KV | Staff Software Engineer

Khosla Ventures; Menlo Park (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

Khosla Ventures in Menlo Park is seeking a staff engineer to help found a team 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.

Reporting to Eric Johnson, the role focuses on building autonomous AI systems, agentic workflows, and data infrastructure to synthesize information and empower investors and

Qualifications

• About 10 years of full-stack software engineering experience with staff-level exposure.
• Experience delivering at least one 0-to-1 build: startup, new product line, or internal AI platform.
• Strong product instincts: translate fuzzy needs into shipped tools for non-technical stakeholders.
• Experience with LLMs/AI tooling in production (agents, 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 data.
• Excellent judgment around data sensitivity and confidentiality.
• Capable of shipping fast while maintaining a high quality bar.
• Making technology and vendor choices.

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.

Skills

Full-stack engineering

Product sense

LLMs & AI tooling

Security & data privacy

Vendor/product decisions

Tools

LLMs/AI tooling in production

Job description

We’re seeking a staff engineer to help found a team 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 ~10 years of full-stack software engineering experience in enterprise technology a portion of which is Staff-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.