Top Tech Jobs & Startup Jobs

Build pipeline by researching and prioritizing target accounts (studios, agencies, brands), running outbound email/LinkedIn/phone campaigns, crafting personalized outreach tied to creative workflows, and collaborating with sales to refine messaging and book meetings.

Run end-to-end technical recruiting for infra, backend, and AI roles: source candidates, evaluate technical work (repos/papers), manage screening, scheduling, offers, and improve candidate experience and job descriptions.

Build and own a 0-1 People Ops function: manage full employee lifecycle (onboarding/offboarding), payroll and global HR operations (Gusto, Deel), set up ATS and recruiting operations, improve hiring workflows, administer benefits and visa requests, maintain HR policy docs and accurate employee data across systems.

Lead full-cycle recruiting for GTM roles (sales, marketing, customer success, partnerships, revenue ops). Build pipelines via outreach, communities, events and referrals; manage screening, scheduling, offers, and closing; partner with founders and hiring managers on role definitions; track market/talent landscape and write job descriptions to shape candidate experience.

The role involves training and developing large-scale image and video models, optimizing data pipelines, and conducting experiments in a high-performance computing environment.

As a Backend Engineer, you will design and maintain APIs and databases, improve system performance, and implement new features for web and mobile applications.

The Account Executive will build enterprise relationships, manage the sales cycle, tailor demos, and drive deals while supporting creative workflows and detail management.

The Customer Success Manager will onboard and support customers using AI creative tools, ensuring successful integration and adoption of Krea's products.

The Growth Marketer will optimize landing pages, lead the SEO strategy, build lifecycle campaigns, and create educational content to drive user growth.

The role involves designing and managing distributed systems infrastructure for AI workloads, optimizing data pipelines, and collaborating on machine learning projects.