Can you find engineers with experience in multi-tenant SaaS architecture?

Yes. Multi-tenancy experience is something we ask about specifically. Engineers who've designed or migrated multi-tenant systems are in our network: we ask about data isolation patterns and the tradeoffs they've made.

What about Stripe integrations and billing systems?

Stripe is one of the most common integration requests we get. Beyond basic payment processing, we have engineers with experience in metered billing, Stripe Connect (for marketplace models), and subscription lifecycle management.

Do you place product-minded engineers who understand SaaS metrics?

We screen for product awareness during vetting. Engineers who can discuss CAC, LTV, activation rates, and why those numbers matter to engineering decisions tend to work better in SaaS product teams.

Can you staff for a full product team, not just individual engineers?

Yes. Our dedicated squads service builds a self-contained team: tech lead, engineers, and QA: for SaaS companies that want a team that operates independently.

SaaS

Engineering for products that need to ship and scale.

Multi-tenant architecture, billing systems, API infrastructure, and growth tooling: built by engineers who've worked inside SaaS products, not just around them.

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Where SaaS engineering slows down

SaaS has its own set of hard problems.

Multi-tenancy is harder than it looks

Data isolation, per-tenant configuration, and row-level security need to be in the architecture from day one. Retrofitting them into a single-tenant system is painful and risky.

Billing systems accumulate technical debt fast

Usage metering, proration, dunning, invoice generation, and plan change logic start simple and get complicated immediately. Most teams underinvest here early and pay for it later.

Instrumentation is infrastructure

Product analytics, feature flags, A/B testing, and error monitoring aren't add-ons: they're how you make decisions. Engineers who treat observability as optional slow down entire product teams.

APIs are products too

For developer-facing SaaS, your API is your product. Versioning, documentation, rate limiting, and SDKs aren't afterthoughts: they're the difference between adoption and churn.

What we build

The specific work SaaS teams ask us for.

5 use cases

Multi-tenant architecture

Schema-per-tenant, row-level security, and shared infrastructure with strong isolation. Engineers who've designed and migrated multi-tenant systems.

Billing and subscription systems

Stripe, Chargebee, and Recurly integrations. Usage metering, plan management, proration logic, and dunning flows: built to handle the edge cases.

API design and developer tooling

RESTful and GraphQL APIs, webhooks, SDK development, and developer documentation. Engineers who think about API ergonomics and versioning strategy.

Growth and product analytics

Event instrumentation, funnel analysis, feature flags, and A/B test infrastructure. Engineers who've worked closely with product and growth teams.

AI features and LLM integrations

Retrieval-augmented generation, prompt engineering infrastructure, and AI-powered features built for production SaaS: with token cost management and latency requirements in mind.

AI in this industry

Most SaaS products are now shipping AI features: copilots, smart suggestions, automated workflows, and natural language interfaces. Our engineers building in this space understand the infrastructure requirements beyond the LLM call: retrieval systems, context management, streaming responses, and the cost/latency tradeoffs that matter at scale.

Common tech stack