Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Solutions Engineer collaborates with Account Executives to address customer challenges in data strategy, advocating for customer interests and crafting technical solutions while engaging with both technical and non-technical stakeholders.

The Enterprise Solutions Engineer collaborates with clients to solve data challenges by crafting innovative technical solutions and removing sales obstacles.

The role involves building scalable backend systems, optimizing data warehouse performance, facilitating analytics and real-time syncing, with a focus on product impact and customer engagement.

As a Backend-focused Full Stack Engineer at Hightouch, you will develop destination integrations, improve customer data movement, and communicate with cross-functional teams to deliver scalable solutions.

As a Customer Success Engineer, you'll facilitate customer engagement, answer technical queries, and work collaboratively across teams to enhance user experiences.

The web engineer will design and maintain the marketing website, integrating CMS, building animations, and ensuring a high standard of UX.

The Engineering Manager will lead the event collection and identity resolution services, focusing on scaling performance and solving complex distributed systems challenges while driving team excellence and architecture decisions.

As a Technical Architect, you'll bridge Hightouch and Fortune 5000 customers, ensuring effective onboarding, project management, and enhancing product adoption through technical guidance and collaboration across teams.

The Enterprise Solutions Engineer will work closely with customers to provide technical solutions, support sales efforts, and create compelling technical content, focusing on customer data strategy and architecture.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.