Top Senior Level Jobs

Design, build, and deploy production-grade ML models and scalable pipelines (training, inference, monitoring) using NLP/LLM, classification, recommendation, and prediction techniques. Collaborate with product and engineering, optimize latency and costs, and implement retraining and observability for healthcare workflow automation.

Lead and unify multi-disciplinary marketing (performance, paid media, AdOps, email, creative, brand, events, social, podcast) to drive lead generation, pipeline, revenue, retention, and measurable commercial outcomes. Build processes, KPIs, dashboards, hire and coach teams, align marketing with sales, and apply AI/automation to improve execution and efficiency.

Lead and operate RevOps: own GTM tech stack (Salesforce), forecasting, pipeline analytics, territory and comp design, data hygiene, cross-functional processes, and scale RevOps infrastructure to drive predictable revenue.

Partner with executives to drive strategic initiatives, build scalable processes, define metrics and dashboards, solve ambiguous problems, and lead cross-functional operational planning to support rapid growth.

Lead sales analysis, procurement oversight, pricing strategy, quotation generation, and program launches. Monitor financial KPIs, resolve cross-functional issues, train sales staff, and ensure compliance for customers and suppliers.

The Senior Mechanical Engineer will design and develop robotic mechanisms, electric motor actuators, and manufacturing systems while prototyping and troubleshooting mechanical systems.

Own end-to-end engineering for a product domain, drive large latency improvements, build observability and model-selection systems, lead execution rituals, translate product goals into deliverables, operationalize continuous quality evaluation, and enforce engineering best practices to ensure reliability and scalability.

The Senior Director, IT Project Management oversees project planning, execution, and quality management, leading a team to ensure IT projects align with organizational goals and standards.

Build and scale backend systems and user-facing features for an AI-first platform. Ship LLM-enabled production features, ensure reliability and test coverage, troubleshoot incidents, collaborate with product and frontend teams, and iteratively improve nondeterministic components using experimental methods.

Lead end-to-end product design for provider-facing workflows, partnering with product, engineering, research, and business stakeholders. Translate complex marketplace and operational requirements into intuitive provider tools, raise design system quality, mentor other designers, and experiment with AI-assisted workflows to accelerate prototyping and decision-making while maintaining trust, accessibility, and product outcomes.