Most teams underestimate the power of well-structured job descriptions. They're not just role requirement lists; they're the foundation for alignment across Talent Acquisition, Compensation, and HR. Join our upcoming workshop, featuring Datapeople Co-founder Amit Bhatia and Payscale Chief People Officer Lexi Clarke, to see how leading TA teams are using AI to transform job descriptions into a single source of truth that accelerates hiring, ensures pay transparency, and keeps every role market-aligned. Register here: https://lnkd.in/g2QbEgff
Datapeople
Human Resources Services
New York, NY 5,074 followers
Make your jobs into amazing ads
About us
Datapeople, now part of Payscale, is an AI-powered Talent Attraction and Productivity platform. With Datapeople, hiring teams can instantly generate inclusive, compliant, and high-performing job ads, based on insights from over 100 million jobs. Together with Payscale, we’re advancing pay and hiring transparency by helping organizations attract, hire, and retain talent more effectively.
- Website
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https://datapeople.io
External link for Datapeople
- Industry
- Human Resources Services
- Company size
- 11-50 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Recruiting, PeopleTech, Job Descriptions, Job Posts, Diversity, Applicant Tracking System, Salaries, Editor, Recruiting Analytics, Recruiting Operations, Talent Analytics, and Talent Acquisition Enablement
Locations
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Primary
99 Wall St
Suite 2080
New York, NY 10005, US
Employees at Datapeople
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Martin Warren
TA Leadership | Talent Strategy | Talent Sourcing | Tech Recruiting | Executive Recruiting | TA Enablement | AI First People Centric | HR Tech Stack…
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Catherine Dalton
Data Product Enthusiast | Product Manager - Recruiting Insights at Datapeople | M.S. Human Capital Analytics & Technology at NYU SPS
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Brendan Boyajian
Uber - Senior Manager, TA Technology
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Kristen Lubin
Program Manager, Recruiting Operations at Atlassian
Updates
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Following the exciting news of our acquisition by Payscale, we're still continuing on our mission to help organizations of all sizes increase their hiring efficiency and enforce their legal and brand compliance. Join our workshop next week, in which Amit Bhatia will share how to harness AI to bolster and scale your employer brand. Start reaping the benefits of an Employer Value Proposition built on market-proven insights, leveraging technology to minimize your lift and maximize your impact. Register here: https://lnkd.in/grnzcaXc
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Pay transparency laws are reshaping the link between talent acquisition and compensation, demanding coordination across teams that once worked in silos. That’s why Datapeople has been acquired by Payscale. Together, we’re ensuring every job posting is clear, compliant, and grounded in fair pay data—giving candidates the transparency they deserve and organizations the edge they need. Our shared vision is simple: hiring and compensation should be connected, compliant, and grounded in reality—from the first draft to the final offer. Fair pay starts with clear communication. Great hiring starts with shared understanding. As Amit Bhatia, Co-founder and CEO of Datapeople, explains: "We founded Datapeople a decade ago with the belief that candidates deserve a more human-centric hiring experience, and that starts with a clear understanding of what their role will be. Working with the Payscale leadership team, it’s clear that they share our outlook that talent strategies must be connected across HR teams and driven by improving efficiency and outcomes through better data, AI, and transparency." And with every posting and offer, our platform gets smarter—feeding insights back to improve outcomes over time. Read more: https://bit.ly/3K2ayhX
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Want to make an 𝙞𝙢𝙥𝙧𝙚𝙨𝙨𝙞𝙤𝙣 on job seekers? Choose a commonly understood title. This #FridayJobFlop is sure to catch some wandering eyes, but will they be the right ones? Remember, most candidates will find your job on a job board, where they are searching based on job titles. This title could cover any number of departments. What would you assume this role does?
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Data Analyst 2, Data Analyst (East Coast), Data Analyst vFINAL. Having 10 different versions of the same role means every time you hire for that role, you start anew and get a different quality job post. With Datapeople, you can pin the highest-performing version as a Flagship Job, creating a library of only your best content for your team to start from.
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In this week’s #DatapeopleReads: the collective weight we’re all carrying. 🔬 The economy and labor market have been under a microscope for many months now, and one alarming indicator recently reared its ugly head: for the first time since 2021, unemployed workers exceed job openings. Laura Bratton surfaces the data, on Yahoo Finance: https://lnkd.in/gujsXKzH 📊 What does this ratio of vacancies to unemployed individuals mean? Moody's Analytics "economist Mark Zandi has been closely watching what he describes as a ‘labor recession’ unfold, with revisions for June showing a contracting workforce for the first time since 2020.” Samuel O. elaborates on Business Insider: https://lnkd.in/g9UHfGUw 😰 So, it likely comes as no surprise that “abysmal August jobs report puts recession fears back on employers’ radar,” as Paige McGlauflin explains on HR Brew: https://lnkd.in/g4Jn2xcd 💡 If you’re fortunate enough to still be hiring in a slowing labor market, your job ads now matter more than ever. Well written job posts give you the best chance at building candidate pools better suited to your needs. Our recent workshop on transforming internal job descriptions into high-performance job ads can help: https://lnkd.in/g3NFJx6F
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Creativity makes your employer brand stand out. Consistency makes it 𝙨𝙩𝙞𝙘𝙠. Join us to learn how AI brings both to every job ad, instantly → https://lnkd.in/grnzcaXc
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As we embark on a new season, we are beginning a new series intended to lightheartedly point out job improvement opportunities. To begin our #FridayJobFlop series, we'd like to introduce you to the "Customer Happiness Success (AI & Data Privacy)." We all want happy customers, but who really applies to this role? Maybe someone in Customer Success who is also an AI and Data Privacy expert 🤔
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