# Tell me about yourself | Behavioral interview question

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Source: https://www.aced.io/questions/104/tell-me-about-yourself
Source observed: 2026-11-04T21:34:58.461Z
Last checked: 2026-11-04T21:34:58.461+00:00
Indexed: 2026-11-05T00:25:08.986+00:00

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# Tell me about yourself.

We provide interview preparation through Aced, formerly Exponent. This public question page covers the behavioral interview prompt “Tell me about yourself.” It includes question activity, role and company breakdowns, shared interview experiences, community answers, related questions, courses, and an editor for submitting your own answer.

## Question overview

- **Category:** Behavioral
- **Reported interviews:** 256 interviews
- **Reported last asked:** 7 days ago
- **Saved by members:** 454
- **Question activity:** 85+ additional activity indicators are shown

### Roles represented

- [Product Manager — 93](https://www.aced.io/questions?role=pm)
- [Software Engineer — 64](https://www.aced.io/questions?role=swe)
- [Technical Program Manager — 17](https://www.aced.io/questions?role=tpm)
- [Engineering Manager — 10](https://www.aced.io/questions?role=em)
- [Data Scientist — 8](https://www.aced.io/questions?role=data-science)
- [Data Engineer — 8](https://www.aced.io/questions?role=data-engineer)
- Business Analyst — 6
- Forward Deployed Engineer — 5
- AI Engineer — 4
- Frontend Engineer — 4
- Program Manager — 4
- Management Consultant — 4
- BizOps & Strategy — 4
- Data Analyst — 3
- Site Reliability Engineer — 2
- Machine Learning Engineer — 2
- Finance and Strategy — 2
- DevOps — 2
- Product Marketing Manager — 2
- Account Manager — 2
- Ethical Hacker
- Product Analyst
- Solutions Architect
- Backend Engineer
- Sales Representative
- Product Designer

### Companies represented

The page reports the following company counts and company filters: Google — 22, Meta — 17, Amazon — 17, Microsoft — 13, Capital One — 7, Apple — 7, Deloitte — 6, Visa — 5, Salesforce — 4, TikTok — 4, JP Morgan Chase — 4, Shopify — 4, Bloomberg — 4, Datadog — 4, Accenture — 4, DoorDash — 4, Uber — 4, Stripe — 3, Cognition AI — 3, Airbnb — 3, OpenAI — 3, LinkedIn — 3, Brex — 2, Lyft — 2, Zendesk — 2, Sierra AI — 2, Siemens — 2, Snorkel AI — 2, Mastercard — 2, eBay — 2, Workday — 2, Home Depot — 2, Goldman Sachs — 2, Deutsche Bank — 2, DocuSign — 2. Other listed companies include Codincity, JP Morgan, Sidecar Health, Cisco, Pure Storage, Citadel, WeRize, Western Union, LiveRamp, Nike, Mercury, Lumos, Justworks, Palo Alto Networks, Harvey AI, Glean, Databricks, Scribd, C3 AI, Splunk, Fractal Analytics, Revolut, Robinhood, MongoDB, Booking.com, BCG Gamma, Abridge, Warner Bros. Discovery, EliseAI, Netflix, SeeScan, Rocket Money, United Healthcare, LiveKit, Anthropic, TheGuarantors, Infosys, Spotify, U.S. Bank, StubHub, fastenterprise, PayPal, IBM, Enter, Chime, Intel, Nvidia, Notion, NerdWallet, State Farm, Adobe, NxtWave, California Energy Commission, EY, CoastalDebtResolve, F22 Labs, Emirates Airline, Perplexity AI, SoFi, Oracle, Cognizant, innerve power, Achievers, HashiCorp, Centerview, ADP, Wayfair, Sigma computing, Okta, Electronic Arts, Reddit, Twilio, Block, Canva, Hinge, Vercel, Atlassian, hexerve solutions india, Agoda, Anduril, Snowflake, and Service Now.

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## Interview experiences

**191 shared** experiences appear on the page. These are community-submitted accounts, with the role and company shown for each account.

