Jobs at Krea

Build full-stack web and mobile APIs and interfaces using SvelteKit, TypeScript, and Node.js. Develop responsive real-time creative tools, optimize frontend performance, manage PostgreSQL and Redis services, and support image and video generation pipelines. Additional work includes public API development, WebSocket and HTTP/3 troubleshooting, observability, enterprise authentication features, and infrastructure scaling with Kubernetes and AWS EKS GPU clusters.

Own post-sale customer success, including onboarding, adoption, renewals, and account expansion. Help creative teams integrate Krea into daily workflows, communicate product updates, track customer usage, identify growth opportunities, and manage renewals. Partner with creative leads on webinars and workshops, relay customer feedback to product and marketing, and contribute to product adoption in an early-stage AI company.

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

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

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

The ML Engineer will architect and build personalization and recommendation systems, design user preference algorithms, collaborate with teams, and improve systems from research to production.

Find and close B2B deals with developer and product teams to integrate Krea's models via API or self-hosted/open-weight licensing. Own negotiations, bespoke licensing and enterprise terms, coordinate with product and engineering for custom requirements, and provide feedback to shape pricing, licensing, and product roadmaps.

Build and run backend systems spanning the SvelteKit app, Postgres/Redis/ClickHouse data stores, Python ML inference services, and Kubernetes clusters. Own design, monitoring, metrics, and incident response. Implement durable execution for long workflows, improve public APIs, and add enterprise features like ACLs and audit logs.

Lead enterprise onboarding and enablement for Krea: run demos, lead workshops, design production workflows, gather customer feedback, and relay product insights to improve the product.