Data Dictionary

Dictionary contains explanations and examples of all data fields available in the Wellfound Jobs dataset.

All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.

Data points by category

1. Metadata

2. Job posting details

3. Salary and perks

4. Similar jobs in other companies

5. Firmographics

6. Hiring contact

The data points in the example snippets have been rearranged for better grouping. To see where a specific data point stands, check the full data sample here.

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Metadata

Record metadata

Data point	Description	Data type
meta	Contains metadata about the record	Object
created_at_date	Date when the record was initially scraped	Array of numbers (integer)
created_at_timestamp	Unix timestamp for when the record was first scraped	Float
updated_at_date	Date when the record was last updated	Array of numbers (integer)
updated_at_timestamp	Unix timestamp for when the record was last updated	Float
version_id	Identifier for the dataset version	String
source	Source from which the record was obtained	String
object	Data object type	String
is_deleted	Indicates if the record is available on Wellfound	Boolean

See a snippet of the dataset for reference:

Meta fields

"_meta": {
	"created_at_date": [
		2024,
		3,
		1
	],
	"created_at_timestamp": 1709253971.656773,
	"updated_at_date": [
		2024,
		5,
		1
	],
	"updated_at_timestamp": 1714524882.944502,
	"version_id": "abdc1c00",
	"source": "angel",
	"object": "job",
	"is_deleted": false
},

Job posting metadata

Data point	Description	Data type
doc	Start of the dataset: contains the first set of information points about the job posting	Object
id	Record identifier in our database	String
source_id	Job posting identifier on Wellfound	String
slug	URL slug identifying job posting	String
public	Marks if the job posting is public	Boolean
live_start_at	Publish Unix timestamp	Integer
posting_date_info	Post date	String

See a snippet of the dataset for reference:

Meta information

"id": "angel_job_example-electronics_2505926",
"source_id": "example-electronics_2505926",
"slug": "hardware-design-engineer",
"public": true,
"live_start_at": 1614472368,
"posting_date_info": "Reposted: 1 month ago"

Job posting details

Title and description

Data point	Description	Data type
title	Job title	String
job_description	Job description Note: contains HTML tags	String

See a snippet of the dataset for reference:

title and description

"title": "Chief Product Officer",
"job_description": "<p>As the <strong>Chief Product Officer</strong> reporting to our Chief Executive Officer at 1stDibs, you will oversee our product development efforts and the user experience on our two-sided marketplace, building an exceptional experience to connect those seeking the most beautiful things on earth with highly coveted sellers and makers.   </p>\n\n<p><strong>What You Will Do</strong></p>\n\n<ul>\n<li>Develop a vision and create a product strategy to meet the unique needs of our buyers and sellers</li>\n<li>Create and lead a detailed product roadmap that aligns with business priorities considering scope of work, impact, time, effort, and cost.</li>\n<li>Run the product development cycle prioritizing research, ideation, and A/B testing.</li>\n<li>Build, mentor, and lead a team of product managers, designers, and researchers.</li>\n<li>Drive scalable processes and innovation around the product development cycle and collaborate across teams to understand requirements and develop execution plans </li>\n<li>Lead innovation efforts incubating new product directions as well as M&amp;A opportunities </li>\n<li>Adjudicate between competing company wide priorities and allocate resources</li>\n</ul>\n\n<p><strong>Who You Are</strong></p>\n\n<ul>\n<li>You have 15+ years of experience working in product leadership roles including e-commerce companies </li>\n<li>You have a proven track record of managing a team across a broad scope of innovation efforts, balancing deep functional expertise with enterprise thinking</li>\n<li>You have experience using data to make decisions and a data-driven method for decision-making using KPIs and metrics</li>\n<li>You have experience in leading deeply technical product plans and aligning business strategy and technology delivery </li>\n<li>You are experienced at interfacing with a board, investors, corporate stakeholders, and enterprise clients</li>\n<li>You use financial information to drive strong decision making and are someone who understands and can articulate  business financials that underpin a product\u2019s performance</li>\n<li>A person who can clearly and thoroughly articulate ideas and drive cohesion amongst the team</li>\n</ul>\n\n<p><strong>Nice to Haves:</strong></p>\n\n<ul>\n<li>A Leadership role at a public company </li>\n<li>You may have experience creating and executing a product strategy for a 2-sided marketplace</li>\n<li>You may have proven success building a product with an international footprint</li>\n</ul>\n\n<p><em>For NYC residents the base salary range is up to $300,000.  Our overall compensation package</em> <em>is made of several parts, base compensation being one of them. At 1stDibs we value and are proud of our culture, innovation, professional development and training workshops, trust and giving back to the community.  Equity, a comprehensive benefits package, and incentive (IF APPLICABLE)  are all are components of your total compensation package.</em> * Ultimately, in determining your pay, we&#39;ll consider your location, experience, and other job-related factors.*</p>\n",

