Own go-to-market strategy and commercial growth for a technical AI platform serving scientific and engineering users. Responsibilities include customer discovery, market segmentation, strategic partnerships, user acquisition, product positioning, adoption metrics, and expansion into new scientific domains. The role collaborates closely with founders, product leaders, scientists, and engineers to translate technical capabilities into commercial value and drive adoption across photonics, semiconductors, and broader deep-tech markets.

Own the reliability, deployment, and operational excellence of an AI platform. Lead CI/CD, multi-cloud and on-premise infrastructure, Terraform-based provisioning, Kubernetes operations, observability, security, compliance, automation, and incident response. Develop Python tooling and APIs, improve system resilience and scalability, manage disaster recovery, and establish reliability practices such as SLIs, SLOs, error budgets, postmortems, and runbooks. Collaborate with engineering and security teams while mentoring others on operational best practices.