- [Codincity — Forward Deployed Engineer · Entry Level / L3](https://www.aced.io/experiences/codincity-forward-deployed-engineer-interview-341acc): Four rounds covering analytical puzzles, project deep-dives, consulting scenarios, a take-home Factory Copilot using computer vision and a RAG pipeline over internal SOPs, a technical defense of architecture and scaling, and a final hiring-manager round. The contributor said they were rejected over behavioral questions and career-gap handling.
- [Brex — Software Engineer](https://www.aced.io/experiences/brex-software-engineer-interview-aed5a4): Recruiter screen, practical coding with two easy and one medium coding question, debugging four one-line bugs, AI coding for a peer-to-peer app, and system design for a peer-to-peer app.
- [Tesla — Product Manager · Intern](https://www.aced.io/experiences/tesla-product-manager-intern-interview-048d3b): Medium difficulty, testing technical and product understanding together with behavioral and situational questions.
- [JP Morgan — Software Engineer · Mid Level / L4](https://www.aced.io/experiences/jp-morgan-software-engineer-interview-5f069b): Technical round easier than the final round; take-home project described as standard.
- [Sidecar Health — Product Manager · Staff / L6](https://www.aced.io/experiences/sidecar-health-staff-product-manager-interview-bf7e6c): Straightforward process, with a rigorous hiring-manager round and an onsite panel focused mainly on behavioral questions.
- [Salesforce — Product Manager · Intern](https://www.aced.io/experiences/salesforce-product-manager-intern-interview-4aa53d): Light cycle requiring basic PM preparation, with emphasis on prompt engineering and live AI-tool use.
- [Cisco — Product Manager](https://www.aced.io/experiences/cisco-product-manager-interview-4417b9): Recruiter screen, hiring-leader interview, and two 45-minute interviews on strategy, prioritization, technical communication, and design thinking.
- [Pure Storage — Software Engineer · Mid Level / L4](https://www.aced.io/experiences/pure-storage-software-engineer-interview-00a076): Focus on concurrency and recognizing core problems rather than standard LeetCode questions.
- [Capital One — Software Engineer · Senior / L5](https://www.aced.io/experiences/capital-one-senior-software-engineer-interview-2235d5): Four-question DSA online assessment; the contributor reported a perfect score followed by rejection without feedback.
- [Apple — Product Manager · Mid Level / L4](https://www.aced.io/experiences/apple-product-manager-interview-de36b8): A mini PM loop with three 30-minute PM interviews covering product sense, product marketing, and behavioral questions.
- [Salesforce — Product Manager · Entry Level / L3](https://www.aced.io/experiences/salesforce-product-manager-interview-65a152): Straightforward array coding and multiple-choice questions, plus AI strategy, products, and adoption.
- [Palo Alto Networks — Product Manager · Senior / L5](https://www.aced.io/experiences/palo-alto-networks-senior-product-manager-interview-fdc3cf): Recruiter and hiring-manager screens, AI prototype take-home, presentation, multiple final rounds, and deep technical questioning.
- [Meta — Software Engineer · Mid Level / L4](https://www.aced.io/experiences/meta-facebook-software-engineer-interview-86838c): Recruiter screen with resume and behavioral questions, followed by a traditional non-AI LeetCode coding round.
- [Harvey AI — Product Manager · Staff / L6](https://www.aced.io/experiences/harvey-ai-staff-product-manager-interview-998f60): One behavioral round on background, motivation, accomplishments, and a product built by the candidate; no product case or technical exercise.
- [Google — Software Engineer · Entry Level / L3](https://www.aced.io/experiences/google-software-engineer-interview-583541): Online assessment and phone screen followed by difficult LeetCode-medium coding.
- [TikTok — Site Reliability Engineer · Entry Level / L3](https://www.aced.io/experiences/tiktok-site-reliability-engineer-interview-591119): Recruiter discussion followed by a HackerRank coding interview with one or two LeetCode-medium problems.
- [Amazon — Ethical Hacker · Entry Level / L3](https://www.aced.io/experiences/amazon-ethical-hacker-interview-f2a119): Practical coding emphasizing clean architecture, defensive programming, edge cases, performance trade-offs, and an ML-infrastructure system-design round.
- [OpenAI — Technical Program Manager](https://www.aced.io/experiences/openai-technical-program-manager-interview-2060d6): Recruiter call followed by a 45-minute deep dive into a technical challenge or program the candidate led.
- [Mastercard — Technical Program Manager · Mid Level / L4](https://www.aced.io/experiences/mastercard-technical-program-manager-interview-915cee): Behavioral and bar-raiser questions, technical-stack deep dives, and program-management evaluation.
- [Microsoft — Business Analyst · Entry Level / L3](https://www.aced.io/experiences/microsoft-business-analyst-interview-f1b26d): Recruiter screen, hiring-manager conversation, and virtual loop covering behavior, SQL, data visualization, requirements gathering, and data-driven recommendations.
- [Notion — Product Manager · Mid Level / L4](https://www.aced.io/experiences/notion-product-manager-interview-ad283c): Hiring-manager screen, VP conversation, written exercise, and onsite interviews covering written-exercise discussion, product concepting, project deep dive, and cross-functional work.
- [Shopify — Product Manager · Senior / L5](https://www.aced.io/experiences/shopify-senior-product-manager-interview-516d5b): Product thinking, execution, stakeholder management, communication, and detailed follow-up questions.
- [Amazon — Product Manager · Senior / L5](https://www.aced.io/experiences/amazon-senior-product-manager-interview-f6df3b): Recruiter, hiring manager, and additional rounds focused on leadership principles, AI use at work, crisp storytelling, metrics, and decision follow-up.
- [Meta — Data Engineer · Mid Level / L4](https://www.aced.io/experiences/meta-facebook-data-engineer-interview-6679f7): Recruiter, 60-minute SQL/Python screen, behavioral round, and three loop rounds combining product sense, data modeling, SQL, and Python.
- [Sierra AI — Product Manager](https://www.aced.io/experiences/sierra-ai-product-manager-interview-fabda5): Recruiter, agentic-AI support-system design, prioritization take-home, case and metrics presentation, stakeholder-management/product-sense round, and fit deep dive.
- [DoorDash — Data Scientist · Staff / L6](https://www.aced.io/experiences/doordash-data-scientist-interview-7e8fae): Recruiter screen, SQL and product case, team matching, and a four-interview final loop emphasizing metrics, segmentation, funnels, and A/B testing.
- [Datadog — Product Manager · Senior / L5](https://www.aced.io/experiences/datadog-senior-product-manager-interview-b8e221): The contributor reported three “Strong Hire” ratings and one “No Hire,” with the single negative rating determining the outcome.
- [Vercel — Account Manager · Senior / L5](https://www.aced.io/experiences/vercel-senior-account-manager-interview-f2e025): More than 12 rounds, including meetings with the CRO and CEO.
- [Snowflake — Data Analyst · Entry Level / L3](https://www.aced.io/experiences/snowflake-data-analyst-interview-9150b8): Approximately two weeks from recruiter screen to final round, with clear expectations and evaluation criteria.

