KV | Senior Software Engineer

Khosla Ventures

Menlo Park (CA)

On-site

USD 200,000 - 260,000

Full time

14 days+

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Job summary

Khosla Ventures in Menlo Park, CA is seeking senior software engineers to build AI-native systems that operate ahead of the state of the art. You will report to leadership and work on multi-disciplinary teams to turn unstructured data into actionable knowledge for venture decisions.

The role emphasizes full-stack enterprise development, production-ready LLM tooling, secure data practices, and fast shipping of high-impact tools for sourcing, diligence, and portfolio support.

Qualifications

  • 5+ years of full-stack software engineering experience in enterprise technology.
  • At least one 0-to-1 build: a startup, new product line, or significant internal AI platform
  • Strong product instincts: translating fuzzy needs into shipped tools
  • Experience working with LLMs/AI tooling in production (agents, RAG, structured data extraction)
  • Self-directed, resourceful, and able to prioritize without heavy process
  • Genuine interest in venture capital, startups, or the KV portfolio ecosystem
  • Implementing a security model to protect sensitive firm and portfolio data
  • Excellent judgment around data sensitivity and confidentiality

Responsibilities

  • AI systems that are always on, reacting to events, alerting the right people, and taking actions autonomously.
  • AI agents that continuously research markets, technologies, companies, and people.
  • Systems that convert fragmented information into a durable institutional knowledge base.
  • Agentic workflows for sourcing, diligence, portfolio support, and firm operations.
  • Research systems capable of synthesizing large amounts of structured and unstructured data.
  • Internal products that make investors and operating partners more effective.
  • Data infrastructure connecting KV data with public and commercial datasets.
  • Evaluation systems that assess the usefulness of AI-generated research.
  • Propose new products and workflows you suggest

Skills

Full-stack engineering
Senior-level experience
Product instincts
LLMs/AI tooling
Security/compliance
Data confidentiality
Vendor evaluation

Job description

We’re seeking senior software engineers that will build an AI-native venture firm 6-12 months ahead of the state of the art. This role will be located in Menlo Park, CA and report directly to Eric Johnson, Operating Partner, former CTO at Gitlab and board member of the Linux foundation.

Responsibilities
  • AI that is always on, reacting to events, alerting the right people, and taking actions autonomously

  • AI agents that continuously research markets, technologies, companies, and people.

  • Systems that turn fragmented internal and external information into a durable institutional knowledge base.

  • Agentic workflows for sourcing, diligence, portfolio support, and firm operations.

  • Research systems capable of synthesizing large quantities of structured and unstructured information.

  • Internal products that make investors and operating partners dramatically more effective

  • Data infrastructure connecting proprietary KV data with public and commercial datasets.

  • Evaluation systems that tell us whether AI-generated research and analysis is actually correct and useful.

  • New products and workflows you propose

Qualifications
  • A total of ~5 years of full-stack software engineering experience in enterprise technology, a portion of which is Senior-level

  • At least one 0-to-1 build: a startup, new product line, or significant internal AI platform

  • Strong product instincts: comfortable talking to non-technical stakeholders and translating fuzzy needs into shipped tools

  • Experience working with LLMs/AI tooling in production (agents, voice, RAG, structured data extraction, etc)

  • Self-directed, resourceful, and able to prioritize without heavy process

  • Genuine interest in venture capital, startups, or the KV portfolio ecosystem

  • Implementing a security model to protect sensitive firm and portfolio company data

  • Excellent judgment around data sensitivity and confidentiality (dealing with sensitive financial and personal data)

  • Capable of shipping fast while maintaining a high quality bar

  • Making technology and vendor choices

About KV

Khosla Ventures backs bold, early, impactful companies tackling problems that matter. Since 2004, we’ve invested early in companies including OpenAI, Stripe, DoorDash, Square, Instacart, Rocket Lab, and QuantumScape across AI, enterprise, healthcare, climate, fintech, and frontier technology. We think of our role as venture assistance, not just venture capital: working alongside ambitious founders from the earliest stages to help turn unconventional ideas into enduring, world-changing companies.

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