Forward Deployed Engineers

Marty Cagan argues that Forward Deployed Engineers (FDEs)—technical product creators who embed with customers to deeply understand their problems—are a powerful practice that applies well beyond the hard, high-stakes cases where Palantir made the model famous. He contrasts traditional custom-solutions consultancies, which build client-specified requirements and rarely own outcomes, with Palantir's approach of applying product thinking to custom work. The key insight is that deep customer immersion, especially across multiple customers, drives discovery of solutions that truly deliver outcomes. Cagan notes that scaling FDE work requires platform product thinking to generalize learnings into reusable capabilities. For product teams, especially those building technically complex or AI products, embedding engineers with customers is one of the fastest routes to valuable products.

01Key takeaways

• Embed your best engineers at customer sites and meet users directly to uncover real problems.
• Visiting multiple customers reveals shared patterns and differences that guide building one product for many.
• Custom work can still be product work when you take ownership of the customer's outcome.
• Synthesize what FDEs learn across clients into reusable platform capabilities to avoid endless bespoke solutions.
• For complex technical or AI products, engineers embedded with customers are often the fastest route to valuable solutions.

02Key sections

Defining the Forward Deployed Engineer

FDEs are technical product creators who embed directly with target customers to understand their environment, problems, and the outcomes they need. The concept is often tied to Palantir but applies much more broadly.

Product Companies vs. Custom Solutions

Traditional custom-solutions firms build what clients specify and rarely own results, while Palantir applied the product model to custom work, betting on its ability to deliver the customer's outcome.

Why Engineers Must Be Embedded

For deeply technical and AI products, engineers hold the key insight, so sending empowered engineers directly to customers to learn the problem space is the core of the model.

Scaling Through Platform Product

Palantir avoids thousands of bespoke solutions by synthesizing learnings across FDEs and clients into generalized platform capabilities that speed up future work.

Applying the Model Without Palantir's Scale

Even without a platform strategy, sending FDEs to multiple customers reveals similarities and differences, which is essentially customer discovery and a path to a single product serving many needs.

03From the post

“Note: This is part of the product creator series of articles, based on the overview article, The Era of the Product Creator. This series is intended for anyone that wants to create a successful product, whether or not the person has had professional training or experience in product management, product design, or engineering. In the... The post Forward Deployed Engineers…”

04Frameworks mentioned

Summary and takeaways written by PM Atlas; quotes are short excerpts. © the original author.