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Duration 7 hours
Course Outline
The Forward Deployed Model
- Origins of the role at Palantir
- Forward deployed teams at OpenAI, Anthropic, and major service firms
- Differentiation from consulting and solutions architecture
- Key performance indicators for forward deployed engineers
The Deployment Gap
- Reasons why pilots often stall before reaching production
- The distinction between technical capability and organisational readiness
- Indicators of deployments that lack scalability
- The financial and operational costs of stalled pilots
The Engagement Lifecycle
- Phases: Discover, prototype, validate, go live, and scale
- Entry and exit criteria for each lifecycle stage
- Establishing cadence and decision rights with the customer
- Documenting assumptions and unresolved questions
Operating Within the Customer
- Stakeholder mapping from end-users to executive leadership
- Navigating access requests, security reviews, and environment constraints
- Building trust with both technical and business teams
- Managing expectations during scope changes
Outcomes, Handover, and Scale
- Defining success using the customer’s own metrics
- Handing over to internal engineering and platform teams
- Converting recurring tasks into reusable assets
- Documenting failure patterns to inform future engagements
Requirements
- Experience delivering software, data, or integration projects in a professional capacity
- Practical familiarity with cloud platforms and API-based integrations
- Basic exposure to customer-facing technical tasks
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
