Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves designing and building a scalable data platform and attractive user interfaces, collaborating closely with customers and peers.

The Account Executive is responsible for B2B sales targeting mid-market and enterprise clients, managing the sales cycle from prospecting to closing deals, and collaborating with operations for successful client launches.

The Client Relationship Director at CLA will expand client relationships, drive business development, and manage ongoing engagements to meet client needs.

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

The Pre Suit Attorney handles pre-litigation cases, manages client relations, oversees settlement negotiations, and leads a team of Case Managers focusing on personal injury and premises liability.

Oversee studio functionality, manage staff, drive revenue streams, facilitate membership sales, and ensure high customer service in a dynamic environment.

As a Mortgage Specialist, you will perform high-volume data entry and manage mortgage documentation in compliance with regulations while collaborating with teams to resolve discrepancies.

The Senior Product Marketing Manager will develop technical narratives and GTM strategies for the InSight DXP platform, driving platform adoption and market leadership.

Responsible for negotiating and drafting contracts for U.S. federal and state customers, ensuring compliance with government regulations, and providing strategic legal counsel on public sector engagements.

Lead architecture and delivery of high-throughput transactional services and agentic AI workflows. Build production Python and Go microservices on AWS, design observability and CI/CD, resolve distributed-system performance issues, run technical reviews and ADRs, mentor engineers, and contribute to on-call and incident response.

The AI Program Manager will guide AI tool integration across marketing and sales, ensuring effective workflows and metrics tracking for AI adoption.

Develop and implement travel demand and forecasting models using traditional and big-data methods, analyze multimodal systems, translate results for clients, support project teams, and apply statistical and programming tools for transportation planning studies.