Jobs at TinyFish

Own and improve TinyFish’s vulnerability-management program across AWS infrastructure, applications, containers, CI/CD, and production services. Implement security controls, automate security testing and compliance checks, conduct threat modeling, coordinate penetration tests, and drive findings through verified remediation. Support incident response, security logging, detection engineering, SOC 2 and ISO 27001 initiatives, and security reporting while partnering with engineering and leadership.

Owns vulnerability management across cloud infrastructure, applications, dependencies, containers, CI/CD, and production services. Implements AWS and software-development security controls, drives high-severity findings through verified remediation, conducts threat modeling, supports incident response, and coordinates penetration tests. The role also translates compliance requirements into automated controls, supports SOC 2 and ISO 27001 initiatives, improves detection and logging, and reports on security posture and remediation performance.

Design and operate AWS cloud infrastructure, improve CI/CD and deployment workflows, build internal platform capabilities, strengthen observability, automate infrastructure, and reduce developer friction. Partner with product teams, participate in incident response and postmortems, maintain Terraform infrastructure as code, support security and compliance controls, and establish scalable operational standards.

Own TinyFish's commercial growth in Japan by sourcing, developing, and closing net-new enterprise accounts focused on AI infrastructure. Manage complex, multi-stakeholder deals, build business cases and negotiate contracts, and recruit/enable reseller and SI partners. Maintain accurate pipeline, forecast precisely, and align local market needs with global GTM.

Own net-new enterprise sales to AI-native companies and large enterprises. Run complex multi-stakeholder deals end-to-end: build champions, construct business cases, negotiate multi-year contracts, manage procurement, partner with product/engineering, maintain pipeline and CRM, forecast accurately, and travel periodically for accounts and events.

Build and maintain reproducible data pipelines, experiment orchestration, CI/CD for models, Terraform-based ML infrastructure, observability, security controls, and automation to deploy and operate ML systems in production.

Lead Product Designer to define AI-native product experiences and 0→1 architectures. Design LLM-centered interaction paradigms, probabilistic UIs, and systems handling hallucination and uncertainty. Partner with product and ML engineering to influence models, create evaluation frameworks, and mentor designers to build scalable design systems and cross-functional processes.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.