Jobs at OpusClip

Scale OpusClip’s creator marketing program through high-volume outreach, negotiations, campaign launches, content partnerships, and relationship management. Own creator pipelines, contracts, deliverables, payments, performance measurement, and ROI optimization across major social platforms. Track creator economy trends and rate benchmarks, attend industry events, and share creator insights with product and marketing teams.

Own the AI product roadmap for OpusClip, defining strategy, quality standards, evaluation frameworks, and metrics for generative features. Partner with engineering and design to ship polished AI capabilities at scale, conduct user research, prioritize initiatives, and develop repeatable methods for validating and launching AI-powered products.

Build automated UI end-to-end tests from real customer tickets and workflows. Reproduce reported failures, document edge cases, contribute tests to Engineering repositories and CI, review code, report flaky tests, and communicate customer impact and priorities. Use Claude Code or Codex daily while bridging Customer Experience and Engineering.

Own full-cycle recruiting for Engineering, Product, and Design roles. Partner with hiring managers and founders, develop recruiting strategies, source passive candidates, manage pipelines, coordinate interviews, collect feedback, and deliver a strong candidate experience in a fast-paced technology startup.

Develops AI-powered video creation workflows by combining visual design, generative AI, storytelling, and creative direction. Responsibilities include creating prompting frameworks, evaluating and refining AI-generated assets, operationalizing visual taste into scalable systems, experimenting with emerging creative tools, and collaborating with AI, product, design, and marketing teams.

Lead the Data Science function for an AI video product, setting priorities, guiding data scientists, analysts, and engineers, and solving high-impact analytical problems. Drive product, growth, experimentation, retention, monetization, and data-quality initiatives. Build reusable metrics, datasets, self-service tools, AI evaluation systems, and agentic analytics capabilities while partnering with Product, Growth, Finance, Engineering, and AI teams.

Lead AI engineering efforts from model development through production deployment. Optimize inference latency, throughput, GPU utilization, quantization, and serving costs; design evaluation systems and data flywheels using user feedback. Apply LLMs and multimodal models to video understanding, curation, ranking, personalization, and editing. Set technical roadmaps, review architecture, mentor engineers, manage a small AI team, and balance quality, reliability, latency, and infrastructure cost.

Leads the Burnaby engineering organization of approximately 10 engineers, owning delivery, architecture, reliability, security outcomes, hiring, mentoring, performance management, and team growth. The role is a hands-on player-coach responsible for growth, pricing, monetization, data, enterprise delivery, and sensitive production systems. It also requires supporting dotted-line platform, SRE, security, and B2B teams while partnering with global engineering and product organizations.

Support AI product development by conducting user research, experimenting with LLMs and AI models, designing evaluations, translating insights into product requirements, and owning features through development, launch, and iteration using quantitative and qualitative signals.