# Security at Genesis AI

> Onsite · United States · Unspecified · Security · open. Source: https://alderhq.app/jobs/ashby%3Agenesis%3A3a6f87d1-01d8-4cf4-ba9e-26b70f7ef8a1 (read 2026-11-06).

## Facts (observed)

- Company: [Genesis AI](https://alderhq.app/companies/genesis-ai)
- Location text: Bay Area
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: Bay Area")
- Posted: 2026-05-22 (169 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/genesis/3a6f87d1-01d8-4cf4-ba9e-26b70f7ef8a1
- Skills listed (inferred): Python, Go

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 137): p25 $175k, median $219k, p75 $269k

## Description (the employer's text)

### What You’ll Do

Design, build, and scale security infrastructure from the ground up across our systems, networks, endpoints, and products

Own and evolve security architecture across endpoint security, network security, application security, product security, and data security

Develop and maintain detection, monitoring, and incident response capabilities across cloud and on-prem environments

Establish security controls, policies, and operational processes that enable the company to scale securely

Partner closely with engineering teams to integrate security throughout the software development lifecycle (SDLC)

Drive vulnerability management programs, including identification, prioritization, remediation, and validation

Lead risk assessments across infrastructure, applications, vendors, and internal systems

Build and improve security education and awareness programs across the organization

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

Own IT Infrastructure in the interim

What You’ll Do

Design, build, and scale security infrastructure from the ground up across our systems, networks, endpoints, and products

Own and evolve security architecture across endpoint security, network security, application security, product security, and data security

Develop and maintain detection, monitoring, and incident response capabilities across cloud and on-prem environments

Establish security controls, policies, and operational processes that enable the company to scale securely

Partner closely with engineering teams to integrate security throughout the software development lifecycle (SDLC)

Drive vulnerability management programs, including identification, prioritization, remediation, and validation

Lead risk assessments across infrastructure, applications, vendors, and internal systems

Build and improve security education and awareness programs across the organization

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

Own IT Infrastructure in the interim

### What You’ll Bring

Excellent software engineering and infrastructure skills (Python, Go, or similar)

Extensive experience building and operating security infrastructure in fast-moving environments

Deep understanding of modern security domains including endpoint, network, application, product, and data security

Experience designing and implementing detection and response systems

Strong understanding of security controls, risk management, and vulnerability management best practices

Experience integrating security into engineering and infrastructure workflows across the SDLC

Hands-on experience operating production infrastructure and cloud environments

Ability to operate independently, prioritize effectively, and build systems from zero to scale

Experience leading or mentoring security teams, while remaining highly hands-on as an individual contributor

Bonus: Experience securing AI systems, robotics platforms, or large-scale distributed infrastructure

Excellent software engineering and infrastructure skills (Python, Go, or similar)

Extensive experience building and operating security infrastructure in fast-moving environments

Deep understanding of modern security domains including endpoint, network, application, product, and data security

Experience designing and implementing detection and response systems

Strong understanding of security controls, risk management, and vulnerability management best practices

Experience integrating security into engineering and infrastructure workflows across the SDLC

Hands-on experience operating production infrastructure and cloud environments

Ability to operate independently, prioritize effectively, and build systems from zero to scale

Experience leading or mentoring security teams, while remaining highly hands-on as an individual contributor

Bonus: Experience securing AI systems, robotics platforms, or large-scale distributed infrastructure

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Agenesis%3A3a6f87d1-01d8-4cf4-ba9e-26b70f7ef8a1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
