Top Natural Language Processing Jobs in Los Angeles, CA

The Senior Category Manager will oversee revenue growth and vendor relationships for the Snack category, focusing on product assortment, pricing, and performance analysis while collaborating with cross-functional teams.

Lead multiple oncology product teams through clinical development phases, ensuring integration of end-to-end product strategy, risk mitigation, and delivery of milestones while collaborating with internal and external stakeholders.

As an AI Vision Solution Architect, you'll design AI-powered solutions, collaborate with teams, manage projects, and cultivate customer relationships to enhance product evolution.

Lead the revenue accounting function, oversee month-end close, manage billings and collections, and partner cross-functionally to streamline operations.

As a Senior Growth Product Manager, you will drive scalable growth strategies, lead cross-functional experiments, and optimize conversion funnels to enhance customer acquisition and retention.

Lead end-to-end finance operations for a growth-stage SaaS company, overseeing accounting, FP&A, revenue recognition, cash and liquidity planning, compliance, and auditing. Partner with CEO and cross-functional leaders on strategy, pricing, HR/PeopleOps and RevOps, build financial models, KPIs, and dashboards, and scale finance processes and team members to support rapid growth.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

Lead the US Sales Team, driving new business across North America by managing complex sales cycles, coaching team members, and collaborating cross-functionally.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

The Talent Sourcer will develop sourcing strategies, build candidate pipelines, identify candidates, conduct qualification calls, and provide recommendations for hires.