Jobs at Mirage

Own the end-to-end customer lifecycle for Captions across iOS, Android, and web. Develop and execute onboarding, activation, conversion, retention, and winback programs across email, push, in-app, and SMS channels. Lead lifecycle strategy, experimentation, personalization, and performance optimization while partnering with product, engineering, data science, and creative teams. Use subscription metrics and customer insights to improve trial conversion, churn, reactivation, and lifetime value.

Product Data Scientists will embed with iOS or web teams to define product metrics, analyze user behavior, design experiments, build statistical and machine learning models, and turn findings into actionable recommendations. They will create dashboards, experiment readouts, decision memos, and AI-powered analytics workflows while partnering with Product, Design, Engineering, and Data Engineering.

Own end-to-end recruiting for Engineering and Product teams, including sourcing, candidate engagement, stakeholder partnership, negotiations, and offer acceptance. Develop innovative strategies to attract elite technical talent, improve hiring velocity and recruiting efficiency, support inclusive hiring, and deliver a high-touch candidate and hiring-manager experience.

Experienced Product Designer responsible for shaping AI-native video creation products from strategy through launch. The role involves defining product vision, solving complex user problems, developing interaction paradigms, conducting research, creating prototypes, scaling design systems, and shipping polished consumer experiences. The designer will collaborate with executives, product, and engineering teams, mentor other designers, influence product decisions, and balance user needs with technical and business constraints.

Lead Mirage’s Product Design function by setting design vision and quality standards, managing and developing designers, and building the team, systems, and culture. Partner with executive, Product, and Engineering teams on product strategy and roadmap. Guide complex AI-native video creation experiences from exploration through launch, translating emerging capabilities across text, image, audio, motion, and video into intuitive products.

Design, build, and own backend services, APIs, data pipelines, infrastructure, and ML systems powering an AI-native video platform. Solve distributed systems, scalability, concurrency, and performance challenges; deploy and operate generative AI models in production; integrate third-party providers; and improve system quality through instrumentation and experimentation. Partner cross-functionally to deliver reliable products and lead projects end-to-end.

Build agentic systems for multimodal creative tasks, especially video analysis and editing. Develop and adapt large language models through novel objectives, datasets, fine-tuning, and alignment methods. Create evaluation frameworks, run systematic experiments, analyze failures across planning and tool use, and improve agent reliability. The role requires ownership from model experimentation through deployed agent systems and is based in-person at the company’s New York City headquarters.

Build and ship native iOS video and creative tools involving user interfaces, graphics rendering, and audio/video processing. Collaborate with designers, scope and deliver projects end-to-end, instrument products, run A/B tests, and iterate using production data. The role requires strong computer science fundamentals and experience with modern iOS frameworks and technologies, with opportunities to contribute foundational work at an AI-native video startup.

Lead product strategy for an AI-native video creation platform while managing and developing Product Managers. Translate generative media model capabilities into reliable creative workflows, own products from discovery through launch and iteration, define evaluation frameworks, engage users and markets, and collaborate across Research, Engineering, Design, Marketing, Growth, and Support.

Build and scale generative video and multimodal models, improving training and inference efficiency, latency, memory usage, cost, GPU utilization, and throughput. Develop distributed training systems, optimization techniques, experimentation and evaluation tools, and production-ready model systems. Monitor real-world performance and translate research prototypes into reliable, low-latency video generation products.

Design and build production agentic systems for creative video workflows. Responsibilities include architecting agents that gather context, plan, select tools, and execute tasks; integrating advanced models; and improving quality through experimentation, evaluation, and production feedback. The role spans product, machine learning, and systems engineering, with end-to-end ownership of agent infrastructure and experiences.

Develop and optimize performance advertising campaigns across paid social platforms. Source, negotiate with, and manage global creators; prepare creative briefs; guide ad production; analyze campaign data; and collaborate with product, design, creative, and performance teams to improve full-funnel growth outcomes.

As a Software Engineer, you'll develop end-to-end experiences for creative workflows, focus on user interface performance, and integrate AI models for enhancing video production. You're expected to own features and manage projects in a fast-paced environment, utilizing full-stack development skills.