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.

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.


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
        },

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