Overview
SEEK's tech interview process is known for being search-focused, product-driven, and experimentation-conscious. The job platform values engineers who can build scalable job search filtering engines, contribute to product strategy, and implement A/B testing for data-driven decisions. Interviews typically focus on your search technology skills, product thinking capabilities, and understanding of how technology impacts job search experience and platform growth.
Top 3 SEEK Tech Interview Questions
Question 1: Job Search Filtering Engine
"How would you design a job search filtering engine that scales to millions of listings?"
âś… Do:
- Discuss indexing strategies, caching layers, and Elasticsearch—relevant to SEEK
- Mention search algorithms, faceted search, and real-time filtering capabilities
- Discuss scalability, performance optimization, and search relevance ranking
- Show understanding of how search technology impacts job discovery experience
❌ Don't:
- Give generic search advice without considering job search specific requirements
- Ignore the critical importance of search performance and relevance in job platforms
- Focus only on technical implementation without considering user experience and business impact
Question 2: Product Strategy Contribution
"Tell me about a feature you built based on ambiguous product requirements."
âś… Do:
- SEEK encourages initiative—share how you clarified needs and scoped MVPs
- Discuss user research, stakeholder communication, and iterative development
- Mention data-driven decision making, user feedback, and product iteration
- Show understanding of how technical decisions impact product success
❌ Don't:
- Give examples that don't involve ambiguous requirements or product strategy
- Ignore the importance of initiative and product thinking in tech roles
- Focus only on technical implementation without considering product impact and user value
Question 3: A/B Testing and Feature Rollout
"What's your experience with A/B testing and feature rollout?"
âś… Do:
- Show experience using experimentation to drive data-informed decisions
- Discuss statistical significance, experiment design, and feature flagging
- Mention user segmentation, gradual rollout strategies, and impact measurement
- Show understanding of how A/B testing improves product development and user experience
❌ Don't:
- Give generic testing advice without considering experimentation and data analysis
- Ignore the critical importance of data-driven product development in job platforms
- Focus only on technical testing without considering business impact and user behavior
Final Advice
SEEK values engineers who can build scalable search systems, contribute to product strategy, and implement data-driven experimentation. Show that you understand the unique challenges of job platform technology and demonstrate your ability to create powerful search experiences, think strategically about product development, and use data to drive meaningful improvements.