Type and location

Data point	Description	Data type
job_type	Contract type	String
location	Hiring location	String

See a snippet of the dataset for reference:

Job posting details

"job_type": "full_time",
"location": [
        "San Francisco"
      ],

Remote work

Data point	Description	Data type
remote_policies	Remote policy list	Array of strings
accepted_remote_location_name	Locations approved for remote work Note: visible if remote = true	String
preferred_timezones	Preferred timezones	Array of strings
relocation	Relocation details	String

See a snippet of the dataset for reference:

Remote work

"remote_policies": [
      "In office",
      " - WFH flexibility"
    ],
"accepted_remote_location_name": [
                "Argentina",
                "Brazil",
                "Europe",
                "Mexico",
                "Russia",
                "Spain"
            ],
"preferred_timezones": [
    "Pacific Time"
  ],
"relocation": "Allowed",

Requirements

Data point	Description	Data type
skill	Skills required to apply to the position	Array of strings
required_experience	Required experience	String

See a snippet of the dataset for reference:

Required skills

"skill": [
                "C++",
                "Computer Graphics",
                "Computer Networking",
                "UE4"
            ],
"required_experience": "2 years of exp",

Visa sponsorship

Data point	Description	Data type
visa_sponsorship	Indicates that the startup offers visa sponsorship	boolean

See a snippet of the dataset for reference:

visa sponsorship

"visa_sponsorship": false,

Salary and perks

Salary

Data point	Description	Data type
estimated_salary	Estimated salary listed in the job posting	String
equity	Equity offered as part of the compensation for the role	String

See a snippet of the dataset for reference:

Estimated salary

"estimated_salary": "$170k \u2013 $225k",
"equity": "0.0% \u2013 1.0%"

Perks

Data point	Description	Data type
startup_perks	Perks offered as part of the compensation package	Array of strings

See a snippet of the dataset for reference:

Perks

"startup_perks": [
      "Company meals",
      "Wellness benefits"
    ]

Similar jobs in other companies

Data point	Description	Data type
similar_jobs	Contains information on similar jobs posted by other startups	Array of objects
logo_url	Logo URL	String
startup_name	Startup name	String
startup_slug	Startup profile URL slug	String
description_snippet	Short job description Note: contains control characters and/or HTML tags	String
slug	Job posting URL slug	String
title	Job posting title	String
equity	Equity provided as compensation for the role	String
estimated_salary	Estimated salary for the role	String

See a snippet of the dataset for reference:

Similar jobs - other startups

"similar_jobs": [
    {
        "logo_url": "https://photos.wellfound.com/startups/i/8481261-06aa96655d13ae6da644374db8b2efa0c7b8d-medium_jpg.jpg",
        "startup_name": "Example Company",
        "startup_slug": "example-company",
        "description_snippet": "Sales Execution SaaS for high-velocity and high-volume sales",
        "slug": "239029-software-engineering-manager",
        "title": "Software Engineering Manager",
        "equity": "No equity",
        "estimated_salary": "₹35L – ₹45L"
    }
 ],   

Firmographics

Data point	Description	Data type
company_id	Employer identifier	String
company_name	Startup name	String
image	Logo URL	String
website	Wellfound profile URL	String

See a snippet of the dataset for reference:

Main details

"company_id": "156938",
"company_name": "Example Company",
"image": "https://angel.co/startups/i/156938-740ad2a3e7d4c7fb3307514666555fe5bad01-thumb_jpg.jpg?buster=1589575678",
"website": "https://angel.co/company/example-company",

Hiring contact

Data point	Description	Data type
recruiting_contact	Hiring contact	Object
source_id	Contact identifier on Wellfound	String
first_name	Contact's first name	String
last_name	Contact's surname	String
url	Profile URL on Wellfound	String

See a snippet of the dataset for reference:

Hiring contact

"recruiting_contact": {
            "source_id": "1260030",
            "first_name": "John",
            "last_name": "Doe",
            "url": null
        },