Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

Lead mixed-methods UX and product research across Product, Design, and Growth. Plan and run qualitative and mixed-methods studies, coach designers, improve research ops, democratize insights, and embed research into product decision-making.

Identify and qualify healthcare provider prospects, build pipeline, execute full enterprise sales cycle, negotiate and close deals, collaborate with Sales Engineering and Customer Success, maintain Salesforce, deliver forecasts, and meet revenue targets (30-40% travel).

The Head of Talent Discovery & Intelligence Systems will design and enhance a data-driven fellow selection process, leveraging insights from scientific data to improve Activate's impact. Responsibilities include system design, strategic sourcing, translating data into insights, and innovating product offerings.

Lead product strategy for Docker's internal developer platform and AI dev tools. Define golden paths and self-service capabilities, align platform roadmap with business goals, shape AI agent and tooling direction, partner to productize internal capabilities for customers, and measure adoption and developer productivity. Influence cross-functional stakeholders and track outcomes like provisioning speed, reliability, and reduced toil.

The Senior Performance Designer will create performance-driven ads for paid media, collaborating with creative teams and guiding design iterations with a focus on conversion optimization.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

As a Hydro Site Planner, you will coordinate construction activities, develop schedules in Primavera P6, lead planning meetings, and analyze project progress for a major hydropower project.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

Serve as the technical bridge between Sales and Product/Engineering to evaluate HONK's platform, lead discovery and demos, design enterprise solutions, manage integrations and security reviews, support RFPs and documentation, and ensure smooth handoffs to onboarding and operations.