Video Editor / Motion Designer
Job description
About the role
The role turns AI product development into short-form videos that hold attention and feel premium.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Converting raw material into focused videos moves from idea to final cut for social, launches, product moments, and ads. Footage, screen recordings, streams, and interviews transform into short-form content that communicates clearly to viewers. Every edit stays on-brand and meets high quality to match Tempo's standards.
Requirements
The posting states a bachelor's degree requirement. A strong eye for pacing, rhythm, story, and visual taste guides each edit toward clear communication. Comfort with After Effects, Premiere, Photoshop, or similar tools supports fast, confident production work. Access to a Mac enables editing Screen Studio videos that the team records for product content. Speed with new tools, especially AI, motion, and design tools, helps you adapt quickly to shifting requirements. Interest in startups, AI, software, and the tools people use to build products drives curiosity and ongoing learning. Strong communication skills ensure smooth collaboration across roles and efficient feedback exchange. High ownership means you act independently without waiting for constant direction or hand-holding. Comfort in a fast-moving, high-intensity environment keeps work steady under pressure and deadlines. Fluent English, written and spoken, supports clear messaging and professional representation. A genuine interest in this world, even without deep technical knowledge, shows the right mindset for the role.
Practical notes
You must submit two videos: a 30-60 second clip speaking to camera about why you fit Tempo, and your best video or motion design work in English. to complete your application.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
Video editing blends storytelling and motion design to communicate product value quickly to viewers. Motion tools like After Effects add life and clarity to static interfaces and prototypes. Fast feedback cycles require resilience, clarity, and ownership to maintain consistent quality. AI tools are increasingly used to accelerate production and experimentation in modern video workflows. Strong communication keeps remote collaboration efficient and focused across distributed teams.
Questions to ask
Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.