🎨 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 Mission
We'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.
Responsibilities
Architect Dedicated Processing Environments: Design and implement high-throughput, isolated processing clusters for Enterprise clients. Build the "paved road" for strict tenant isolation and High Availability (HA) without noisy neighbor interference.
Scale Core Infrastructure: Drive improvements across our Temporal workflow clusters and production Kubernetes environments, implementing scaling strategies that support both self-serve consumers and high-touch Enterprise contracts.
Build the AI Serving Layer: Bridge engineering and research by collaborating with the AI/ML team to transform experimental models into scalable, production-ready services. Own the infrastructure that connects model outputs to user-facing features with minimal latency.
Implement Semantic Search at Scale: Build and operate high-dimensional vector database infrastructure (Milvus) to power "OpusSearch". Enable users to find exact moments across thousands of hours of video using natural language.
Enterprise Readiness: Architect the backend systems (bulk workflow orchestration, resource isolation, multi-tenancy) that enable large media houses to manage massive video archives.
Who You Are
Infrastructure-Minded Product Engineer: You care about why features exist and how they scale. You think in terms of throughput, isolation, and failure modes, but always in service of the user experience.
Systems Builder: You're experienced in building backend systems, designing APIs, orchestrating distributed workflows, tuning databases, and optimizing compute. You're comfortable debugging Kubernetes internals, Temporal workflow logic, and async processing pipelines.
AI-Native Mindset: You have experience or a strong, demonstrated interest in building infrastructure around AI models, managing GPU workloads, and serving models at scale.
Experience: 5+ years shipping production-grade backend systems. Experience with Kubernetes, workflow orchestration (Temporal or similar), video infrastructure, vector databases, or high-volume data pipelines is a major plus.
Our Tech Stack:
Orchestration & Compute: Kubernetes (GKE), Docker, Horizontal Pod Autoscaling (HPA)
Workflow Engine: Temporal
Languages: Python, TypeScript
Data & Storage: Redis, MongoDB, Vector DB, Postgres, Cloud Storage
Infrastructure as Code: Terraform
Observability: Datadog (APM, Custom Metrics)
Cloud: GCP
Why Join Now?
Market Leadership: We're defining the "Agentic Video Editing" category and setting industry standards for quality and taste.
Hard Infrastructure Problems: You'll build systems that process millions of video hours — tenant isolation, GPU scheduling, distributed workflow orchestration, and vector search at scale.
High Impact: Your work directly influences our ability to capture the prosumer/enterprise market and hit our ARR targets.
Vancouver Hub: Be a key part of our growing Vancouver site, working closely with leadership to shape our engineering culture.
Location (On-site):
Burnaby, Vancouver, CA
Compensation:
The base salary range for this position is CAD$160,000 - $265,000 annually.
This role is also eligible for performance-based bonus, with an annual range of CAD$13,000 - $58,000.
Actual compensation may vary based on factors such as a candidate's qualifications, skills, experience, and geographic location.
Competitive equity (ISOs)
🎁 Our Benefits:
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.
