Find your purpose.

Scientific career match based on what makes you unique. Create a free A.I. profile to match roles designed for you at companies that share your values.

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How it Works

Match careers, teams, companies, and jobs
based on your unique:

✓ Personality

✓ Cognition

✓ Empathy

✓ Interests

✓ Morals

✓ Drive

✓ Grit

✓ Values

–
Candidate signup

Create a free profile to find your next opportunity.

–
Employer signup

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Researcher signup

60
Personal traits for
your custom algorithm

1,019
Scientifically defined roles by U.S. Department of Labor

2,160
Fast-growing SaaS companies
hiring now

200K
Job openings
available for match

1. UNLOCK YOUR POTENTIAL

Explore Your Quantified Self Report

Dive deep into 60+ metrics from your personal profile to discover your unique workplace strengths and opportunities.

Get Personal AI-Driven Reports Tailored to Your Unique Self

2. AI-DRIVEN CAREER REPORTS

Your Future, Made Personal

Harness the power of AI to explore a suite of 14+ reports detailing your professional potential with career insights.

Find Your Perfect Job. Use Artificial Intelligence to match careers and companies.

3. THE FUTURE OF JOB MATCH

Discover Your Role in the Future of Work

Match 150+ cyber and tech roles with your unique AI match algorithm powered by Google Cloud Talent Solutions.

Our Research and Data Focus on Roles in the Future of Work:

Cyber security is among the fastest growing fields in technology, with all major companies globally needing cyber talent (and struggling with a talent and skills shortage). Common roles within cyber security include:

Security Engineer
Security Researcher
Security Architect
Threat/Warnings Analyst
SOC/NOC Analyst
CISO/Chief Information Security Officer

Security engineering is a broad technical domain. Skills and specializations manifest in different roles within security engineering (SecEng), including:

Information Security Engineer (InfoSec, CorpSec)
Application Security Engineer (AppSec)
Product Security Engineer (ProdSec)
Security DevOps Engineer (SecDevOps)
Network Security Engineer (NetSec)
Cloud Security Engineer
Blockchain Security Engineer

Data science is in demand, although most practitioners in the field have formal education and advanced degrees before entering workforce roles. Common roles within data science include:

Machine Learning Engineer (ML)
Artificial Intelligence Scientist (AI)
Anomaly Detection
Fraud Prevention
Business Analyst
Financial Analyst (quantified)

Data science is a vast concept that encompasses many roles with varying characteristics, although most favor an analytical, logical, and orderly cognitive thinking style. Designing, building, and deriving value from data pipelines require a range of characters:

Data Analyst
Data Engineer
Database Administrator
Data Scientist
Data Architect
Statistician

Software engineering is the most common role area in technology, and in many states and provinces, the single most common profession in census surveys. Common roles within software engineering include:

Front-end Developer
Back-end Developer
Full-stack Engineer
Web Developer, Computer Programmer
Python / Node.js / React.js / GoLang Developer
Systems Architect
Quality Assurance and Test Engineer (QA)

Software engineers must be proficient in one or more programming languages, with some becoming specialists with particular platforms and technologies (e.g., Microsoft, Oracle, or SAP), and others generalists (e.g., web developers). Role-defining programming languages include:

Python, Perl, PHP, CSS, HTML
JavaScript, Node.js, React.js, Vue.js
GoLang
C, C++, C#, Objective C
Java, Scala

Governance and effective leadership is more than just having direct reports. Ideally, people managers are promoted for more than technical competence and tenure, including traits like compassion, empathy, and industriousness. Governance roles include:

Project Manager
Program Manager
Portfolio Manager
Scrum Master
Project Coordinator
Team Leader / Squad Lead / Pod Lead

Human hierarchies typically result in multiple levels and ranks within organizations and departments. Typical progressions to senior management include:

Manager
Senior Manager
Director
Senior Director
Associate Vice President (AVP)
Vice President (VP)
Senior Vice President (SVP)
C-level (CEO, COO, CFO, CIO, CTO, CMO)

A.I. Research Insights:

WORKSHOPS

The Future of Team Building: Integrating AI and Psychometrics

WORKSHOPS

New Hire Orientation: Setting the Stage for Long-Term Success

WORKSHOPS

Unleashing Sales Potential: Tailored Workshops for Sales Teams

WORKSHOPS

Create Great Places to Work with Science and AI

HIRING TALENT

Worker Engagement: The 8.8 Trillion-Dollar Problem

KNOW YOURSELF

Remote Work as the New Normal: Leveraging Psychometrics for Success

Step into the Future of Work

The future of work isn't a distant dream. It's here, and it's waiting for you to seize it. See the science behind our matching process and how it connects you to roles that fit your unique self. This is your ticket to tomorrow. Claim your place in the future – just click 'Get Started' now.

Get Started

How it Works

The Future of Work

Smart employers will respond to peoples’ increased demands for more personal value and purpose from both life and work by offering a more human and purpose-driven employment deal—or  they will find themselves unable to compete for increasingly scarce talent.