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Head of Engineering​/Founding Engineering Lead

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Head of Engineering / Founding Engineering Lead

Company Description

Only Edge is building the system of record for decision intelligence in private equity.

Today, critical leadership decisions are made through fragmented conversations, emails, spreadsheets, recruiter notes, interviews, diligence calls, and institutional memory that disappears over time.

Only Edge captures the signals, judgment, and outcomes behind those decisions so that they can be reused across deals, portfolios, and funds.

We believe edge is capturing the judgment behind what you do with data. It is not simply about extracting data faster.

We are entering a critical phase of MVP launch, commercialization, validation, and scale. You will help launch the system, onboard customers, and scale the architecture for growth.

Responsibilities and Duties
  • design, develop, and maintain full-stack applications
  • build AI-native workflows leveraging LLMs, search, retrieval, and intelligence systems
  • design and maintain APIs, data models, integrations, and supporting services
  • optimize application performance, scalability, reliability, and operating costs
  • contribute to architecture, technical direction, and engineering standards
  • support technical diligence, commercialization efforts, and fundraising activities
  • recruit, evaluate, and onboard engineering resources upon growth
Required
  • building and shipping production software in startup or growth environments
  • AI development tools (Cursor, Claude, OpenAI, Replit, Vercel)
  • modern web applications (Node.js, React.js, Type Script, Python)
  • AWS cloud infrastructure, deployment, and production operations
  • AI/ML technologies particularly LLMs
  • database systems (PostgreSQL, MySQL, etc.)
Preferred
  • AI/ML and LLM frameworks (Lang Chain, Hugging Face, RAG)
  • state management libraries (Redux, MobX)
  • search, retrieval, ranking, recommendation systems (Elastic Search, Open Search, SOLR)
  • containerization, micro-services, messaging and event-driven architecture
  • CI/CD pipelines and Dev Ops practices
  • domain knowledge of private equity and enterprise SaaS
What We Value

We care far more about engineering judgment, systems thinking, ownership, execution speed, adaptability, and business understanding than years of experience.

Compensation is structured around meaningful equity ownership during MVP launch and commercialization. Initial cash is modest and designed to increase with milestones.

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