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VP Engineering - CTO - ClimaTech - Remote - Series A
VP Engineering - CTO - ClimaTech - Remote - Series APlan B Climatech • San Francisco, CA, United States
VP Engineering - CTO - ClimaTech - Remote - Series A

VP Engineering - CTO - ClimaTech - Remote - Series A

Plan B Climatech • San Francisco, CA, United States
4 days ago
Job type
  • Full-time
  • Remote
Job description

Overview

This range is provided by Plan B Climatech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

I am working with a high growth Series A funded ClimaTech business who are looking for their first VP Engineering / CTO. We are looking for someone who has a background in Big Tech but has also scaled start up's recently, ideally through multiple rounds of funding.

You will have a solid engineering background but must have direct, hands on experience with the following :

  • Ingestion : Ability to architect multi-source data pipelines (APIs, PDFs, DOCX, spreadsheets) with complex parsing steps; familiarity with tools such as Unstructured, Markitdown, LlamaParse.
  • Retrieval and Reranking : Fluency in building retrieval strategies (including query planning, expansion, and rewriting) on top of dense, sparse and hybrid embeddings; familiarity with standard off-the-shelf vector DBs
  • Evals : Experience building and maintaining strong evaluation suites for RAG pipelines; familiarity with tools such as DeepEval, Ragas.
  • Prompt Ops : Ability to reason about and engineer LLM contexts to maximize eval metrics while maintaining a balance between latency and pipeline reliability; familiarity with standard prompt engineering strategies such as pruning, compression, offloading to memory
  • Model Ops : Experience with LLM routing (optimizing quality output per token-$), retry / fallback strategies, semantic caching; familiarity with LiteLLM, OpenRouter
  • Agentic Systems : Experience building long-running tool-use agents with retry / compensation logic; familiarity with AutoGen, LangGraph, Agno, AgentOps
  • Systems Engineering : Experience optimizing end-to-end AI pipelines (ingestion ➜ retrieval ➜ LLM ➜ post-processing) for latency / throughput / cost budgets; experience with LLM observability tooling.

If you have hands on experience with the above and the role sounds interesting please share your resume ASAP.

Seniority level

  • Director
  • Employment type

  • Full-time
  • Job function

  • Industries : Services for Renewable Energy, Climate Technology Product Manufacturing, and Climate Data and Analytics
  • Referrals increase your chances of interviewing at Plan B Climatech by 2x

    VP of Technology & Engineering - fully remote

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    Vp Engineering • San Francisco, CA, United States

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