Aura Intelligence
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About
Aura Intelligence is a SaaS platform for Workforce Insights, designed for consulting firms, private equity firms, hedge funds, and large enterprises. It provides comprehensive insights on workforce dynamics using data from public and proprietary sources, including public records, online profiles, job advertisements, and layoff notifications. Aura offers two pricing plans: Consumption (variable price based on project/report usage) and Subscription (fixed price per user). The platform delivers data via a self-serve platform and data feeds, enabling data-driven decisions on hiring, attrition, skills, diversity, and more.
Platform
Features
• sentiment analysis
• same day support
• 20m+ companies’ data
• geographic & remote work
• diversity & seniority
• skills, talent, & education
• hiring & attrition
FAQs
Where does Aura get the data?
We assimilate and normalize data from a range of public and proprietary sources to develop a complete picture of the workforce. This includes (i) public records; open datasets; and information made manifestly public. (ii) online professional profiles. (iii) job advertisements. (iv) notifications of staff reductions.
How many companies does Aura cover?
Our data covers more than 20 million companies, including public and private companies worldwide when taking into account subsidiaries and holding companies.
How often is the data updated?
Some data are updated daily and weekly (job postings, sentiment, hiring/exits). Other data are updated monthly.
How does Aura deliver the data?
Data is delivered via a self-serve platform with dynamic dashboards and a data feed via Snowflake share.
What type of clients does Aura work with?
Our customers include hedge funds, private equity firms, management consulting firms, financial services, HR organizations, and staffing firms.
In what cases does Aura’s workforce headcount differ from a company’s reported counts?
Aura’s headcounts may differ from reported counts in industries with limited online employee profiles (e.g., manufacturing, mining). Discrepancies are expected with high populations of part-time, multi-company, freelance, or gig workers.
How does Aura compensate for profiles not having online profiles?
Aura uses public data sources and doesn't estimate for missing profiles to avoid inaccurate estimations. Coverage is best in English-speaking regions, finance/tech industries, and white-collar roles.
How does Aura consider lags in reporting online profiles?
We don't explicitly consider lags in online profile reporting; this is a fundamental data limitation. Our data comes from exact counts of employee profiles cross-referenced from multiple sources. Improving data freshness and accuracy is a priority.
Pricing Plans
Consumption
USD1.23 / per usage• 20M+ companies’ data
• Hiring & attrition
• Skills, talent, & education
• Diversity & seniority
• Geographic & remote work
• Sentiment analysis
• Same day support
Subscription
USD1.23 / per user• 20M+ companies’ data
• Hiring & attrition
• Skills, talent, & education
• Diversity & seniority
• Geographic & remote work
• Sentiment analysis
• Same day support
Job Opportunities
Product Manager
Aura Intelligence provides comprehensive workforce insights using alternative data sources for consulting firms, PE firms, and enterprises.
Benefits:
Competitive compensation
Equity
Benefits
Education Requirements:
Advanced degree or exceptional Bachelor’s in a quantitative field (Computer Science, Mathematics, Statistics, or related)
Experience Requirements:
2+ years of product management experience
Hands-on experience with product design, UX/UI design
Experience serving quantitatively-minded or otherwise technical users
Other Requirements:
Solid grasp of data modeling concepts; knowledge of SQL and experience working with large datasets
Sound understanding of statistical analysis and its applications
Excellent analytical and problem-solving skills and ability to mentor and coach others
Outstanding communication skills, capable of explaining complex data concepts to both technical and non-technical audiences
Proven ability to work cross-functionally with engineering, design, customer success, sales, marketing, legal and operations
Responsibilities:
Drive product strategy and roadmap
Gather and prioritize product requirements
Collaborate with engineering and design teams
Analyze product performance metrics
Serve as the voice of the customer within the organization
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