Jobs at OpusClip

Own go-to-market strategy for OpusClip’s flagship AI video product. Lead product launches, sharpen positioning and messaging, collaborate with product and growth teams, translate capabilities into user value, and use performance data to improve adoption and activation. The role requires strong video-editing judgment, hands-on copywriting and demo creation, storytelling, customer insight generation, and comfort working autonomously in an ambiguous startup environment.

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.

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.

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.

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.

Own the full B2B SaaS sales cycle, including outbound prospecting, pipeline generation, discovery, product demonstrations, negotiations, forecasting, and closing enterprise and mid-market opportunities. Partner with GTM engineering to develop AI-driven sales motions, provide market feedback, and collaborate with Customer Success on durable account plans. The role requires consistently meeting revenue targets while selling to complex buying groups and supporting both near-term and strategic deals.