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The Senior Product Manager will oversee the product lifecycle, lead customer discovery, drive product strategy, and partner with engineering to deliver effective solutions.

The AI / ML Solutions Engineer will implement and scale machine learning workloads using Ray, advise customers on ML architecture, and enable MLOps teams through technical guidance and support.

Drive new business and expand MSSP partnerships. Oversee partner recruitment, relationship building, and sales targets achievement. Collaborate internally and represent Securonix at industry events.

The Customer Support Specialist will manage customer inquiries across multiple channels, providing support on products, troubleshooting, and gathering feedback to enhance customer experience.

The Enterprise Publisher Development Manager will build relationships with enterprise publishers, onboard new accounts, and drive revenue growth through strategic sales initiatives.

The Senior Data Analyst will manage business analytics, perform statistical analysis, develop predictive models, and advocate for AI usage in analytics while ensuring data quality and collaboration with engineering teams.

The VP, Technical Accounting will oversee US GAAP compliance, provide strategic accounting guidance for HPC/AI transactions, and advise on financial reporting and disclosures.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

The Training & Development Manager will design and implement training programs to enhance performance and leadership skills, ensuring consistent service delivery. Responsibilities include creating training materials, conducting sessions, and evaluating effectiveness.

The Senior Accountant will manage financial records, oversee accounting functions, prepare reports, coordinate audits, and ensure compliance with financial regulations.