Jobs at Mimica

Lead the end-to-end development of Mimica Maker, an AI-powered enterprise automation product. Own product vision, roadmap, discovery, requirements, research, prioritization, and go-to-market strategy while partnering with executives, engineering, design, customers, and external stakeholders. Apply AI/ML to workflow automation, understand deterministic and agentic automation use cases, and drive product improvements in an ambiguous, fast-paced scale-up environment.

Own and improve production machine learning pipelines focused on accuracy, efficiency, and trustworthiness. Build LLM evaluations, judges, datasets, metrics, and benchmarks; run experiments across prompts, models, and pipeline designs; and reduce LLM costs through smaller task-specific models. Expand anonymization capabilities, evaluate open-source models, and collaborate with quality engineers to ship reliable ML features. Document findings and communicate technical trade-offs clearly.

Lead Mimica’s Platform team and own infrastructure strategy, AI infrastructure, cloud architecture, reliability, CI/CD, developer experience, observability, FinOps, and enterprise deployment models. Manage and grow platform and SRE engineers, establish reliability standards, oversee Kubernetes and infrastructure-as-code, support security reviews and enterprise sales, and collaborate with Product, ML, Security, Sales, and Customer Success.

Design, build, and scale Node.js backend services for a MERN-based, real-time platform. Improve performance, reliability, and fault tolerance; design APIs and database schemas; collaborate on architecture, code reviews, and operational ownership. Mentor peers, contribute to hiring, and drive engineering standards.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.