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Foursquare Tech Stack

Location intelligence platform for marketers, developers, and data teams

Software Development New York, NY 501–1,000 employees Founded 2009 Privately Held

Foursquare operates a geospatial data platform built on Databricks, PySpark, and PostgreSQL, serving three distinct buyer personas: marketers (via Attribution and Audience products), developers (via APIs and SDKs), and analysts (via Studio and a 100M+ points-of-interest dataset). Hiring velocity is decelerating with only 3 roles posted in the last 30 days, but the active project backlog reveals internal friction: client reporting gaps, measurement setup challenges, and data integrity issues in campaign reporting suggest the product is outpacing sales and customer success operational capacity.

Tech Stack 16 technologies

Core StackZendesk Salesforce PostgreSQL Python Pandas PySpark Scala Java Databricks TikTok Spotify SQL Hive Athena Jupyter

What Foursquare Is Building

Challenges

  • Unlocking new revenue streams
  • Gap in technical product understanding
  • Client reporting challenges
  • Data integrity issues in campaign reporting
  • Retain & grow account revenue
  • Improving internal efficiencies
  • Troubleshooting campaign breaks
  • Setting up measurement reporting

Active Projects

  • Partnership integration projects
  • Co-marketing initiatives
  • Scalable query templates and dashboards
  • Measurement storytelling best practices
  • Pre-sale insights and post-campaign storytelling
  • Scoping and implementing custom internal solutions
  • Setting up measurement and reporting for new products
  • Campaign management and troubleshooting
  • New business outreach
  • Media measurement and targeting solutions

Hiring Activity

Decelerating10 roles · 3 in 30d

Department

Sales
9
Data
1
Support
1

Seniority

Mid
5
Senior
4
Director
1
Junior
1
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About Foursquare

Foursquare is a location intelligence platform founded in 2009 and headquartered in New York. The company serves enterprise clients across marketing, development, and data analysis use cases, positioning location data as a foundational infrastructure layer. The product suite spans attribution and audience targeting for campaigns, developer-facing APIs and movement SDKs, and analyst tools (Studio, Places) backed by a large proprietary points-of-interest database. Foursquare operates offices across New York, San Francisco, Seattle, Chicago, Serbia, and Singapore, reflecting both geographic scale and a distributed engineering footprint. The tech infrastructure relies on Databricks and SQL-based data warehousing (PostgreSQL, Hive, Athena) to process and serve location-derived insights at scale.

HeadquartersNew York, NY
Company Size501–1,000 employees
Founded2009
Hiring MarketsUnited States, Peru, Serbia

Frequently Asked Questions

What tech stack does Foursquare use?

Core stack: PostgreSQL, Hive, Athena for data storage and querying; Databricks, PySpark, and Scala for distributed processing; Python and Pandas for analysis; Jupyter for development. Also integrates Salesforce, Zendesk, and Spotify in operational workflows.

What is Foursquare working on?

Active priorities include measurement and reporting infrastructure (dashboard templates, post-campaign storytelling, data integrity fixes), partner integrations, co-marketing initiatives, and troubleshooting campaign execution issues. Internal focus is on improving measurement setup for new products and growing account retention.

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