Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead the global strategy and execution of Workiva's solutions for Financial Services, focusing on growth, regulatory compliance, and customer engagement across Banking, Insurance, and Asset Management sectors.

The Lead HRIS Analyst is responsible for the design, implementation, and optimization of the Workday HCM system, leading HRIS initiatives and ensuring compliance with security requirements.

The CPX Operations Intern will assist in communication development, data collection, process improvement, and support operational tasks while gaining various business skills.

The Demo Consultant facilitates pre-sales through product demonstrations, collaborates with teams to enhance demo assets, ensures alignment with business priorities, and addresses demo-related inquiries.

The VP of UX leads a large global design team, aligns UX with company strategy, enhances team operations, and promotes user-centered design. Responsibilities include coaching leaders, establishing guidelines, and collaborating with stakeholders to ensure a cohesive user experience.

As a Senior Software Engineer, you will develop backend services in Java for search functionalities, integrate AI technologies, and mentor team members.

This role focuses on generating new business and expanding customer relations within the Governance, Risk, and Compliance solutions at Workiva. Candidates must demonstrate sales strategies, handle objections, and effectively communicate value to executive-level clients while also forecasting sales activities and maintaining internal resources for account support.

Lead the design and expansion of growth solutions, develop go-to-market strategies, collaborate cross-functionally, and drive product marketing efforts for increased market awareness and revenue.

The Director of Partner Sales will lead the GTM strategy, establish partnerships, optimize relationships, and drive growth within the Financial Services vertical.

The Principal Machine Learning Engineer at Workiva leads ML initiatives, architects scalable systems, mentors teams, and drives the adoption of ML methodologies, while ensuring production readiness and sustainability.