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Duration 7 hours
Course Outline
The Forward Deployed Model
- Historical origins of the role at Palantir.
- Current adoption by OpenAI, Anthropic, and large service firms.
- Distinguishing features compared to consulting and solutions architecture.
- Key performance indicators for forward deployed engineers.
The Deployment Gap
- Root causes for pilot projects stalling before production.
- The distinction between technical capability and organizational readiness.
- Indicators of deployments that lack scalability.
- Business impact of stalled pilot initiatives.
The Engagement Lifecycle
- Phases: Discovery, prototyping, validation, go-live, and scaling.
- Entry and exit criteria for each lifecycle stage.
- Establishing cadence and decision rights with clients.
- Documenting assumptions and resolving open questions.
Operating Inside the Client
- Mapping stakeholders from end-users to executive leadership.
- Navigating access requests, security reviews, and environment limitations.
- Building trust with both technical and business units.
- Managing expectations during scope changes.
Outcomes, Handover, and Scale
- Defining success through the client’s own metrics.
- Transitioning ownership to internal engineering and platform teams.
- Converting repetitive tasks into reusable assets.
- Documenting failure patterns to inform future engagements.
Requirements
- Professional experience in delivering software, data, or integration projects.
- Proficiency with cloud platforms and API-driven integrations.
- Prior involvement in technical tasks facing end clients.
Target Audience
- Engineers preparing to assume forward deployed engineering positions.
- Solutions architects and technical consultants.
- Delivery leads and engineering managers developing embedded service models.
- Product engineers collaborating directly with enterprise clients.
