Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Head of Go To Market will own the GTM strategy, scale pilot programs, validate customer insights, and lead partnerships to drive growth in a cybersecurity startup.

Lead Backend Engineer responsible for high-profile projects using backend technologies, team leadership, and deployment of scalable applications. Requires 10+ years of experience in software development, particularly with C# and .NET and cloud services.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

The Senior Sales Executive will drive client acquisition, manage relationships, close high-value consulting deals, and align client needs with service delivery, focusing on Fortune 500 companies.

This role involves managing full-cycle executive searches for Senior Sales Executives in the US, focusing on relationship-building and personalized outreach to candidates. The recruiter will be responsible for assessment, candidate experience, and tracking search progress while aligning with Janea's high standards and premium brand.

The Client Engine Software Engineer will design and implement complex client-side engines using advanced algorithms, focusing on high-performance and fault-tolerance in a remote team environment.

The Principal Backend/Platform Engineer is responsible for designing and owning the cloud platform architecture, developing real-time detection systems, ensuring data privacy, and overseeing platform infrastructure in the realm of cybersecurity.

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

The Account Executive will manage the full sales cycle for Memurai opportunities, focusing on B2B SaaS sales, and will collaborate with marketing and partners to drive customer engagement and renewals.

As a Senior AI Solution Architect, you will design scalable architectures for AI systems, lead engineering teams, and ensure the reliability and efficiency of machine learning applications.