The data fields in the example snippets have been rearranged for better grouping. To see where a specific data field stands, check the full data sample here.
Metadata
Record metadata
Data field
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:
Job posting metadata
Data field
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:
Job posting details
Title and description
Data field
Description
Data type
title
Job title
String
job_description
Job description
Note: contains HTML tags
String
See a snippet of the dataset for reference:
Type and location
Data field
Description
Data type
job_type
Contract type
String
location
Hiring location
String
See a snippet of the dataset for reference:
Remote work
Data field
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:
Requirements
Data field
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:
Visa sponsorship
Data field
Description
Data type
visa_sponsorship
Indicates that the startup offers visa sponsorship
boolean
See a snippet of the dataset for reference:
Salary and perks
Salary
Data field
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:
Perks
Data field
Description
Data type
startup_perks
Perks offered as part of the compensation package
Array of strings
See a snippet of the dataset for reference:
Similar jobs in other companies
Data field
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
"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&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'll consider your location, experience, and other job-related factors.*</p>\n",
