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REQUIREMENT_ID_2185 • 3-DAY_ACTIVE_POLICY JD

Talent Acquisition

Company
Company CodeRound AI
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Up to ₹10 LPA
Location
Location Mumbai, Maharashtra
Posted Date
Posted Date Today
Apply on Official Website ↗
Talent sourcing candidate screening ATS management communication interpersonal skills basic data analysis employer branding negotiation time management
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Aptitude Practice Questions Open Resource ↗
Helps you sharpen logical and quantitative reasoning skills essential for the first screening round.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into common interview patterns and questions asked by tech‑focused startups.
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Comprehensive Interview Prep Resource Open Resource ↗
Covers a wide range of topics from HR fundamentals to AI‑driven recruitment tools, useful for all interview stages.
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Algorithm Problem Set Open Resource ↗
While not directly related to recruitment, solving algorithm problems improves analytical thinking useful for case studies.

Any graduate (B.Tech/B.E., B.Sc., B.Com, BA, BBA, or equivalent) with a minimum of 60% aggregate (or CGPA 6.5/10). Open to all streams; commerce, arts, and engineering graduates are welcome. Final year students can apply if they can join immediately after graduation. No active backlogs allowed at the time of joining. Candidates must have strong communication skills in English and be comfortable working from the Mumbai office.

1
Round 1: Aptitude & Logical Reasoning Test
2
Round 2: Domain/Technical Interview (Recruitment concepts, AI‑driven hiring tools)
3
Round 3: HR Interview (cultural fit, motivations, salary discussion)
CodeRound AI is an emerging startup that leverages artificial intelligence to transform the recruitment landscape. Founded by a group of technologists and HR veterans, the company builds AI‑driven platforms that help enterprises source, screen, and engage talent faster and more accurately. With a focus on data‑centric hiring, CodeRound AI has quickly attracted investors and a growing client base across fintech, e‑commerce, and SaaS sectors. The work culture emphasizes rapid experimentation, cross‑functional collaboration, and a flat hierarchy that encourages every employee to contribute ideas directly to the founders. The Talent Acquisition role is designed for fresh graduates or early‑career professionals (0‑2 years of experience) who are eager to dive into tech hiring. As a Talent Acquisition Associate, you will partner with the leadership team to understand hiring needs, craft compelling job narratives, and manage end‑to‑end recruitment cycles for AI‑focused product teams. This position offers direct exposure to cutting‑edge recruitment technology, mentorship from seasoned recruiters, and the chance to shape the talent strategy of a high‑growth startup. Key Responsibilities: 1. Source candidates through multiple channels including LinkedIn, job boards, campus drives, and AI‑powered sourcing tools. 2. Conduct initial screening calls to assess technical fit, cultural alignment, and career aspirations. 3. Coordinate interview schedules between candidates and hiring managers, ensuring a smooth candidate experience. 4. Maintain and update the applicant tracking system (ATS) with accurate candidate data and pipeline metrics. 5. Assist in creating and posting job descriptions that reflect the brand voice and role requirements. 6. Build talent pipelines for critical roles such as data scientists, machine learning engineers, and product managers. 7. Provide regular status updates and recruitment analytics to senior leadership. 8. Participate in employer branding initiatives, including campus events, webinars, and social media campaigns. 9. Support offer negotiations and onboarding processes to ensure seamless transitions. 10. Continuously learn and apply AI‑driven recruitment best practices to improve time‑to‑hire and quality of hire. Tech Stack & Tools: Leveraging AI sourcing platforms (e.g., HireVue, Eightfold), ATS (Greenhouse), CRM tools, LinkedIn Recruiter, and basic data analysis using Excel or Google Sheets. Growth Path: High performers can progress to Senior Recruiter, Talent Acquisition Lead, or specialize in niche domains such as Technical Recruiting or Employer Branding. The role also opens pathways to People Operations or HR Business Partner tracks. Why Join CodeRound AI? You will work at the intersection of technology and talent, gaining hands‑on experience with AI‑enabled hiring tools while contributing directly to the company’s growth story. The startup environment offers rapid responsibility, mentorship from founders, and a vibrant culture that values learning, innovation, and work‑life balance.

CodeRound AI — Software Engineering & Full Stack Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
CodeRound AI Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for CodeRound AI and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Talent sourcing, candidate screening, ATS management, communication, interpersonal skills, basic data analysis, employer branding, negotiation, time management) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
CodeRound AI Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Talent sourcing. Answer ▼
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer ▼
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer ▼
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer ▼
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer ▼
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join CodeRound AI as a Talent Acquisition?
Preparation Tip: Highlight CodeRound AI's market reputation, recent tech innovations, and how your skills in Talent sourcing directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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