Protagonist

HQ
San Francisco
25 Total Employees
Year Founded: 2004

Protagonist Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Recently posted jobs

20 Hours AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Build and operate production machine learning systems focused on multilingual NLP, including entity linking, classification, event extraction, deduplication, and narrative analysis. Develop GPU-accelerated workflows, fine-tune transformer models, and create LLM features such as RAG pipelines and agents on AWS Bedrock. Establish evaluation frameworks, integrate ML services into Django and event-driven platforms, lead technical architecture discussions, and mentor team members.
13 Days AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Lead and execute computational social science and data science work: design ML/NLP models and LLM workflows, clean and visualize text-as-data, build reproducible analytical products, shape product development, present findings to clients, and mentor junior analysts.
15 Days AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Apply computational and social-science methods to large text corpora: build classification and clustering models, design LLM/agentic workflows, clean and transform data, create dashboards and visualizations, translate findings into actionable recommendations, and collaborate with product and client teams to improve the Narrative Analytics® platform.