ZipRecruiter

Log In

1

Sentiment Analysis Jobs (NOW HIRING)

Pendulum Intelligence, Inc.

Solutions Engineer

Our platform leverages advanced ML for logo, product, and facial recognition, OCR, sentiment analysis, and narrative detection across text, images, audio, and video. You'll explain these capabilities ...

Saxon Global

Data Scientist

Austin, TX

... Sentiment Analysis and OpenNLP - Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009 ...

Corsair

Senior PR Manager, Elgato

Milpitas, CA · On-site

Establish measurement framework: media coverage tracking, sentiment analysis, share of voice, AI search citation monitoring, and earned media value * Build and maintain global media database and ...

ProSidian Consulting

Program Manager

Alexandria, VA · Hybrid

Conduct workforce research, human capital surveys, and AI-driven sentiment analysis to enhance employee experience. RESPONSIBILITIES AND DUTIES - Program Manager | Workforce Planning & Strategic ...

Saxon Global

Data Scientist

Austin, TX · On-site

Required : • Min. 6 years' of work experience with Data Architecture, and Java Opensource • Min. of 3 years' of work experience with Sentiment Analysis and OpenNLP • Min. of 3 years' of work ...

Esolvit Inc

#1885 Data Scientist - Big Data

Austin, TX · On-site

Min. of 3 years' of work experience with Sentiment Analysis and OpenNLP * Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning Additional Information All ...

previous page

Showing results 41-60

All JobsBusiness JobsSentiment Analysis Jobs

Sentiment Analysis information

See salary details

$50K

$100.6K

$151K

How much do sentiment analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for sentiment analysis in the United States is $100,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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.

More about Sentiment Analysis jobs

What cities are hiring for Sentiment Analysis jobs?

Cities with the most Sentiment Analysis job openings:

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

The most popular types of Sentiment Analysis jobs are:

What states have the most Sentiment Analysis jobs?

States with the most job openings for Sentiment Analysis jobs include:

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

The top searched job categories for Sentiment Analysis jobs are:

Sentiment Analysis jobs near you
Infographic showing various Sentiment Analysis job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $100,600 per year, or $48.4 per hour.

Solutions Engineer

Pendulum Intelligence, Inc.

Remote

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

About Us
Pendulum offers unmatched social data coverage, ensuring companies never miss conversations they care about across video, audio, image, and text content - including YouTube, TikTok, Instagram, Snapchat, podcasts, Reddit, and more. Based on proprietary machine learning (ML) technology, the Pendulum Intelligence platform has the most comprehensive social media coverage to help enterprise brands proactively identify opportunities and mitigate risks, enabling better decision-making across the organization.
We are deeply inspired by our mission, motivated by solving hard technical problems, and obsessed with our customers. Fulfilling our mission demands bringing together a team with a broad range of backgrounds and experiences. Diverse teams are the strongest teams because their plurality of experience enriches and expands the solution space and enriches decision-making. Diversity and inclusion are therefore core to our values and at the forefront of our hiring philosophy and day-to-day operations.
The Role at a Glance
We are currently seeking a Solutions Engineer who can serve as the technical bridge between Pendulum's AI-powered platform and our enterprise clients' most critical challenges. As part of this team, you will work directly with Fortune 500 companies, financial institutions, and government organizations to design, demonstrate, and implement social intelligence solutions that address complex use cases in crisis management, brand protection, competitive intelligence, and threat detection.
What you'll do
  • Design and deliver solutions for high-stakes clients, including Fortune 500 companies, PR & Comms firms, and government agencies. These organizations depend on us to detect crises before they escalate, track narratives across platforms, and provide actionable intelligence under aggressive SLAs. You'll architect deployments that meet their unique requirements.
  • Translate AI capabilities into business value: Our platform leverages advanced ML for logo, product, and facial recognition, OCR, sentiment analysis, and narrative detection across text, images, audio, and video. You'll explain these capabilities to both technical and executive stakeholders, demonstrating how they solve real-world problems in crisis response and risk mitigation.
  • Build compelling proofs of concept and demos: Create customized demonstrations that showcase Smart Alerts, RiskWand monitoring, AI-generated reports, and custom dashboards. Configure solutions that illustrate how clients can track sentiment shifts,
  • Identify influencers, map narrative amplification, and respond to emerging threats across 26+ social platforms.
  • Partner across functions: Collaborate closely with sales teams to understand prospect requirements, work with product and engineering to translate client needs into technical specifications, and coordinate with Customer Success to ensure seamless client onboarding and ongoing support.
  • Shape the product roadmap: Provide critical feedback to product teams based on client requirements, competitive intelligence, and emerging use cases. Your insights from customer engagements will directly influence platform development priorities and feature design.

What you've done
  • Strong Solutions Engineering Experience: Demonstrated success in a solutions engineering, sales engineering, or technical consulting role, preferably in SaaS, AI/ML, analytics, or enterprise security platforms. You've navigated complex sales cycles and delivered technical wins with Fortune 500 clients.
  • Technical Fluency: Understand APIs, data pipelines, cloud infrastructure, and software integrations. You can discuss system architecture, data flows, and technical trade-offs credibly with engineering teams while translating these concepts into business outcomes for non-technical stakeholders. Can script with Python, PostgreSQL, or Athena on AWS. Preferred AI tools experience with Claude and Cursor. If not these, professional experience with other AI tools.
  • Enterprise Client Expertise: Experience working with large organizations, including regulated industries like financial services or government agencies. You understand how enterprises evaluate technology, navigate procurement processes, and manage cross-functional stakeholder alignment.
  • Communication and Presentation Excellence: Deliver compelling demos and technical workshops to audiences ranging from hands-on analysts to C-suite executives at Fortune 500 companies. You can adapt your message to your audience, whether explaining ML algorithms to data scientists or business impact to communications directors.
  • Domain Knowledge (Preferred): Familiarity with social media analytics, brand monitoring, crisis management, corporate communications, risk analysis, or intelligence operations. Background in AI/ML concepts, particularly NLP, computer vision, or sentiment analysis, is a significant plus.
  • Self-Directed and Adaptable: Thrive in ambiguous, fast-paced startup environments. You can manage multiple client engagements simultaneously, prioritize effectively, and solve problems independently while knowing when to pull in additional expertise.

What we offer
  • Grow as a professional by working with emerging technologies in a high-demand industry segment
  • Drive company direction at a company that encourages input from all levels to help shape our trajectory
  • Experience working at a technology company in which the mission focus is on tackling one of society's greatest challenges
  • Learn from industry and government experts who value initiative and encourage innovation
  • Enjoy the flexibility to work remotely, unlimited PTO, company (and two personal-choice) holidays
  • Receive excellent benefits, including 100% employer-paid employee health premiums (50% for dependents), 401(k), and FSA

Why Pendulum?
We are an insanely innovative startup transforming how brands understand consumers. As a remote-first company, we value results, autonomy, and the ability to turn social noise into actionable intelligence.
Compensation
The Solutions Engineer position offers a base salary range of $90,000 to $140,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Apply