Section 04
Even FAANG resumes get marked down for stale skills sections. By function, the 2026-relevant skills are:
Senior SWE (L5-L6 equivalent): The system-design vocabulary you used internally at FAANG (Spanner, Bigtable, Borg, etc.) does not translate. Map to public equivalents: Spanner → CockroachDB / NewSQL, Borg → Kubernetes, internal RPC → gRPC, etc. Plus the 2026 AI-tooling stack: Cursor, Copilot, Claude Code, LangGraph, agent SDKs, vector search (pgvector, Pinecone).
Senior PM (L5-L7 equivalent): AI product strategy, eval frameworks (LLM-as-judge, evaluation harnesses, golden datasets), customer-research synthesis with AI, Amplitude or Mixpanel with AI summarisation, plus the classic PM toolkit (Figma, Jira, Linear).
EM (L6-L7 equivalent): All of the SWE additions plus org-design vocabulary that Indian recruiters recognise: span of control numbers, IC-to-EM ratios, performance-calibration processes.
Data / ML (L5-L6 equivalent): dbt + warehouse SQL, Python data stack, Spark or BigQuery experience, LLM-based pipelines, vector databases, and a named foundation-model evaluation framework (Eleuther's lm-eval, Anthropic's evals, OpenAI's evals).
The rule: every skill on a FAANG-laid-off resume should signal one of three things — scale you operated at, recency of tooling, or a public-equivalent name for an internal-only system.