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What API and data model would support a new Energy workflow for performance enthusiasts
- Technical PM
- Tesla
- Easy
- 10 min
Problem Statement Description
Product context: Tesla is an electric vehicle, energy, and software company; its products include EVs, charging, vehicle software, Autopilot/FSD features, energy storage, and solar products.
Tesla is exploring a new Energy workflow for performance enthusiasts—drivers who care about acceleration, track-day readiness, sustained power, charging strategy, battery conditioning, and post-drive energy insights. The workflow may span the vehicle, Tesla mobile app, charging experience, and possibly home energy products, requiring a clear technical foundation for how data is captured, modeled, exposed, and acted on.
As the Technical PM, define the API and data model needed to support this workflow. Focus on what product capabilities the workflow must enable, what entities and events need to exist, how vehicle and energy data should be accessed safely, and how the system should balance real-time responsiveness with reliability, privacy, and battery/vehicle safety.
You should assume a connected Tesla ecosystem with vehicle telemetry, charging sessions, battery state, trip/session data, user preferences, and mobile app surfaces. The scope is not to design the full UI or algorithmic optimization, but to specify the technical product requirements that would let engineering teams build, integrate, monitor, and safely roll out the workflow.
The experience should consider:
- Core user actions, such as preparing for a performance drive, monitoring energy and thermal readiness, managing charging, and reviewing post-session insights
- Key data objects, including vehicle, battery, charging session, drive/session, energy consumption, location context, user profile, and consent state
- API requirements for read/write access, latency expectations, event streams, permissions, error handling, and versioning
- Data freshness and reliability needs across vehicle connectivity, mobile app usage, charging infrastructure, and home energy integrations
- Privacy, security, and safety constraints around location, driving behavior, battery health, and remote vehicle controls
- Observability needs, including API health, telemetry completeness, data quality, user workflow completion, and failure modes
- Rollout considerations, such as eligible vehicles, firmware dependencies, regional constraints, feature flags, and backward compatibility
- Product trade-offs between enthusiast-grade detail, simplicity, battery longevity, safety guardrails, and system complexity
Your goal is to describe a technically sound API and data model approach that enables Tesla to build a compelling Energy workflow for performance enthusiasts while preserving safety, trust, scalability, and long-term platform flexibility.
What this question tests
- Technical Fluency
- Systems Thinking
- API/Data Judgment
- Reliability Awareness
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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