Dreamdata Tech Stack

B2B attribution and activation platform connecting marketing spend to pipeline

Software Development Copenhagen, Capital Region 51–200 employees Founded 2018 Privately Held

Dreamdata connects B2B marketing activity directly to revenue outcomes through a customer journey mapping and attribution engine. The tech stack reveals a data-platform architecture (SQL, Python, Go, BigQuery, Snowflake, dbt, Apache Beam) built to ingest, transform, and activate marketing signals at scale. Notably absent: adopting or replacing signals—the stack appears stable. Hiring velocity has decelerated, with sales-dominant growth (8 open roles) over engineering (1 role), suggesting product-market fit with GTM expansion rather than platform buildout.

Tech Stack 24 technologies

Core StackJavaScript Go Kubernetes Temporal Python HubSpot LinkedIn Ads Google Ads Salesforce BigQuery Snowflake dbt Pandas GitHub SQL Apache Beam Dataflow LinkedIn LinkedIn Sales Navigator Meta YouTube Amazon Redshift Azure SQL dplyr

What Dreamdata Is Building

◆Challenges

Connecting marketing efforts to revenue
Revenue attribution challenges
Attribution linking marketing to revenue
Complex marketing attribution problem
Proving b2b revenue attribution value
Turn ad spend into predictable revenue
Turn paid budgets into pipeline
Rapid experimentation across funnel steps
Scaling product launches
Expanding us presence

▲Active Projects

Implementing genai and ai agents
Refining outreach strategies
Data ingestion pipelines
Internal apis for workflow platform
Data warehouse product
Refining messaging and qualification playbook
Onboarding new hires
Paid pipeline engine
Audience scaling using attribution insights
Structured experiments on hooks and formats

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Sales

Marketing

Support

Engineering

Product

Seniority

Senior

Junior

Manager

Lead

Mid

Notable leadership hires: BDR Team Lead

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About Dreamdata

Dreamdata is a B2B marketing attribution and activation platform founded in 2018, based in Copenhagen with operations spanning Denmark and the United States. The product maps the full B2B customer journey, enabling marketers to build audiences, identify buying intent, measure campaign impact on pipeline, and sync conversion data back to ad platforms. The platform integrates with Salesforce, HubSpot, LinkedIn, Google Ads, and Meta, and is designed for mid-market and enterprise GTM teams. Current focus areas include scaling U.S. presence, refining audience activation strategies, experimenting with GenAI agents, and improving messaging qualification.

HeadquartersCopenhagen, Capital Region

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, Denmark

Frequently Asked Questions

What does Dreamdata's tech stack look like?

Dreamdata uses SQL, Python, Go, and JavaScript as core languages, paired with data infrastructure (BigQuery, Snowflake, Redshift, dbt, Apache Beam, Dataflow, Kubernetes). The platform integrates with Salesforce, HubSpot, LinkedIn Ads, Google Ads, and Meta for audience activation and campaign orchestration.

What is Dreamdata currently building?

Active projects include implementing GenAI and AI agents, building data ingestion pipelines, developing a data warehouse product, creating a paid pipeline engine, refining audience scaling strategies, and running structured experiments on campaign messaging and formats.