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Lead full-stack engineering for enterprise-grade HR platforms, ensuring compliance, data governance, and technical integration alongside design and system architecture responsibilities.

As a Senior Hardware Engineer, you will define processor architecture, implement microarchitecture in SystemC/SystemVerilog, and optimize PPA across design cycles.

Responsible for prospecting new opportunities, running full-cycle sales processes, managing customer relationships, and becoming an expert on the Revenue.io platform.

Drive commercial success by managing client relationships, focusing on upselling and renewals, and identifying new business opportunities while ensuring alignment with clients' strategic goals.

Lead HR function as strategic partner and operational leader, overseeing HR Business Partners, employee and labor relations (including union matters), people operations (benefits, payroll, HRIS, comp, recruiting, L&D), compliance, workforce planning, investigations, and development of HR processes to drive organizational effectiveness.

The Growth Product Lead will execute strategies to optimize subscription and loyalty programs, enhance customer engagement, and drive recurring revenue growth through data-driven initiatives and collaboration with cross-functional teams.

Provide on-site visitor support and enforcement of park policies, manage permits and permitted events, respond to emergencies, cultivate community relationships, track park-use data, assist field operations, and provide a security presence at events while educating visitors about Central Park history and rules.

Join a diverse and innovative team focused on improving the CAD industry. Submit a resume and ideal role for future opportunities.

The Enterprise Account Executive will focus on prospecting, consultative selling, building relationships with clients, and closing enterprise deals, while collaborating cross-functionally and traveling up to 50%.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.