Data Analyst, Twelve Labs
More information about location
AI-enabled video understanding technology
Job no longer available
AI-enabled video understanding technology
21-100 employees
Job no longer available
More information about location
21-100 employees
Company mission
To build the best video understanding platform driven by leading perceptual-reasoning research
Role
Who you are
- The ideal candidate will have a strong background in data analysis and statistics, as well as experience working with large datasets
- If you are a 0-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs
- 3+ years of experience as an analyst or data scientist in a fast-paced, data-driven environment
- Strong proficiency in SQL and Python
- Comfort with business intelligence tools in creating and maintaining reporting
- Solid understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and clustering
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable insights
- Strong communication and storytelling skills, with the ability to translate technical findings into business-relevant insights
- Collaborative and cross-functional team player, with the ability to work effectively with diverse stakeholders
- Familiarity with video understanding AI technologies and their applications is a plus
What the job involves
- We’re seeking a talented Data Analyst to join our team and contribute to the growth and success of our video foundation model platform
- In this role, you’ll help us establish and define Analytics at Twelve Labs; you’ll work closely with all facets of our business including our Product, Engineering, and Go-to-Market teams to analyze product data, marketing data, sales data to help us define the metrics that matter and actionable insights that inform our strategy and development roadmap
- Collect, process, and analyze large volumes of product usage data, customer feedback, and market data to identify trends, patterns, and opportunities
- Collaborate with product managers and engineers to define key metrics and KPIs for measuring product performance and collaborate on ensuring the right instrumentation of desired logging
- Build and maintain dashboards, reports, and data visualizations to communicate insights and trends to internal stakeholders
- Conduct user behavior analysis and segmentation to inform product development, pricing, and go-to-market strategies
- Develop and apply statistical techniques to predict user behavior, churn, and lifetime value
- Partner with customer success and sales teams to analyze customer data and identify opportunities for upselling, cross-selling, and retention
- Work with the marketing team to analyze the effectiveness of marketing campaigns and identify opportunities for optimization
- Collaborate with the research team to design and analyze experiments to test new product features and hypotheses
- Communicate findings and recommendations to senior leadership and cross-functional teams through clear and concise presentations and reports
- Stay up-to-date with the latest trends and best practices in data science, machine learning, and product analytics
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 recent 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 6 rounds)
Dec 2024
$30m
EARLY VC
Jun 2024
$50m
SERIES A
Total funding: $107.2m
Company benefits
- Full health, dental, and vision benefits
- Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
- Remote-flexible, offices in San Francisco and Seoul and coworking stipend
- VISA support (such as H1B and OPT transfer for US employees)
Company HQ
SoMa, 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)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.
Sung Jun (SJ) Kim
(Co-Founder)Served for the Ministry of National Defense as a Lead Software Engineer in the Cyber Operations Command. Before this, they were a Cyber Security Research Scientist at Sungkyunkwan University.
Dave Chung
(Co-Founder)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)Worked in Risk Assurance for PricewaterhouseCoopers in Seoul before co-founding Twelve Labs.
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