The coding interview is a hazing ritual. The wait after the final round is psychological warfare.
You've spent weeks optimizing dynamic programming solutions and practicing your "Why us?" speech. You finish the onsite (or virtual loop), close your laptop, and then... silence.
Is it a ghost? Is the recruiter just keeping you "warm" while they close a better candidate? Or is this just how 2026 works?
We have aggregated data from over 500 candidate timelines across the major tech giants to give you the definitive 2026 Interview Response Time Benchmark.
2026 Response Time Comparison Table
| Company | Avg. Response Time | Fastest Reported | Slowest Reported | 2026 Trend |
|---|---|---|---|---|
| Netflix | 3-7 Days | 24 Hours | 2 Weeks | Ultra Fast |
| Databricks | 5 Days | 2 Days | 2 Weeks | Fast |
| OpenAI | 5-10 Days | 2 Days | 3 Weeks | Fast |
| Anthropic | 20 Days | 3 Days | 3 Months | Variable |
| Meta | 2-5 Weeks | 1 Week | 8 Weeks | Slowing Down |
| 4-8 Weeks | 2 Weeks | 12 Weeks+ | Historically Slow | |
| Apple | 1-4 Weeks | 3 Days | 6 Weeks | Variable |
| TikTok | 3-5 Weeks | 1 Week | 6 Weeks | Strict Process |
| Uber | 3-6 Weeks | 3 Days | 8 Weeks | Variable |
| Capital One | 3-5 Days | 2 Days | 2 Weeks | Fast (Power Day) |
Databricks: Fast and Professional
Databricks has one of the most efficient hiring processes in data/AI companies. They officially target 48-hour feedback, and 73% of candidates hear back within one week.
- Typical Wait: 5 business days (median)
- The Reality: 32% get feedback in 2-3 days, but senior roles can take 2 weeks due to VP approval chains.
- Strategy: Use competing offers to expedite. They'll turn around decisions in 24 hours when you have a deadline.
Read the full Databricks Response Time Guide ''
Google: The Hiring Committee Bottleneck
Google is notorious for having the most complex process. Even after your interview panel says "Yes," you face the Hiring Committee (HC) and the Team Match phase.
- Typical Wait: 4-6 weeks
- The Delay: The "Team Match" pool where candidates passed technical bars but wait months for a headcount match.
- Strategy: You must have a competing offer to force a decision.
Read the full Google Response Time Guide ''
Meta (Facebook): The "Debrief" Cycle
Meta moves in batches. They typically hold debriefs on Thursdays. If you interview on a Friday, you won't hear anything for at least a week.
- Typical Wait: 2-3 weeks
- The "Hold": If they don't reject you immediately (within 48 hours), you are likely in the "Hold/Maybe" pile while they interview other candidates.
- Strategy: Follow up specifically on Tuesday mornings (before their weekly syncs).
Read the full Meta Interview Timeline Guide ''
Netflix: The "Culture" Decision
Netflix remains the anomaly. Their "Keeper Test" culture applies to hiring too. They decide fast because they prioritize "stunning colleagues" over consensus bureaucracy.
- Typical Wait: 3-7 days
- The Signal: If they ask for references, an offer is usually imminent (90% correlation).
- Strategy: Be ready to negotiate immediately. They pay top-of-market all-cash, so there's less back-and-forth on equity.
Read the full Netflix Hiring Journey Guide ''
OpenAI: The New "Google" (But Faster)
OpenAI has inherited Google's high bar but operates with startup speed. However, as they scale in 2026, we are seeing their timelines creep up specifically for research roles.
- Typical Wait: 1-2 weeks
- The Bottleneck: Executive review. Sam (or the executive team) still signs off on many hires, which can cause erratic delays.
Read the full OpenAI Response Time Guide ''
Anthropic: The "Team Match" Wildcard
Anthropic is unique because they hire into a pool and do team matching after technical approval. This adds weeks of silence, but creates better long-term fit.
- Typical Wait: 2-4 weeks (Team Match phase)
- The Silence: You will hear nothing during team matching. This is normal.
- Strategy: Be flexible on team placement to speed this up.
Read the full Anthropic Response Time Guide ''
Other Major Tech Companies
- Microsoft: Typically slower than average. The "As Appropriate" (AA) interviewer holds the veto power. Read Microsoft Guide ''
- Apple: Highly dependent on the specific team. Hardware teams move slow (security clearance/NDA checks), while Services teams move faster. Read Apple Guide ''
- Amazon: The "Bar Raiser" has the final say. You usually hear back within 5 business days mandated by their "2-pizza team" rules. Read Amazon Guide ''
- Nvidia: The new king of AI hardware. Their process has slowed down significantly due to application volume. Read Nvidia Guide ''
- Tesla: Chaos is the norm. Timelines are unpredictable, often depending on Elon's latest mandate. Read Tesla Guide ''
- Stripe: rigorous but organized. 4-8 weeks. Watch out for the specific "Integration" round feedback. Read Stripe Guide ''
- Salesforce: Enterprise speed. 2-4 weeks. Read Salesforce Guide ''
- TikTok: High pressure, 3-5 weeks. The "Hiring Committee" and "OA" are major blockers. Read TikTok Guide ''
- Uber: 3-6 weeks. Watch out for the "Bar Raiser" and "Team Match" delays. Read Uber Guide ''
- Capital One: 3-5 days. The "Case Interview" is the main filter. Read Capital One Guide ''
Summary: How to Survive the Wait
- Don't Pause: Never stop interviewing until the ink is dry on the offer letter.
- Use Leverage: The only thing that speeds up Google or Meta is a signed offer from the other.
- Check Your Spam: Yes, really.
- The "Follow-Up" Rule: Send one thank you note 24 hours after. Send one "Status Check" 7 days after. Then stop. Desperation lowers your negotiation power.
Need to negotiate that offer once it finally arrives? Check out our Salary Negotiation Scripts.
