Accelerating product delivery through embedded engineering capability for a technology company
Technology company • Product and data roadmap outpacing team capacity
The challenge.
Client
Technology company
Pressure
Product and data roadmap outpacing team capacity
Service
Embedded Engineering
What we built.
Embedded
Senior engineering and data specialist embedded in the product team alongside product owner and tech lead
Backlog
Shaping backlog
Delivery
Delivering across front-end, back-end, integrations and data architecture
Continuity
With a continuity-first resourcing model
The results.
Features shipped on time, to a consistent quality bar.
Stronger foundations for the data architecture.
Product context was preserved throughout the initiative.
Services used.
Data & cloud
AWS and Microsoft foundations, migration and FinOps; data platforms on Databricks and Snowflake.
Explore →Quality engineering
Test automation and AI testing, so every release and every agent is proven before it runs.
Explore →AI strategy & governance
Strategy, architecture and AI governance, with a 1-week assessment that ends in a costed roadmap.
Explore →Client identities anonymised • Detailed references available on request
Bring us one process. We'll show you it running.
A 45-minute briefing with an engineer, or a 1-week assessment that ends in a costed roadmap.