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Provide product and technical support for Blink, troubleshooting tickets from triage through resolution within SLAs. Act as a product expert, manage escalations, collaborate with Product and Engineering, improve documentation, and identify automation opportunities. Support both customers and internal colleagues, deliver enablement sessions, communicate clearly with nontechnical audiences, and develop scalable self-service solutions such as training videos, in-app help, and AI-powered workflows.

Build and maintain data pipelines integrating laboratory instruments, automation systems, operational platforms, APIs, robotics, databases, and files. Develop SQL transformations, data models, validation checks, orchestration, monitoring, and alerting to support analytics, dashboards, troubleshooting, and AI systems. Document infrastructure and datasets for regulatory compliance while collaborating with engineering, laboratory operations, data science, and automation teams. This is an on-site role with on-call and occasional weekend or holiday support.

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Monitor applications, platforms, servers, hardware, and network connectivity in a 24/7 NOC. Investigate alerts, troubleshoot system and network errors, identify root causes, triage incidents to appropriate teams, document issues in tickets, and resolve problems within NOC scope using terminal commands. The role requires on-site day-shift work on a rotating schedule and strong networking, Linux, monitoring, communication, and troubleshooting skills.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Design and manage CAD models, revisions, and bills of materials for physical products manufactured in-house. Develop prototypes, apply design-for-manufacturing expertise, and support the transition from rapid development to production. Collaborate with hardware, robotics, software, and field operations teams while improving engineering collaboration and CAD standards.

Support C-suite executives with comprehensive calendar, meeting, event, travel, visa, expense, and credit-card coordination. Manage logistics, agendas, communications, expense reconciliation, and confidential information while anticipating executive needs. Create efficient workflows using AI and automation tools, adapt to changing priorities, and provide backup support to other executive assistants.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

The Customer Success Manager will manage 25-40 accounts, focusing on onboarding, upselling, and ensuring customer satisfaction with a technical healthcare product.