B2B SaaS engineering teams that scale with your roadmap

Ryz provides B2B SaaS engineering teams: senior engineers who work on your existing product, including extra product squads for the roadmap, platform and SRE capacity, the enterprise features stuck in your sales pipeline, and AI pods that ship AI features to production. Our engineers are the top 1% of the tens of thousands we interview, work on US business hours with same-day code review, and Fortune 500 engineering teams trust them with production systems.

This page is for SaaS companies that already have a product, customers and an engineering organization that cannot hire fast enough. If you are building a SaaS product from scratch, see SaaS development services instead.

What we build for B2B SaaS teams

• Roadmap squads. A tech lead plus senior engineers who take a product area, such as reporting, workflow automation or the mobile app, and ship it through your process, so your core team stops context-switching.
• Enterprise readiness backlog. SAML SSO, SCIM provisioning, granular roles, audit log exports, data residency options and customer-managed keys: the features that show up as blockers in late-stage deals.
• Integrations and marketplace apps. Native connectors to Salesforce, HubSpot, Slack, Microsoft Teams, Jira and NetSuite, public APIs, signed webhooks and listings on partner app marketplaces.
• Embedded analytics. Customer-facing dashboards and exports backed by ClickHouse, Snowflake or Postgres read replicas, plus Snowflake data shares for customers who want raw data.
• Platform and developer experience. Kubernetes or ECS platforms, Terraform modules, preview environments per pull request and CI pipelines that keep build times down as the codebase grows.
• Reliability and on-call. Service-level objectives, alerting that pages for customer impact rather than noise, incident runbooks and load testing before large customer onboardings.
• Test automation. Playwright and Cypress end-to-end suites, contract tests between services and the flaky-test cleanup that lets teams deploy many times a day.
• Architecture migrations. Breaking a monolith into services where it pays off, moving from single-region to multi-region, or upgrading a framework several major versions behind, without freezing the roadmap.

Where AI pods help in B2B SaaS

Customers now ask every B2B SaaS vendor about its AI roadmap, and competitors ship AI features fast. Our AI pod teams build those features into your product. See AI software development for the engineering details.

• In-product copilots. Assistants that answer questions about a customer's own data and take actions through your APIs. The hard part is permissions: the copilot must see exactly what the signed-in user can see, across every tenant.
• Support deflection. Answers drawn from docs, past tickets and release notes inside your help widget, with handoff to your support team in Zendesk or Intercom. Success is measured by resolved tickets, not by chat volume.
• Onboarding and data import. Mapping messy customer CSVs and legacy exports to your schema with model suggestions a user confirms, which shortens implementation projects.
• Churn and expansion signals. Models on product usage, support history and billing events that flag at-risk and expansion-ready accounts in your CRM, with features your customer success team can understand.
• Per-tenant AI controls and metering. Settings enterprise admins demand (on or off, retention, model region) and usage metering tied to plans, so AI features can be priced instead of quietly eroding gross margin.

Our pods have shipped customer-facing AI to production, including an AI voice platform with more than 1M outbound calls. See the case studies.

Regulations and constraints our engineers work within

• SOC 2 Type II and ISO 27001. Most B2B SaaS companies hold one or both. Our engineers work within your controls: change management, access reviews, least-privilege production access and evidence collection in tools such as Vanta or Drata.
• GDPR and data processing agreements. Data residency, deletion and export requests, and sub-processor lists. Adding a model provider usually means updating your sub-processor list and customer notices, which belongs in the plan.
• CCPA/CPRA and state privacy laws for any consumer data your customers send you.
• Industry overlays from your customers. HIPAA business associate agreements when healthcare customers send PHI, FedRAMP when you sell to federal agencies, and PCI DSS scope if you touch card data.
• EU AI Act. Transparency obligations for AI features, and stricter requirements if your product is used in high-risk areas such as hiring or credit.
• Accessibility. WCAG 2.1 AA and a current VPAT, which enterprise and public-sector procurement teams ask for.

Our engineers have experience working within these standards, in your environment and under your controls. Ryz does not claim SOC 2, ISO 27001, HIPAA or FedRAMP certification for its teams.

Integrations and data

• Billing and revenue: Stripe Billing, Chargebee, Recurly and your CRM's quote-to-cash flow.
• Identity: Okta, Microsoft Entra ID, Auth0 and WorkOS for SSO and SCIM.
• Product data: Segment, PostHog, Amplitude and Mixpanel events, with schemas versioned so analytics survive releases.
• Warehouse and reverse ETL: Fivetran and dbt into Snowflake or BigQuery, and Hightouch or Census pushing usage data back to Salesforce and HubSpot.
• Collaboration platforms: Slack, Microsoft Teams, Jira and Linear apps built on their APIs and marketplace rules.

How teams engage Ryz

• Staff augmentation. You add senior engineers to existing squads, on your team and reporting to your leads, when the roadmap outruns hiring. See hire SaaS developers.
• Dedicated development team. A Ryz squad with its own tech lead owns a product area, an integration program or a migration, and ships it through your release process.
• AI pod. A pod with a tech lead, an ML engineer and backend engineers builds AI features in your cloud and takes them to production.

Cost is team size × duration × monthly rate. Typical rates are $7,000 to $15,000 per engineer per month: mid-level at $7,000 to $10,000, senior at $10,000 to $15,000 and leads from $15,000. A five-person squad (a lead at $15,000 plus four seniors at $12,000) is $63,000 a month. You get a plan, a price and the names of the people before you start.

When Ryz isn't the right fit

If you need a freelancer for a short fix, booked self-serve without a conversation, a marketplace fits better. If you want follow-the-sun support from engineers in Europe or Asia time zones, or a strategy consultancy to redesign your org, other providers suit you better.

Related

• Guide: staff augmentation for scaling engineering teams
• DevOps services
• Test automation services
• Fintech software development

FAQ

How do added engineers avoid slowing down our existing team?

Senior engineers need less hand-holding, and a squad with its own tech lead needs even less. We start with a well-bounded area, pair each engineer with an owner on your side for the first weeks, and work on US business hours, so code review happens the same day instead of overnight.

Can your engineers work within our SOC 2 controls and customer data rules?

Yes. They work in your environment, under your access controls, change management and logging, with the production access your policies allow. Ryz does not claim SOC 2 certification for its teams; our engineers have experience working within SOC 2 and ISO 27001 programs.

Should we add engineers to squads or bring in a whole squad?

Add engineers when your squads have strong leads with room to manage more people. Bring in a dedicated squad when the work is a separable product area or program and your leads are already stretched.

What does it cost to scale a SaaS engineering team with Ryz?

Typical rates are $7,000 to $15,000 per engineer per month, depending on seniority. Two senior engineers at $12,000 each for six months is $144,000. Quotes are scoped per team.

Can a Ryz team own on-call for the areas it builds?

Yes. Teams can join your on-call rotation for the services they own, on US hours or as you agree, with runbooks and alerting set up as part of the work.

Questions we didn't answer? Email info@ryzlabs.com.