Data Dictionary

22min

dictionary contains explanations and examples of all data fields available in the wellfound (angellist) jobs dataset all personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes metadata https //docs coresignal com/source documentation/wellfound jobs data dictionary#kixx6 job posting details https //docs coresignal com/source documentation/wellfound jobs data dictionary#kodva salary and perks https //docs coresignal com/source documentation/wellfound jobs data dictionary# l9i4 similar jobs in other companies https //docs coresignal com/source documentation/wellfound jobs data dictionary#eestm firmographics https //docs coresignal com/source documentation/wellfound jobs data dictionary#niwjm hiring contact https //docs coresignal com/source documentation/wellfound jobs data dictionary#qufwy 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 https //docs coresignal com/source documentation/wellfound jobs data sample 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" "\as the \chief product officer\ 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 \\n\n\\what you will do\\\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\\who you are\\\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\\nice to haves \\\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\\for nyc residents the base salary range is up to $300,000 our overall compensation package\ \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 \ ultimately, in determining your pay, we\'ll consider your location, experience, and other job related factors \\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 },

Wellfound Jobs

Data Sample