Outcome-owned pod
We staff a pod, not a pool of seats. The pod is measured on product KPIs you care about — activation, retention, conversion, NPS — not on hours, tickets or lines of code shipped.
Services
Product Engineering Services for Software Companies in the US & EU
End-to-end product engineering — discovery, design, build, operate — delivered by a senior cross-functional pod. Each engagement is staffed with a PM, a product designer, full-stack engineers, QA, DevOps and SRE, and is measured on product outcomes rather than hours billed. We embed inside US and EU software companies that need a partner to own a product surface, ship to a measurable KPI and stay on the codebase long after launch. GDPR-aligned, SOC 2 Type II in progress.
Product engineering is an engineering team that owns a product surface — or an entire product — from discovery to operate. It is different from staff augmentation, where the client manages priorities and our engineers fill seats: in a product engineering pod, we own the slice of roadmap we are accountable for and ship against measurable outcomes such as activation, retention, NPS and engineering cycle time. The common starting points we see are predictable: an in-house team that has stalled and needs a senior pod to restart velocity; a new product line that needs to ship without distracting the core team; or a six-plus-year codebase that needs to be modernised while staying live for paying customers.
What's inside a product engineering engagement
Cross-functional from day one
PM, product designer, full-stack engineers, QA and SRE sit inside one pod from kickoff. No handoffs to a separate design or ops vendor, no waiting for cross-team scheduling.
Discovery before delivery
Every engagement opens with a one-to-two-week product discovery: north-star metric, target users, scope of release one, success criteria and risk log, before a single sprint is planned.
Operate, don't just build
After launch the pod owns SRE, on-call, analytics, A/B testing and continuous discovery. The product keeps improving on the same team that built it — no separate maintenance vendor.
Design-led, ship-fast
Shared Figma library, codified design tokens, weekly demos to your stakeholders. Design runs one sprint ahead of engineering so the pod never blocks itself waiting on screens.
Compounding velocity
We track DORA-style metrics per pod — lead time for changes, deploy frequency, change-failure rate, MTTR — and tune team composition and architecture so velocity compounds instead of decays.
Product engineering stack
TypeScript
React
Next.js
Vue
React Native
Node.js
NestJS
Python
FastAPI
Django
.NET 8
Go
PostgreSQL
MongoDB
Redis
Kubernetes
AWS
Azure
GCP
Terraform
Datadog
Sentry
Figma
Linear
How we run a product engineering engagement
-
01
Discovery
One to two weeks of product discovery: narrative, north-star metric, target users, scope of release one, success criteria, architecture sketch and risk log. Output is a signed engagement charter.
-
02
Foundation
Architecture decisions, design system and tokens, CI/CD, observability stack, environments and access. The pod ships its first user-visible feature inside sprint two, on top of foundations that will scale.
-
03
Build
Two-week sprints, weekly demos to your stakeholders, design one sprint ahead of engineering, automated test coverage growing every release. Product KPIs and DORA metrics reported monthly.
-
04
Operate
Post-launch the pod owns SRE, on-call and incident response, A/B testing, analytics, and continuous discovery. New roadmap items are co-prioritised with your product leadership every quarter.
Engagement models
Fixed Price
Scoped milestones with fixed deliverables — typically a discovery package, an MVP release, or a migration with a hard deadline. Best when scope and acceptance criteria are stable.
Time & Materials
Default model. Monthly invoicing per role and seniority, transparent capacity and burn, scope flexes sprint by sprint with your product leadership.
Outcome-owned Pod
Pod fee tied to product KPIs — activation, retention, conversion, MTTR — with a bonus-malus mechanic. For mature products where outcomes are measurable from day one.
Selected work
PropTech · Marketplace
ANT
Property marketplace web platform with listing CMS, search and B2B admin console for US and EU operators.
Social Media · Consumer Tech
JoyJet
Production social platform — App Store + Google Play, live across the US and EU — with geo Radar, encrypted messaging and a virtual economy.
Mobility · Ridesharing
Convenient Taxi Aggregator
Three-app ride-hailing platform — driver, passenger, dispatcher — with real-time GPS, document verification, dual cash/card payments.
Why US & EU teams pick YuSMP for product engineering
GDPR-aligned · ISO 27001 ready · SOC 2 Type II in progress · HIPAA-capable · CCPA-acknowledged
Outcome-ownership
The pod commits to product KPIs in writing during discovery and reports against them every month. Roadmap, composition and architecture decisions are tied to the metric that matters — not to ticket throughput.
Senior-only cross-functional pods
PM, designer, engineers, QA, SRE in one pod, all senior, all vetted, all on CET hours with a guaranteed 9 AM–1 PM ET overlap. No silent juniors, no shadow contractors, no scheduling games across vendors.
Compliance-aware delivery
EU data residency · US options on request, DPAs on request, GDPR-aligned by default, SOC 2 Type II in progress, HIPAA-capable scoping for health, CCPA-acknowledged for US consumer data, PCI DSS for payments.
Compliance scope is agreed in the discovery charter and audited every quarter against the product surface the pod owns.
Frequently asked questions
What is product engineering and how is it different from staff augmentation?
Product engineering is an outcome-owned engagement: a cross-functional pod (PM, designer, full-stack engineers, QA, DevOps, SRE) takes accountability for a product surface or a whole product and is measured on product KPIs — activation, retention, NPS, lead time, deploy frequency. Staff augmentation is the opposite: you rent named seats and your team owns priorities, design, QA and ops. Product engineering reduces handoffs and management load on your side; staff aug gives you more direct control over each engineer's day.
What product KPIs do you commit to?
During discovery we agree on two layers of metrics. Product KPIs are tied to the product's north-star — activation, retention, conversion, NPS, revenue per user, time-to-value. Engineering KPIs cover delivery hygiene — lead time for changes, deploy frequency, change-failure rate, MTTR. We report both monthly and tie pod composition and roadmap decisions to those numbers. The KPI set is co-owned with your product leadership and revisited every quarter.
Who leads the pod — your PM or ours?
Default model: our PM leads the pod and works in lockstep with your product leadership; our designer owns UX and design system; our tech lead owns architecture. You keep final say on roadmap, scope and release. If you already have a strong PM in-house, we can drop our PM role and run the pod under your PM — in that case we replace the PM seat with an additional engineer or designer at the same fully-loaded rate.
How do you handle discovery and design before engineering starts?
Every engagement opens with a one-to-two-week discovery: product narrative, north-star metric, target users, scope of the first release, success criteria, architecture sketch and risk log. The output is a written engagement charter that we both sign. Design runs ahead of engineering by one sprint in a shared Figma library with design tokens. Discovery is fixed-price; if you decide not to proceed after discovery, you keep all artefacts and there is no obligation to continue.
How long does a typical engagement last?
Most product engineering engagements run 9–24 months. The shortest are 6-month new-product builds — discovery, MVP, public launch, first 90 days of operate. The longest are multi-year platform partnerships where the pod owns a product surface across several major releases. We do not take engagements shorter than six months, because product KPIs cannot be moved meaningfully in less time, and a shorter engagement is better served by our dedicated team or custom development offering.
What about GDPR, SOC 2, HIPAA, CCPA?
All pods are GDPR-aligned by default: EU data residency, EU-based contracts, DPAs on request, sub-processor register. SOC 2 Type II is in progress. HIPAA-capable scoping is available for health workloads — BAAs, encrypted PHI handling, audit trail. CCPA notice obligations are acknowledged for US consumer data and we align with your privacy notice. ISO 27001 controls are applied to repos, endpoints and access. For payments we run inside PCI DSS scope and align with your QSA.