🎨 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!
The MissionWe're building one of the world's largest AI video clipper. Having solved the "long-to-short clipping" challenge, we're now tackling the "magic quality" challenge: elevating AI quality and taste to match top editors, producers, and professional creative teams. We're also streamlining workflows by deeply examining content selection, video production, and post-production editing best practices while reinforcing our data flywheel. You'll join the team to push our product beyond its current limits.
ResponsibilitiesShip Product Improvements: Work closely with product, design and marketing/sales teams to build and ship prototypes, beta versions, and production releases of key features like AI-driven curation, auto-post functionality, and performance optimizations.
Build Across the Stack: Develop features end-to-end from React frontends to Node.js backends, contributing clean, well-tested code that ships reliably to production.
Support the AI Serving Layer: Help build the infrastructure that connects AI model outputs to user-facing features, working alongside the AI/ML team to turn research into production-ready services.
Work on Enterprise Features: Contribute to the "Enterprise Readiness" layer. Build bulk workflow capabilities that enable large media houses to manage massive video archives.
Build "Opus Intelligence": design and ship the dashboard that connects video content to real-world ROI (views, conversions), evolving our product from a utility into a decision engine.
Learn and Build with Vector Search: Help implement semantic search features using vector databases, enabling users to find exact moments across thousands of hours of video using natural language.
Grow Through Ownership: Take increasing ownership of features and systems over time, with mentorship from senior engineers who will help you level up quickly.ers to find exact moments across thousands of hours of video using natural language.
Product-Minded Builder: You care about why features exist, not just how to build them. You're excited about building tools that help creators answer "What should I post today?"
Eager Full Stack Learner: You have foundational experience across frontend and backend development. You may not have deep expertise in every layer yet, but you're comfortable jumping between React, APIs, and databases.
AI-Curious: You're interested in how AI-powered applications work and excited to learn about model serving, context windows, and vector search.
Resourceful Debugger: You're not afraid to dig into logs, trace network requests, and figure out why something is broken. You ask good questions and learn fast.
Experience: 0-2 years of professional experience (internships count). A CS degree or equivalent practical experience. Bonus if you've worked with any of: React, TypeScript, Node.js, Python, Docker, or cloud platforms.
You'll learn and work across this stack with support from the team: GCP, TypeScript, React, Node.js, Python, Redis, MongoDB, Cloud Storage, AI models
Accelerated Growth: Work directly alongside senior engineers and leadership in a small, high-caliber team. You'll learn more in one year here than in three at a large company.
Market Leadership: We're defining the "Agentic Video Editing" category and setting industry standards for quality and taste.
High Impact: Even as a junior engineer, your work ships to real users and directly influences our ability to capture the prosumer/enterprise market.
Vancouver Hub: Be a key part of our growing Vancouver site, with strong mentorship and a collaborative engineering culture.
Burnaby, Vancouver, CA
The base salary range for this position is CAD$120,000 - $160,000 annually.
This role is also eligible for performance-based bonus, with an annual range of CAD$10,000 - $40,000.
Actual compensation may vary based on factors such as a candidate's qualifications, skills, experience, and geographic location.
Competitive Equity (ISOs)
Comprehensive medical, vision, and dental coverage to support you and your well-being.
Flexible paid time off that empowers you to recharge, reset, and come back stronger.
Generous equipment, software, and office furniture budget, including MacBook, 4k monitor, standing desks and more of what you need to be creative and productive.
Access to the latest technologies and tools.
Visa sponsorship available, subject to eligibility.
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.
