learn new systems as needed
Strong background in research and analysis, including the ability to evaluate source authority
Ability to context switch between systems-level thinking and attention to minute details
Honed time management skills and demonstrated success in handling multiple, sometimes conflicting priorities
Ability to balance quick decision-making with attention to quality and accuracy
Familiarity with information recall concepts and experience classifying and refining results
Proficiency with Google G Suite (Gmail, Sheets, Docs, Hangouts, etc.)
Master’s degree in Library and Information Science or equivalent work experience
Experience developing, implementing, and/or maintaining controlled vocabularies (thesauri, taxonomies, ontologies) in a business environment
Experience managing people and processes
Experience interviewing and hiring candidates
Strong data retrieval and boolean search skills
Experience analyzing large datasets
Knowledge of SQL or SPARQL
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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.