Founding Engineer

CleraSan Francisco, CA
$150,000 - $250,000Onsite

About The Position

Join a well-funded (Series A/B), stealth-stage consumer tech startup building an AI-powered map and social discovery platform. The product helps people figure out where to go and what to do — combining one of the largest structured indices of real-world places and events with a clever, social product experience. As a Founding Engineer, you'll own problems end-to-end, work directly with founders, and make architectural decisions that shape the core system. This is a high-ownership, high-impact role for someone who thrives in ambiguity and moves fast.

Requirements

  • 0–5 years of professional software engineering experience
  • Proven experience building real-time or low-latency production systems
  • Proficiency in search, ranking algorithms, and related infrastructure
  • Experience with data processing pipelines, ML/AI workflows, or data engineering
  • Track record of infrastructure and performance optimization at scale
  • Prior experience at early-stage startups; comfortable operating with high ambiguity
  • Ability to own features end-to-end with cross-functional collaboration (product, design, engineering)
  • Strong problem-solving and fast decision-making in fast-paced environments
  • You care about how something feels, not just whether it works
  • Must be eligible to work in the United States without sponsorship

Nice To Haves

  • Candidates must be located in or willing to relocate to San Francisco

Responsibilities

  • Own problems end-to-end
  • Work directly with founders
  • Make architectural decisions that shape the core system
  • Build fast, expressive interfaces across mobile and web
  • Own features end-to-end from UI to backend
  • Build the intelligence layer — search, ranking, pipelines, and agent systems
  • Design systems that operate over large-scale, messy real-world data
  • Search and ranking at massive scale (200M+ places, millions of events)
  • Recommendations and personalization of places and events using embeddings, structured data, and social signals
  • Real-time infrastructure — chat, presence, and location systems that feel instantaneous
  • AI agent pipelines that plan, retrieve, and reason over diverse data sources
  • Map display algorithms that determine what deserves attention
  • Data pipelines that structure large volumes of unstructured web data for novel product experiences
  • Pushing Elasticsearch and vector search to sub-100ms latency across large datasets

Benefits

  • Salary: $150,000 – $250,000 USD annually
  • Equity as a founding team member
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