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Wiland Tech Stack

Predictive analytics and audience data for direct marketing and nonprofit acquisition

Advertising Services Niwot, CO 201–500 employees Founded 2005 Privately Held

Wiland applies machine learning to consumer spending signals and intent data to build audiences for acquisition, retention, and lifetime value optimization. The tech stack—Spark, PySpark, Hadoop, R, Alteryx, SQL—reflects a data-engineering-first operation optimized for large-scale batch processing and statistical modeling rather than real-time inference. Active hiring is concentrated in data roles (3 open), with sales and client success filling out the rest; the company is balancing new product development (hybrid data+audience offerings, marketsignals) against sales-cycle friction and revenue targets.

Tech Stack 20 technologies

Core StackSalesforce Hadoop Apache Spark Scala Linux PySpark Python JavaScript Node.js MySQL MariaDB Excel SQL R Alteryx HDFS C/C++ Word Windows Scrum

What Wiland Is Building

Challenges

  • Shortening sales cycles
  • Complex sales with nonprofits
  • Meeting revenue goals
  • Integrating external data sets
  • Productizing high-value data asset
  • Developing hybrid data audience products

Active Projects

  • Sell wiland cooperative database membership
  • Sell marketsignals data products
  • Penetrate top businesses in travel and hospitality vertical
  • Develop sales leads for direct marketers
  • Integrating premium external data set into ecosystem
  • Roadmap for hybrid data + audience products
  • Developing next-generation hybrid offerings

Hiring Activity

Steady10 roles · 3 in 30d

Department

Data
3
Sales
2
Client-Success
1
Engineering
1
Ops
1
Product
1
Production
1

Seniority

Mid
6
VP
2
Intern
1
Senior
1

Notable leadership hires: Client Success Director

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About Wiland

Wiland is a data science company founded in 2005 that helps brands and nonprofits identify and engage high-value customers through predictive analytics and enriched consumer data. The platform ingests spending signals, intent data, and third-party datasets, then applies machine learning to segment audiences and forecast lifetime value. Core products include the Wiland Cooperative Database (a membership offering), MarketSignals (data-driven audience products), and hybrid offerings combining proprietary data with audience segmentation. The company operates across 200–500 employees with a 97% client retention rate, serving direct marketers, nonprofits, and vertical-specific segments including travel and hospitality.

HeadquartersNiwot, CO
Company Size201–500 employees
Founded2005
Hiring MarketsUnited States

Frequently Asked Questions

What technology does Wiland use for data processing?

Wiland's core stack includes Apache Spark, PySpark, Hadoop, HDFS, SQL, R, and Alteryx for analytics and modeling. Data workflows also use Salesforce for CRM and MySQL/MariaDB for databases.

What is Wiland working on?

Wiland is developing hybrid data + audience products, expanding the MarketSignals data product line, integrating premium external datasets into its platform, and targeting growth in travel and hospitality sectors. Internally, the company is focused on shortening sales cycles and productizing high-value data assets.

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