Top Tech Jobs & Startup Jobs

As a Prompt Engineer, you'll shape how AI characters express themselves, collaborating with various teams to develop prompts, datasets, and evaluation frameworks. You'll manage both immediate product needs and long-term goals, ensuring bots engage users effectively through storytelling and interaction.

The Product Director will lead the video product strategy and execution, collaborating with teams to enhance creators' video content creation and sharing experience.

Lead iOS application development, create innovative features, collaborate with cross-functional teams, and ensure high-quality standards in a supportive environment.

The Creator Partner Manager builds and maintains relationships with signed creators, helping them succeed through content ideation, bot development, and performance tracking.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

As a Product Manager at Cantina, you will oversee the web product's roadmap, collaborate with global teams, and define user workflows for video editing.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

Lead a company-wide brand refresh and own brand messaging, guidelines, and advertising. Manage in-house creative and external agencies, produce commercials and campaigns, align brand across product, social, and comms, and build scalable brand infrastructure.

Lead creative strategy and scaled production for paid performance campaigns across Meta, TikTok, YouTube and mobile ad networks. Develop concept-driven, high-volume creative pipelines using traditional and AI-generated production, own performance analytics and testing frameworks, manage agencies and cross-functional teams, and establish QC processes to iterate on creatives that lower CPIs and drive user acquisition and engagement.

Build and productionize large-scale TTS and adjacent speech models end-to-end: model architecture, training, alignment, evaluation, data curation, distributed GPU scaling, latency/cost profiling, tooling, and safety/mitigation for speech systems.