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Duration 7 hours
Course Outline
The Forward Deployed Model
- The origin of the role at Palantir
- Forward deployed teams at OpenAI, Anthropic, and service firms
- Distinguishing this role from consulting and solutions architecture
- Key performance indicators for forward deployed engineers
The Deployment Gap
- Reasons pilots often stall before reaching production
- Technical capability versus organizational readiness
- Indicators that a deployment lacks scalability
- The financial impact of stalled pilots
The Engagement Lifecycle
- Phases: Discover, prototype, validate, launch, and scale
- Entry and exit criteria for each lifecycle stage
- Aligning cadence and decision-making authority with the customer
- Documenting assumptions and unresolved questions
Operating Inside the Customer
- Mapping stakeholders from end-users to executives
- Navigating access requests, security reviews, and environment limitations
- Building trust with both technical and business teams
- Managing expectations when scope evolves
Outcomes, Handover, and Scale
- Defining success using the customer's own metrics
- Handing over to internal engineering and platform teams
- Converting repetitive tasks into reusable assets
- Documenting failure patterns to improve future engagements
Requirements
- Experience delivering software, data, or integration projects in a professional context
- Practical familiarity with cloud platforms and API-based integrations
- Some exposure to customer-facing technical activities
Target Audience
- Engineers transitioning into forward deployed engineering roles
- Solutions architects and technical consultants
- Delivery leads and engineering managers building embedded practices
- Product engineers working directly with enterprise clients
