To succeed in the Attentive interview loop, you must deeply understand the core competencies the hiring team evaluates. The virtual onsite is heavily structured around distinct technical and leadership pillars.
System Design Interview (SDI)
As an Engineering Manager, you are expected to guide your team's architectural decisions. The System Design Interview (SDI) tests your ability to architect scalable, resilient, and high-throughput systems, which is critical given Attentive's massive messaging volume. Strong performance here means confidently driving the conversation, asking clarifying questions, and explicitly discussing trade-offs between latency, consistency, and availability.
Be ready to go over:
- High-throughput data pipelines – Designing systems capable of processing millions of concurrent events or messages.
- Database selection and scaling – Choosing between SQL and NoSQL, and strategies for sharding, replication, and caching.
- Microservices architecture – Decoupling services, managing inter-service communication, and ensuring fault tolerance.
- Advanced concepts (less common) –
- Rate limiting algorithms and implementations.
- Designing idempotent APIs for distributed message delivery.
- Disaster recovery and multi-region failover strategies.
Example questions or scenarios:
- "Design a high-volume notification system that sends SMS messages to millions of users within a specific time window."
- "How would you architect a real-time analytics dashboard for our clients to track message engagement?"
- "Walk me through how you would scale a legacy monolithic application into a distributed microservices architecture."
People Management
Your ability to lead, mentor, and grow engineers is central to this role. Interviewers want to uncover your specific management philosophy and how it translates into daily practice. A strong candidate will provide specific, nuanced examples rather than generic management platitudes, demonstrating empathy, clear communication, and decisive action.
Be ready to go over:
- Performance management – Identifying and coaching underperforming engineers, as well as sponsoring top talent for promotion.
- Conflict resolution – Navigating disagreements between engineers or between engineering and product teams.
- Hiring and team building – Sourcing, interviewing, and successfully onboarding diverse engineering talent.
Example questions or scenarios:
- "Tell me about a time you had to manage out an underperforming engineer. What steps did you take?"
- "How do you handle a situation where your tech lead and your product manager fundamentally disagree on a project's direction?"
- "Describe your process for ramping up a new engineer on a complex legacy system."
Project Execution and Delivery
Attentive moves quickly, and Engineering Managers are expected to deliver reliable software on predictable timelines. This area evaluates your ability to manage scope, mitigate risks, and communicate status to cross-functional stakeholders. Strong performance involves showcasing a data-driven approach to tracking progress and a proactive stance on risk management.
Be ready to go over:
- Agile methodologies – Adapting sprint planning, estimations, and retrospectives to fit team needs.
- Technical debt management – Balancing the need for rapid feature delivery with the necessity of maintaining system health.
- Cross-functional collaboration – Aligning engineering output with product, design, and go-to-market strategies.
Example questions or scenarios:
- "Tell me about a project that was falling behind schedule. How did you identify the risk, and what did you do to course-correct?"
- "How do you prioritize technical debt against a demanding product roadmap?"
- "Describe a time when you had to push back on a product requirement because of technical constraints."
Technical Competency (Coderpad / Skills Test)
Even as a manager, you must retain a strong technical foundation to earn the respect of your team and unblock them effectively. The Coderpad or skills test portion evaluates your practical coding and problem-solving abilities. You are evaluated on your logical structuring, edge-case consideration, and code quality, rather than just arriving at the correct answer.
Be ready to go over:
- Data structures and algorithms – Practical application of arrays, hash maps, trees, and graphs.
- Code review simulation – Identifying bugs, security flaws, or inefficiencies in a provided block of code.
- Debugging – Systematically tracking down and resolving issues in a constrained environment.
Example questions or scenarios:
- "Write a function to parse a large log file and return the top 10 most frequent IP addresses."
- "Review this piece of legacy code and walk me through how you would refactor it for better performance and readability."
- "Implement a basic rate limiter using a sliding window approach."