Managed Agile Teams that own the outcome.

Fully assembled pods with US program leadership, global engineering talent, and clear SLAs for velocity and quality.

Why Managed Pods?

Focus on your roadmap while we handle team management, sprint execution, and delivery

US-Led Governance

Program leadership in the US ensures clear communication and accountability

4+ Hour Overlap

Guaranteed timezone coverage for standups, planning, and blockers

Sprint SLAs

Committed velocity, on-time delivery rates, and quality metrics

Security Built In

SOC2 posture, NDA coverage, IP ownership clearly defined

Scale on Demand

Ramp up or down with 30-day notice, no long-term lock-in

Weekly Demos

Regular demo cadence keeps stakeholders aligned and informed

Pod Shapes for Every Need

Composable, outcome-driven teams ready to start in weeks

Cloud & Platform Pod

Typical Roles

Tech Lead, 2×Backend, 1×DevOps, 1×Frontend, 1×QA, 0.5×Scrum Master

Stack & Tools

Kubernetes, AWS/Azure/GCP, Terraform, Docker

Sample Outcomes

Infrastructure automation, platform reliability, scalable architecture

AI/ML & Data Pod

Typical Roles

ML Lead, 2×ML Engineers, 1×Data Engineer, 1×Backend, 1×QA

Stack & Tools

Python, TensorFlow/PyTorch, Airflow, Spark, MLOps tools

Sample Outcomes

Model training, feature pipelines, production ML deployment

DevOps/SRE Pod

Typical Roles

SRE Lead, 2×DevOps, 1×Backend, 1×QA, 0.5×Scrum Master

Stack & Tools

CI/CD, Observability (Datadog/New Relic), IaC, incident response

Sample Outcomes

Deployment velocity, MTTR reduction, reliability improvements

QA/Automation Pod

Typical Roles

QA Lead, 2×Automation Engineers, 1×Performance Tester, 1×Manual QA

Stack & Tools

Selenium, Cypress, JMeter, API testing frameworks

Sample Outcomes

Test coverage, defect reduction, release confidence

Product Engineering Pod

Typical Roles

Tech Lead, 2×Fullstack, 1×Frontend, 1×Backend, 1×QA, 0.5×Scrum Master

Stack & Tools

React/Next.js, Node.js, databases, cloud services

Sample Outcomes

Feature velocity, user experience, product iterations

From Discovery to First Sprint

Typical onboarding timeline: 2-3 weeks

Week 1

Discovery & Planning

  • Stakeholder interviews
  • Tech stack review
  • Definition of Done alignment
  • Pod shape finalization
1
Week 2

Team Assembly & Sprint 0

  • Engineer selection & vetting
  • Onboarding sessions
  • Environment setup
  • Backlog grooming
2
Week 3

Sprint 1 Begins

  • Sprint planning
  • Daily standups commence
  • First stories in progress
  • End of sprint demo
3

Ready to assemble your pod?

Start with a 20-minute discovery call