The page also contains additional shared accounts from companies including JP Morgan Chase, Salesforce, Zendesk, Cognition AI, Lyft, Microsoft, Google, Lumos, Justworks, Apple, Glean, Databricks, Airbnb, Sierra AI, Visa, C3 AI, Shopify, Splunk, Fractal Analytics, Revolut, Bloomberg, Siemens, Snorkel AI, Amazon, Robinhood, MongoDB, Booking.com, BCG Gamma, LinkedIn, TikTok, Abridge, Capital One, Accenture, Warner Bros. Discovery, EliseAI, Netflix, Workday, LiveKit, Anthropic, TheGuarantors, Infosys, eBay, fastenterprise, PayPal, IBM, Enter, Chime, Intel, Nvidia, State Farm, Adobe, NxtWave, California Energy Commission, Goldman Sachs, EY, F22 Labs, SoFi, Oracle, Meta, HashiCorp, Centerview, Uber, Wayfair, Deutsche Bank, DoorDash, Okta, Twilio, Block, Agoda, Anduril, and others. Duplicate cards with the same destination are repeated on the source page; each destination above remains distinct where supplied.

## Community answers

**116 community answers** are shown. The expert answer is abbreviated for non-members: it says this is a core behavioral question and recommends telling a coherent story. Community examples include:

- [Aarushi S.](https://www.aced.io/users/2bc3780b-a7a1-41b3-8967-f44226dfc3cd) describes a path from computer science and IT, EY R&D, Salesforce CRM business analysis at Accenture, IT infrastructure, data science, project coordination, and current data-program management focused on automation and sales campaigns. Updated October 1, 2026.
- [Ellen W.](https://www.aced.io/users/9d4397e6-1d5b-48ed-ad1e-6682f272c0e4) describes six years at a defense-tech unicorn, an MBA at CBS, and interest in Salesforce, scale, and business foundations. October 20, 2026.
- [Rajeev K.](https://www.aced.io/users/0fb46ea6-5e0f-4819-8b51-0e037bc19af5) describes product-management work in payments and commerce across Lazada, Jumia, Mumzworld, and HafH, including payment infrastructure and a tokenized PCI-compliant wallet. July 15, 2025.
- [Anushka S.](https://www.aced.io/users/9b1b19dd-e44f-4df3-bfb5-6ab20f460497) describes software development, product management, project execution, startup experience, and an MBA focused on technology strategy and product management. February 21, 2025.
- [Bipin R.](https://www.aced.io/users/35807d45-0cd4-4a64-bf94-df1c09ad626a) recommends starting with the current role, explaining the career path, mentioning one or two accomplishments, sharing outside-work activities, explaining the reason for seeking a new role, and inviting follow-up questions. January 18, 2022.

## Related questions

- [Walk me through your resume (Tell me about yourself)](https://www.aced.io/questions/6928/describe-resume-career-background)
- [Tell me about your last job.](https://www.aced.io/questions/3211/tell-about-last-job)
- [Tell me about a time when you taught yourself a skill.](https://www.aced.io/questions/4782/behavioral-learn-skill)

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