Technical Interview
An interview format that evaluates domain-specific knowledge and problem-solving ability through technical questions, coding exercises, architecture discussions, or design problems. Standard in software engineering, data science, finance, and other technical fields.
A technical interview assesses your ability to perform the core technical work of the role. The format varies significantly by field. **Software engineering:** - **Coding interviews**: Algorithmic problems solved in real time (or via take-home). Common platforms: LeetCode, HackerRank, Coderpad. - **System design**: Architecture questions for senior roles ('Design a URL shortener,' 'How would you build Twitter?') - **Domain-specific**: Frontend (DOM manipulation, CSS specificity), backend (database design, API design), ML (model selection, feature engineering) **Data science / analytics:** - SQL problems (joins, window functions, subqueries) - Statistics questions (distributions, hypothesis testing, A/B test design) - Python/pandas challenges - Case-style problems (product metrics, growth analysis) **Finance:** - Financial modeling exercises (DCF, LBO) - Accounting concepts (balance sheet reconciliation, depreciation) - Deal or market analysis **Product management:** - Product design ('Design a product for X audience') - Metrics questions ('How would you measure success for feature Y?') - Technical depth questions (varies by company; FAANG PMs often need coding familiarity) **Preparation for engineering:** - Practice LeetCode easy and medium problems; hard for FAANG - Study the Top 75 (Grind75, Blind75) as a starting framework - Practice talking through your approach out loud — interviewers are evaluating your thinking process, not just the answer
Why it matters
Technical interviews are the primary differentiator in engineering and quantitative hiring. The ability to perform in this format is a learnable skill that improves significantly with deliberate practice — candidates who don't practice are competing against those who spent hundreds of hours preparing.
Candidate tip
In coding interviews, always explain your approach before writing code — starting with 'Here's my thinking: I'd use a hash map because...' demonstrates problem-solving process and earns partial credit even if your implementation has a bug.
Related terms
Whiteboard Interview
InterviewsA technical interview format where candidates write code or diagram system architectures on a whiteboard (or shared digital canvas) in real time. Common in software engineering interviews at larger tech companies.
Skills Assessment
ApplicationsA practical evaluation of your ability to perform specific job-relevant tasks — a coding challenge, writing assignment, data analysis exercise, or design brief. Skills assessments are more predictive of job performance than most interview formats.
Interview Preparation
InterviewsThe research, practice, and planning done before a job interview to improve performance. Effective preparation includes company research, STAR story preparation, question rehearsal, and logistical readiness — each of which reduces anxiety and improves your answers.
Case Interview
InterviewsA problem-solving interview format used primarily by management consulting firms and some tech companies, where candidates work through a business problem in real time. Evaluates structured thinking, quantitative reasoning, and communication — not pre-existing knowledge.