🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.
We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence.
We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.
Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.
Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:
Be a Champion Team
Prioritize Ruthlessly
Ship fast, Quality Follows
Obsess over customers
Be a part of this exciting journey with us!
About the Role
We're looking for a Data Scientist to build and scale OpusClip's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics, working closely with cross-functional partners to drive measurable business outcomes.
This role will be fast-paced and intense. We're looking for ambitious people who believe in AI and are excited to grow and make an impact in a high-energy environment.
This is a hands-on role: you'll contribute to the data vision and system designs, and roll up your sleeves to build pipelines, models, and analyses that power Opus's growth.
Responsibilities
Data Engineering & Infrastructure
Design, implement, and maintain robust pipelines across multiple sources, including GCS, Intercom, data warehouses, Superset, and third-party SaaS platforms.
Ensure scalable ingestion, transformation, and governance of structured and unstructured data.
Applied Data Science & Analytics
Lead advanced analyses across growth, CRM/CX, payment flows, and web tracking.
Build marketing-attribution models to measure ROI and optimize spend.
Analyze user lifecycle and retention patterns (including churn risk); qualify upsell leads, recommend upsell triggers, and estimate customer lifetime value (CLV)
Develop predictive models on user behavior to power personalization and recommendations.
Create user segmentation and tagging frameworks to enable targeted engagement strategies. Drive the training/tuning of AI across product, engineering, GTM, CX departments.
Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.
Establish best practices in A/B testing and post-experiment evaluation.
Prior experience in these areas is highly valued.
Experimentation & Insights
Partner with product, business and customer success teams to design experiments and interpret results.
Drive rigor in experiment design, metric selection, and causal inference.
Requirements
Location: On-site in Burnaby, BC. 5 days per week required.
Experience
3-6 years in data-related roles with a strong individual-contributor background.
Proven track record of leading projects end-to-end in a fast-paced, high-ownership environment.
Education
Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).
Technical Expertise
Strong proficiency in Python and SQL, with hands-on experience across the data lifecycle.
Experience with the modern data stack (BigQuery, dbt, Superset, Statsig) and workflow orchestration (e.g., Airflow).
Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.
Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.
Familiar with LLM and agent workflows, curious and committed to pushing the frontier.
Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.
AI Literacy
Passionate about and proficient in building pipelines with modern AI Agent/LLM-based SaaS tools. Excited about building and experimenting with data-driven agents/agentic workflows.
Preferred experiences with reinforcement learning (RL) and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.
Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.
Analytical Excellence
Deep experience in A/B testing, experimentation platforms, and post-experiment analysis.
Strong statistical intuition with the ability to translate results into actionable insights.
Domain Experience
Exposure to CRM/CX, payments, web tracking, and user data.
Experience building data products that support BD and customer-facing use cases.
EEO
OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
