Patch
Software Engineer - Market Intelligence
$170K–$220K
San Francisco · Hybrid · Full-time · Posted Oct 6, 2026
- Experience
- 3+ years of professional experience; the posting says delivered and owned work matters more than a precise number of years.
About the job
Build and operate production data systems, internal tools, and AI-powered workflows that turn fragmented climate-market information into reliable intelligence for Patch teams.
What you'll do
- Ingest, structure, enrich, and serve heterogeneous climate-market data, with validation, provenance, freshness tracking, and monitoring.
- Develop AI-powered research workflows, retrieval systems, MCP tools, APIs, and internal applications for Climate Strategy and commercial teams.
- Own software projects end to end, from understanding user needs and implementation through rollout, monitoring, and iteration.
What they ask for
- 3+ years of professional experience and a track record shipping and maintaining production software or data systems.
- Strong software engineering skills in at least one of Python, TypeScript, or JavaScript, plus solid SQL, API, and cloud-infrastructure experience.
- Experience with data ingestion, ETL/ELT, web scraping, data modeling, entity resolution, or external API integrations.
- Understanding of data trustworthiness practices, including testing, monitoring, versioning, documentation, validation, provenance, and data quality.
Nice to have
- Experience building or operating AI- or LLM-powered systems, such as retrieval, tool calling, agents, workflow orchestration, evaluation, or human-in-the-loop review.
- Experience with Salesforce, HubSpot, Gong, Zapier, n8n, BigQuery, dbt, enrichment platforms, climate or carbon markets, sustainability data, energy, finance, or research.
Pay
$170K – $220K USD base salary
Tools
Python, TypeScript, JavaScript, SQL, MCP, Salesforce, HubSpot, BigQuery
AI focus
Build AI-powered research workflows, retrieval systems, MCP tools, and agents that help teams discover, compare, enrich, and act on climate-market intelligence.
Model-written summary · the original posting is authoritative