Security Engineer - Tech Lead
Luma AI
San Francisco, CA, USA
USD 230k-360k / year
- A top-tier research team with one of the best video generation models on the market (Ray-3.14)
- An enormous compute budget that only a few companies in the world can match ($900M Series C)
- The only one at that level directly targeting the creative space
- Building products that will completely change how creative work is done
- Design and mature how access to production systems is granted and governed
- Implement scalable RBAC / ABAC approaches across infrastructure and products
- Build robust secrets management and credential lifecycle practices
- Establish strong encryption and key management patterns
- Define how agents and automated systems receive authority, how it is scoped, and how it is revoked
- Create auditability and forensic visibility for user and system actions
- Lead threat modeling across infrastructure, product, and research domains
- Collaborate with engineering teams to make secure patterns easy and automatic
- Help drive readiness for enterprise security expectations and reviews
- Strengthen incident detection and response capabilities
- Raise the company’s security bar while preserving development velocity
- You have built and operated security foundations in real production environments
- You are excellent at writing code, reviewing infrastructure, and shipping systems
- You recognize that in AI platforms, software systems can act with real authority
- You’ve thought deeply about how services, automations, or models are scoped, constrained, and observed
- You think in terms of systems and trust boundaries
- You have high agency—you identify problems and drive them to resolution
- You can balance pragmatism with long-term rigor
- Engineers trust you and enjoy partnering with you
- You’ve helped organizations evolve toward mature, scalable security architectures
- You have experience implementing least-privilege access and modern identity models
- You’ve built durable approaches to secrets management and credential lifecycle
- You understand the nuances of securing multi-tenant AI platforms
- You have strong opinions on how autonomous systems should be permissioned and governed
- You know how to build detection and response capabilities in high-growth environments
- You can represent the company in detailed customer and partner security discussions
- You build platforms and paved roads that engineers love to use