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Sentiment Analysis Jobs in California (NOW HIRING)

3B Staffing LLC

CCAI Engineer

Pleasanton, CA · On-site

Experience in supporting user centric conversation experiences involving chat, text, or voice strong understanding of sentiment analysis, Intent classification, dialog flows, personality insight ...

3B Staffing LLC

CCAI Engineer

Pleasanton, CA · On-site

Experience in supporting user centric conversation experiences involving chat, text, or voice strong understanding of sentiment analysis, Intent classification, dialog flows, personality insight ...

EvenUp Inc

Product Analyst, Research

San Francisco, CA · On-site

$156K - $256K/yr

Design and execute lightweight research - surveys, 1:1 interviews, focus groups, sentiment analysis/benchmarking - pairing the quantitative "what" with the qualitative "why." * Build self-serve ...

Lorven Technologies

Sr. Business Analyst

San Jose, CA · On-site

$107K - $138K/yr

Define, document, and implement scalable Customer Success business processes such as customer health scoring, playbooks, lifecycle automation, and sentiment analysis. * AI Enablement: Lead adoption ...

Lorven Technologies

Software Developer

San Jose, CA · On-site

Collaborate with architects and product managers to prototype and deploy AI-driven features such as sentiment analysis, escalation triggers, and predictive insights. * System Reliability: Ensure ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

$116K - $198K/yr

Use advanced topic modeling, sentiment analysis, and NLP techniques to convert open text survey feedback into structured insights that reveal employee sentiment, emerging issues, and experience ...

Sandisk

Sr. People Data Scientist

Milpitas, CA

Use advanced topic modeling, sentiment analysis, and NLP techniques to convert open text survey feedback into structured insights that reveal employee sentiment, emerging issues, and experience ...

Pyramid Consulting, Inc.

Community Manager

San Diego, CA · On-site

$60 - $63/hr

Experience with social listening, sentiment analysis, audience insights, and trend monitoring. Our client is a leading IT Industry and we are currently interviewing to fill this and other similar ...

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Sentiment Analysis information

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What are the most commonly searched types of Sentiment Analysis jobs in California?

The most popular types of Sentiment Analysis jobs in California are:

What are popular job titles related to Sentiment Analysis jobs in California?

For Sentiment Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Sentiment Analysis jobs in California look for?

The top searched job categories for Sentiment Analysis jobs in California are:

What cities in California are hiring for Sentiment Analysis jobs?

Cities in California with the most Sentiment Analysis job openings:

Sentiment Analysis jobs near you
Infographic showing various Sentiment Analysis job openings in California as of August 2026, with employment types broken down into 50% Full Time, 10% Part Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution.

CCAI Engineer

3B Staffing LLC

Pleasanton, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

CCAI Engineer

CTH

Pleasanton, CA Must be onsite 3 days a week

Duties/Day to Day Overview

  • Responsible for administration and support of Google CCAI Platforms
  • Performs monthly Move, Adds and Changes.
  • Monitor critical systems on daily basis.
  • Performs Google CCAI Natural Language Processing (NLP) tuning with the team
  • Collaborates with Technical Account Managers, Project Managers & Engineering manager on daily basis and resolve Production issues as quick as possible.
  • Support testing effort

Top Requirements

(Must haves)

  • 5+ years of experience in Customer Service Technology
  • 1+ years of experience supporting Google CCAI
  • Good knowledge of GCP CCAI service
  • 1+ year experience in Agent Assist, Call Routing, Chat integrations etc
  • Experience supporting conversational bots for various channels (web, voice, WhatsApp, Facebook Messenger, SMS, etc.)
  • Experience in supporting user centric conversation experiences involving chat, text, or voice strong understanding of sentiment analysis, Intent classification, dialog flows, personality insight, Text to Speech, Speech to Text
  • Sound knowledge of GCP cloud platform.

Screening questions:

1. Google CCAI & Conversational AI Expertise

Can you walk us through your experience working with Google CCAI? Specifically, how have you implemented or supported Agent Assist, Call Routing, and Chat integrations in a production environment?
What to look for:

  • Hands-on experience with Google CCAI components.
  • Understanding of Agent Assist, routing logic, and multi-channel integrations.
  • Ability to troubleshoot and optimize conversational AI solutions.

2. Multi-Channel Conversational Bot Support

Have you worked on deploying or maintaining conversational bots across different channels (e.g., web, voice, WhatsApp, Facebook Messenger, SMS)? Can you share a challenge you faced and how you resolved it?
What to look for:

  • Experience integrating AI bots across multiple platforms.
  • Understanding of API-based integrations and omnichannel support.
  • Problem-solving skills and troubleshooting capabilities.

3. NLP, AI Models & Google Cloud Knowledge

How do you optimize NLP models in Google CCAI for intent classification, sentiment analysis, and dialog flow design? Can you describe your approach to improving speech-to-text and text-to-speech accuracy?
What to look for:

  • Strong NLP knowledge with Google CCAI.
  • Experience fine-tuning models for improved accuracy.
  • Familiarity with Google Cloud services related to AI/ML.

Job Description:

The CCAI Engineer will be responsible for the administration, support, and optimization of Google CCAI platforms. This role involves managing system configurations, monitoring performance, and collaborating with cross-functional teams to ensure seamless customer service technology operations.

Key Responsibilities:

  • Administer and support Google CCAI platforms, ensuring system stability and performance.
  • Perform routine Move, Add, and Change (MAC) operations.
  • Continuously monitor critical systems to detect and resolve issues proactively.
  • Optimize Google CCAI Natural Language Processing (NLP) by tuning and refining models.
  • Work closely with Technical Account Managers, Project Managers, and Engineering teams to troubleshoot and resolve production issues efficiently.
  • Support testing efforts for new features, configurations, and updates.

Required Skills & Experience:

  • 5+ years of experience in customer service technology solutions.
  • 1+ years of hands-on experience supporting Google CCAI.
  • Strong understanding of Google Cloud Platform (GCP) CCAI services.
  • Experience with Agent Assist, Call Routing, Chat integrations, and customer service automation.
  • Proven expertise in supporting conversational bots across multiple channels (web, voice, WhatsApp, Facebook Messenger, SMS, etc.).
  • Experience in supporting user centric conversation experiences involving chat, text, or voice strong understanding of sentiment analysis, Intent classification, dialog flows, personality insight, Text to Speech (TTS), Speech to Text (STT)
  • Sound knowledge of GCP cloud platform

Apply