Jobs at TinyFish

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.

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, 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.

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.

Own the technical side of customer deals from discovery through close. Design solutions, build prototypes, scope and run proofs of concept, guide technical validation, and create deployment plans for AI-native and enterprise customers. Partner with account executives, engineering, security, and product teams while developing reusable discovery and POC assets. The role requires strong customer presence, hands-on use of AI tools and APIs, architectural thinking, and at least five years of client-facing technical experience.

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 marketing for an AI web infrastructure platform across product-led growth and enterprise sales motions. Own positioning, messaging, launches, PLG conversion, enterprise narratives, sales enablement, competitive intelligence, technical content, customer insights, and developer community efforts. Partner closely with product, engineering, marketing, sales, and founders to translate complex AI agent, browser, and API capabilities into clear messaging and measurable market impact.

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.