DemandScience Tech Stack

Account-based marketing platform with intent data and multi-channel demand activation

Software Development Greater Boston 1,001–5,000 employees Privately Held

DemandScience operates a demand-generation platform built on React, TypeScript, and Kafka, with infrastructure spanning AWS (EKS, ALB, NLB), Kubernetes, and Terraform. The tech stack signals a mature, cloud-native SaaS with orchestration complexity; adoption of Amazon EKS and pain points around cluster waste suggest active infrastructure consolidation. Hiring skews toward marketing (6 open roles) and engineering (4), with director-level content leadership, indicating a sales-driven GTM org scaling campaign execution alongside platform reliability.

Tech Stack 35 technologies

Core StackReact TypeScript Redux AWS Next.js Kafka Terraform ArgoCD GitHub Actions Kubernetes Helm GitHub DigitalOcean VMware Salesforce Terragrunt Karpenter Linkerd AWS Application Load Balancer AWS Network Load Balancer Route 53 AWS Secrets Manager Ubuntu Salt OVH Linode Hetzner KVM iptables nftables+4 more

AdoptingAmazon EKS

What DemandScience Is Building

◆Challenges

Renewal risk
Maintaining legacy systems
Data security compliance
Client relationship improvement
Improving campaign performance
Budget alignment
On-time delivery
Technical debt
Consolidating aws application environments
Eliminating cluster waste

▲Active Projects

Gtm digital campaigns
Account-based marketing programs
Coordinated account journeys
Amazon eks platform optimization
Infrastructure as code with terraform and terragrunt
Gitops maturity with argocd
High-priority gtm launches
Abm initiatives
Cross-functional programs
Content localization and personalization

Hiring Activity

Steady15 roles · 5 in 30d

Department

Marketing

Engineering

Data

Sales

Support

Seniority

Mid

Senior

Director

Manager

Lead

Notable leadership hires: Content Director

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About DemandScience

DemandScience is a mid-market demand-generation platform serving go-to-market teams at companies pursuing account-based marketing (ABM). The product combines intent data, content syndication, programmatic activation, and chat to identify and engage buyer groups across the funnel. The company runs omni-channel campaigns from a single platform and pairs technology with managed services. Based in Greater Boston with 1,001–5,000 employees, DemandScience operates a distributed team, hiring in the United States and Philippines across engineering, marketing, and data functions.

HeadquartersGreater Boston

Company Size1,001–5,000 employees

Hiring MarketsPhilippines, United States

Frequently Asked Questions

What tech stack does DemandScience use?

DemandScience uses React, TypeScript, Next.js, Kafka, AWS (EKS, ALB, NLB, Route 53), Kubernetes, Terraform, Terragrunt, ArgoCD, GitHub, GitHub Actions, and Salesforce. Infrastructure runs on AWS, OVH, Linode, DigitalOcean, Hetzner, and VMware/KVM.

Where is DemandScience headquartered?

DemandScience is headquartered in Greater Boston and is privately held with 1,001–5,000 employees. The company hires in the United States and Philippines.