Arjun Mullick-Engineering Manager @ Meta

Arjun Mullick, Engineering Manager at Meta, breaks down why strong engineering leadership is built on more than technical execution, it requires earning trust, identifying the right customer problems, measuring impact, failing fast, and creating the psychological safety teams need to challenge ideas and build better solutions. Drawing from his experience across Amazon, Audible, and Meta, Arjun explains how engineering leaders can combine customer empathy, business outcomes, experimentation, and human judgment to create systems that solve real problems instead of just building technically impressive features. In this Episode, We Cover: 1. Why Arjun believes trust is built through three core components, competence, transparency, and consistency, and why trust becomes most visible when things do not go according to plan. 2. How to identify whether a customer problem is a real pain point before jumping into a solution, and why engineering teams should avoid building expensive or overly complex systems before validating the problem. 3. Why the right problem to solve often starts with asking, “What happens if we do not solve this?”, and how impact metrics, customer pain points, experimentation, and data help separate urgent problems from distractions. 4. How Arjun sets standards for his teams by defining business outcomes, reusing what already exists, studying past attempts, and measuring whether each project is incrementally moving the team toward the desired result. 5. Why failing fast is essential to strong engineering execution, and how cheap experiments, incremental learning, and quick validation help teams avoid wasting time on the wrong solution. 6. How Arjun creates psychological safety by recognizing small wins, listening well, rewarding quality work, and making it safe for team members to share problems, failures, and learnings openly. 7. What Arjun looks for when hiring, including low ego, curiosity, teamwork, learning speed, judgment, comfort with ambiguity, and the ability to learn from past failures. 8. Why human judgment remains critical as AI becomes more powerful, especially when evaluating whether AI-generated solutions are safe, aligned with the customer, production-ready, and built with the right safeguards. #Meta #EngineeringManager #EngineeringLeadership #SoftwareEngineering #ArtificialIntelligence #AI #CustomerCentricity #TechnicalLeadership #PsychologicalSafety #ProblemSolving #Leadership #Podcast