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Duration 7 hours
Course Outline
The Forward Deployed Model
- Origins of the role at Palantir
- Implementation of forward deployed teams at OpenAI, Anthropic, and major services firms
- Differentiating forward deployed roles from consulting and solutions architecture
- Key performance metrics for forward deployed engineers
The Deployment Gap
- Common reasons why pilots fail to reach production
- The balance between technical capability and organizational readiness
- Identifying signs that a deployment will not scale
- The financial impact of stalled pilot projects
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 Environment
- Mapping stakeholders from end-users to executive leadership
- Navigating access requests, security reviews, and environmental constraints
- Building trust with both technical and business teams
- Managing expectations during scope adjustments
Outcomes, Handover, and Scaling
- Defining success using the customer's specific metrics
- Transitioning to internal engineering and platform teams
- Converting repetitive tasks into reusable assets
- Documenting failure patterns to improve future engagements
Requirements
- Professional experience in delivering software, data, or integration projects
- Practical familiarity with cloud platforms and API-based integrations
- Some background in customer-facing technical work
Target Audience
- Engineers transitioning into forward deployed engineering positions
- Solutions architects and technical consultants
- Delivery leads and engineering managers developing embedded service practices
- Product engineers collaborating directly with enterprise clients
