SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Mimica is an AI-powered process intelligence platform that helps enterprises automate repetitive work and reclaim productivity. The company has raised $26M in Series B funding and is backed by Khosla Ventures and Paladin Capital, serving Fortune 500 companies. The team is remote-first and globally distributed across 16+ countries.
As Head of Platform, you will lead Mimica's infrastructure strategy and own the backbone systems that enable all engineering teams to move faster. You'll manage a lean but highly capable Platform team (currently 4 engineers, growing to 6 by year-end and 10+ in 2027), with potential to grow into a manager-of-managers role. The scope is substantial: expanding to multi-region and physically separated database environments, supporting enterprise-installable infrastructure, and owning FinOps across the organization.
Key responsibilities include:
- Own Mimica's infrastructure strategy, cloud architecture decisions, deployment models, and platform standards
- Lead and grow the Platform team: manage existing engineers, plan headcount, set goals and metrics, and design sub-team structure (Cloud & Developer Platform, Reliability & SRE, AI Infrastructure)
- Own all AI infrastructure including training/serving infrastructure, MLOps tooling, Vertex, and model access
- Maintain developer experience culture while ensuring compliance; create deployment paved roads
- Own infrastructure and LLM budgets, forecast unit economics, and manage GCP relationships
- Own reliability across engineering: SLOs, on-call model, incident process, postmortems, DR testing, capacity planning
- Own CI/CD, developer platform, infrastructure-as-code (Terraform, ArgoCD, Crossplane), and observability standards (Honeycomb, Grafana, Loki)
- Partner with Platform PM to define client needs and build the platform roadmap
- Act as named technical owner for infrastructure in enterprise deals and security reviews
- Guide craft mentors for infrastructure, MLOps, and Python engineering; set engineering-wide standards
- Report monthly platform health and costs to leadership; lead infrastructure due diligence
You'll work across Product, ML, Security, Sales, and Customer Success teams. One day you're defining deployment options for enterprise customers; the next you're in a security review or architecting AI infrastructure decisions.
REQUIREMENTS:
- Proven experience leading engineers, ideally including managing team leads or other managers, and growing teams through hiring and sub-team design
- Solid hands-on experience with Kubernetes (GKE preferred, but EKS, OnPrem, or other managed services acceptable) across multiple regions
- Proven experience with infrastructure-as-code (Terraform preferred) and GitOps tools (ArgoCD or comparable)
- Track record owning reliability: setting SLOs/SLAs, running on-call, leading incident response and postmortems, testing disaster recovery
- Observability experience with at least one major platform (Honeycomb, Datadog, Grafana, or New Relic)
- Comfortable with code; able to review architecture and prototypes hands-on
- Experience owning infrastructure budgets, including cloud cost attribution, forecasting, and cloud-provider relationships
- Experience designing deployment models for enterprise customers (single tenant, regional, data residency) and supporting security reviews and contracted SLAs
- Background in startups or scale-ups: comfortable with ambiguity, moving fast, wearing multiple hats
- Strong communication and collaboration skills; able to translate infrastructure complexity for engineers, executives, and clients; know when to say no to bespoke requests
BONUS/NICE TO HAVE:
- Familiarity with Crossplane or Config Connector
- Experience with Temporal for workflow orchestration
- Security and compliance experience, particularly SOC 2
- Experience supporting funding rounds, including technical due diligence
