Behavioral

Demonstrating Ownership

• Pick a project where you drove it from ambiguous brief to production outcome
• Show proactive identification of risks — not just executing assigned tasks
• Include a metric: 'I reduced latency by 40%' beats 'I improved performance'
• Address what you would do differently — shows reflection and growth

On-Call and Incident Ownership

• Describe a production incident: what broke, how you detected it, how you mitigated and fixed it
• Show blameless post-mortem thinking: root cause, not finger-pointing
• Demonstrate follow-through: what process or tooling change prevented recurrence

Articulating Technical Tradeoffs

• Structure: identify the options, state evaluation criteria, explain your choice, describe the outcome
• Common AI tradeoffs: accuracy vs latency, cost vs quality, interpretability vs performance
• Show that you considered the second-order effects of your decision
• Acknowledge what you sacrificed — interviewers want to see you understand the downside

Build vs Buy Tradeoffs

• Buy/use managed services by default unless there is a compelling cost, customization, or data-privacy reason to build
• Articulate total cost of ownership: build has hidden costs (maintenance, on-call, iteration time)
• When you chose to build: state the differentiated capability that justified the investment

Navigating Technical Disagreements

• Separate the idea from the person — evaluate on merits, not seniority or personality
• Seek shared goals first: 'We both want to ship on time; the disagreement is on how'
• Use data to resolve disputes: prototype, A/B test, or run a spike before committing
• If unresolved, escalate with a clear decision brief — don't let disagreements block indefinitely

Cross-Functional Conflict

• PM vs eng conflicts usually stem from priority or scope misalignment — address the root cause
• Written decision records (RFCs, design docs) create shared context that reduces future conflicts
• Proactively communicate risks and constraints early — surprises escalate conflict

Prioritization Frameworks

• Impact vs effort matrix: focus on high-impact, low-effort quick wins first
• RICE score: (Reach × Impact × Confidence) / Effort
• Opportunity cost: choosing to do X means not doing Y — be explicit about what you deprioritized
• Align prioritization with the current business focus (growth, reliability, compliance)

Managing a Full Backlog

• Ruthlessly cut items that no longer align with current objectives
• Distinguish urgent from important — urgent tasks often crowd out high-impact important ones
• Communicate deprioritization clearly to stakeholders with the rationale

Working in Ambiguous Situations

• Clarify the goal before the solution: ask 'what does success look like?' before diving into implementation
• Make your assumptions explicit and document them — others can correct wrong assumptions faster
• Time-box exploration: set a deadline for research before committing to a direction
• Bias to action: a good-enough decision now beats a perfect decision too late

Defining Requirements from Scratch

• Talk to users/customers before writing a design doc — validate the problem before the solution
• Start with a written problem statement that all stakeholders agree on
• MVP thinking: what is the smallest version that validates the core hypothesis?

Communicating Impact

• Quantify whenever possible: latency, cost, accuracy, revenue, user retention
• Link technical work to business outcome: 'reduced p99 latency by 60%, which improved checkout conversion by 2%'
• If metrics are unavailable, describe the qualitative outcome and why it mattered
• Impact at scale > impact in isolation: show how your work affected many users or enabled others

Multiplier Impact

• The highest-leverage work enables others: shared libraries, platform improvements, documentation, mentoring
• Describe work that made your team permanently faster or more capable
• Senior engineers are assessed on team and organizational impact, not just individual output