Staff Site Reliability Engineer, Twelve Labs
$220-250k
+ Equity
VISA support where applicable
Video intelligence platform for enterprises
Open for applications
Video intelligence platform for enterprises
101-200 employees
Open for applications
$220-250k
+ Equity
VISA support where applicable
101-200 employees
Company mission
To set a new standard and unlock the full potential of video for the word.
Role
Who you are
- This role requires deep operational instincts, strong debugging skills, and the ability to balance long-term reliability investments against the pace of an early-stage AI company
- 7+ years of experience operating production infrastructure systems, not just building them
- Strong hands-on experience with AWS, Kubernetes in production environments
- Solid fundamentals in OS internals, networking, storage, and compute — the kind that help you debug a problem at 3am without documentation
- Deep practical experience with observability (Prometheus/Grafana/Loki or equivalent), Infrastructure as Code (Terraform, Ansible), and CI/CD
- Track record of owning services end to end — deployment, monitoring, incident response, and postmortem follow-through
What the job involves
- As a Staff Site Reliability Engineer at Twelve Labs, you will own the reliability, scalability, and operability of the infrastructure that powers our multimodal foundation models. You'll be hands-on — building systems when needed, but with a primary focus on ensuring production stays healthy, observable, and resilient
- You'll work most closely with the product teams in the US, supporting the infrastructure behind our core AI products
- Own production reliability end to end — from deployment through monitoring, incident response, and postmortem-driven improvement
- Partner with the product engineering teams to ensure their services are reliable, observable, and operable by design
- Build and maintain observability systems (metrics, logging, tracing, alerting) that give the team clear signal on system health and performance
- Design and operate cloud infrastructure supporting AI/ML workloads
- Drive incident response — detect, diagnose, mitigate, and prevent production issues. Build the runbooks, automation, and guardrails that reduce mean time to recovery
- Identify and eliminate toil through automation, self-healing systems, and better tooling
Application process
- All virtual interviews will be conducted via video. To support identity verification and interview integrity, candidates may be asked to present a government-issued ID. Candidates may also be requested to disable video filters and use a clear, unobstructed background to facilitate effective communication
Our take
Developing an algorithm that can understand text or images is (relatively) straightforward. However, the challenge escalates when it comes to understanding video, where these modes merge with audio, and context becomes much harder to grasp.
Twelve Labs has developed a machine learning solution that tackles this challenge by making the inner content of videos both indexable for developers and highly searchable for users. This technology could prove immensely valuable, with use cases extending far beyond simple searchability for end users. It could be employed for more accurate monitoring of community guidelines on social media, enterprise knowledge searches, and a deeper understanding of the value of video content.
With funding under its belt, Twelve Labs is set for rapid growth. The investment will drive R&D, nearly double its workforce, and advance its video understanding technology. As it expands, Twelve Labs is well-positioned to lead the future of multimodal AI and revolutionize how organizations extract values from video content.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Oct 2025
$3m
EARLY VC
Dec 2024
$30m
EARLY VC
Total funding: $110.2m
Company HQ
Northern Waterfront, San Francisco, CA
Leadership
Jae Lee
(Co-Founder & CEO)After Interning as a Software Engineer at Samsung and Amazon, they joined the Republic of Korea's Cyber Operations Command as a Lead Data Scientist. Co-founded Twelve Labs after this period of military service.
Aiden Lee
(Co-Founder & CTO)Previously Interned at Korea Advanced Institute of Science and Technology (KAIST) as a Deep Learning Researcher. Completed their National Defense duty as an AI & ML Engineer in the Cyber Operations Command.
Dave Chung
(Co-Founder & GTM of Asia-Pacific)Previously a Project Team Lead at the Institute of East and West Studies (IEWS) at Yonsei University, focusing on the planning and development of the Korean Web 3.0 ecosystem (Funded by the Ministry of ICT).
Soyoung Lee
(Co-Founder & Head of Go-to-Market)Previously worked in Risk Assurance for PricewaterhouseCoopers in Seoul before co-founding Twelve Labs.
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