Forward deployed engineers

Every enterprise customer pulling your R&D into integrations?

FDEs sit between the customer and your product team: they ship PoCs, connect systems, resolve technical blockers, and keep your roadmap moving.

PoCs Built in the customer's real environment.

R&D Shielded from one-off field requests.

Product Gets clean signal instead of customer noise.

Book a strategy call See the model

FDE active

Customer rollout

connect.crm() map.permissions() validate.data_pipeline() handoff.product_signal()

Customer systems API, data, SSO, security

R&D roadmap Protected from project drag

Built for B2B teams where every large customer has a different environment.

AI SaaS, cyber, data platforms, DevTools, fintech, healthtech, and enterprise SaaS teams use FDE capacity when the product is strong, but customer reality creates technical drag.

AI SaaS Cyber Data platforms DevTools Fintech Enterprise SaaS

Our senior engineers keep getting pulled into PoCs.

Common signal

Every new customer needs just one more integration.

Common signal

Product feedback arrives as scattered requests, not decisions.

Common signal

The operating model

Do not turn every customer into an R&D project.

FDEs create a technical field layer that can execute in the customer's environment while giving your product team only the signal that should become product.

FDE layer Field ownership. Product discipline.

A technical operator owns the messy middle: customer context, integration work, PoC execution, and structured handoff back to product.

Roadmap protection

R&D keeps building core product instead of chasing one-off requests.

Faster customer activation

PoCs, integrations, and onboarding move without waiting on sprint capacity.

Cleaner product signal

Field feedback is filtered into what is recurring, strategic, and worth building.

Technical trust

Customers get someone who can speak business context and still go deep technically.

Why not just R&D?

You have engineers. That is exactly why you need FDEs.

R&D should build scalable product, infrastructure, architecture, and roadmap. FDEs bring a specific customer to real usage in a specific environment, without turning every field need into a product commitment.

R&D

Builds once for many customers.

Core platform, product roadmap, architecture, reusable features.

FDE

Gets one customer live fast.

PoCs, integrations, customer data, technical blockers, field execution.

R&D

Should not attend every customer call.

Their time is too expensive to become the default escalation path.

FDE

Lives in the customer reality.

They absorb the mess, solve what is local, and escalate what is product-worthy.

Scope

Technical field execution for the places your team gets stuck.

FDEs plug into the stage where interest already exists, but real adoption depends on customer-specific technical work.

PoC execution API integrations Customer data mapping SSO and permissions Security reviews Technical onboarding Workflow adaptation Product feedback loops

How it works

Start with one bottleneck. Expand only when the impact is clear.

The goal is not to sell hours. It is to place technical ownership exactly where customer activation currently burns product capacity.

Map the drag

We identify where customers currently pull R&D into field work.

Assign the right FDE

Match the operator to your product, customer profile, and technical surface.

Execute in the field

PoCs, integrations, blockers, technical onboarding, and customer-facing work.

Return product signal

R&D receives what should become product, not every local customer request.

Keep R&D focused on product while customers still move forward.

In one call, we will map where enterprise customers create technical drag and where an FDE can produce the first measurable impact.

Book a strategy call

Book a call

Where does customer work hit your R&D today?

Tell us what gets pulled into engineering: PoCs, integrations, onboarding, support escalations, or product feedback loops.