PureSpectrum

HQ
Westlake Village, California, USA
Total Offices: 7
230 Total Employees
60 Product + Tech Employees
Year Founded: 2016

Articles about PureSpectrum

Featured Articles

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Gordon Gottsegen Gordon Gottsegen
Published on January 06, 2025

21 Data Science Companies You Should Know

These data science companies are helping businesses glean insights from massive amounts of data faster than ever before.

Margo Steines Margo Steines
Updated on February 13, 2025

54 Companies That Prioritize Corporate Social Responsibility

These companies are proactively working to make a positive impact on society.

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Margo Steines Margo Steines
Updated on January 29, 2025

21 Top Tech Companies in Hyderabad

Hyderabad has become central to India’s evolution as a tech powerhouse.

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All Articles

Taylor Rose Taylor Rose
Updated on November 15, 2024

Why These 10 Customer Success Managers Joined Their Teams  —  And Why They Stay

Inside 10 customer success teams at U.S. tech companies, and the philosophies that guide each one. 

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Mia Goulart Mia Goulart
Updated on July 25, 2024

Built In’s 30 Companies of the Month

The nation is ever changing, just like its tech scene.

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Author Unknown
Updated on March 29, 2024

How Sales Professionals at 5 LA Companies Achieve Day-to-Day and Long-Term Success

Inside the daily grind and sales triumphs — from client calls to career milestones in LA’s tech scene

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Author Unknown
Updated on September 18, 2023

Exploring a Path in Tech? How 5 Women Led With Curiosity and Discovered Their Passion

Women from 5 LA-based companies share their stories and advice for pursuing a career in tech.

Silhouette of a woman looking up and to the side, in thought, overlaid with an illustration of technology “in” her head.
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Author Unknown
Updated on June 07, 2023

3 Seasoned Sales Pros Share Tips for Handling Rejection

Rejection is painful. These three Los Angeles sales leaders have advice on how to handle and grow from it.

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Author Unknown
Updated on February 27, 2023

Now Hiring: How These LA Companies Are Attracting Top Talent in 2023

People leaders shared the values, benefits and culture that make their companies great places to work.

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Rose Velazquez Rose Velazquez
Updated on February 19, 2025

80 US Companies With UK Offices

These U.S. companies boast a global reach that includes offices in the U.K.

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Margo Steines Margo Steines
Updated on February 13, 2025

54 Companies That Prioritize Corporate Social Responsibility

These companies are proactively working to make a positive impact on society.

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Margo Steines Margo Steines
Updated on February 12, 2025

41 Companies Hiring Data Analysts

Companies across a wide range of industries are looking for data analysts with the right mix of technical and interpersonal skills.

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Margo Steines Margo Steines
Updated on January 29, 2025

21 Top Tech Companies in Hyderabad

Hyderabad has become central to India’s evolution as a tech powerhouse.

Photo: Shutterstock

Recently posted jobs

2 Days Ago
Hybrid
Singapore, SGP
Big Data • Marketing Tech • Sales • Software • Analytics • Big Data Analytics
The Junior Project Manager will manage customer projects on the Client Services team, ensuring delivery standards are met or exceeded while fostering a customer-first mindset. Responsibilities include overseeing project governance, maintaining project metrics, and collaborating with sales to improve service quality.
3 Days Ago
Hybrid
Westlake Village, CA, USA
Big Data • Marketing Tech • Sales • Software • Analytics • Big Data Analytics
This internship offers hands-on experience in Market Research with a focus on client services, account management, and project tasks. Interns will manage customer projects, generate reports, and support technology platforms while developing their understanding of market research and consumer insights.
6 Days Ago
Hybrid
Hyderabad, Telangana, IND
Big Data • Marketing Tech • Sales • Software • Analytics • Big Data Analytics
The Data Analyst will conduct product analyses, reporting, and insights within a fast-paced analytics environment. Responsibilities include formulating hypotheses, developing predictive models, cleaning and transforming data, collaborating with engineering for data pipelines, and communicating findings to various stakeholders.