AI GTM Engineer
Take AI products to market without the hype tax
RoleLive now
RoleCamp's Flagship ProgrammeForward Deployed Product Manager
A field-first curriculum for deploying AI into real enterprise workflows
12 weeks · 67 sessions · self-paced
Core competency stack
What you can actually do by the end of the programme.
- Customer & workflow discovery
- GenAI, prompting & context engineering
- RAG, tool calling, MCP & agents
- Enterprise architecture & security
- Evaluation, safety & governance
- Production observability & recovery
- Commercial scoping & SOW
- Adoption, ROI & expansion
- Product generalization
- Executive communication & placement
The curriculum
67 sessions. Open a chapter to see its sessions, briefs and tools.
The Field Product Function
FDPM vs FDE vs Deployment Strategist vs Solutions PM — same function, different org placement. Where you sit in the pod.
Palantir bloglive JD teardownsDeployment Economics
Land small on one operational problem, get working software live quickly, services drive adoption, and understand the eventual shift toward subscription/product revenue.
Sheets margin modelEverest researchOperating Rhythm & Sustainability
Travel, context switching, customer pressure, internal coordination, prioritisation and boundary setting. The honest operating cost of the role.
Calendar auditboundary protocols
Not a course about AI. A practice in shipping it.
Most "AI for PMs" content teaches you what the technology is. This teaches you what to actually do with it — how to scope a deployment, work with engineering, and know when a model is good enough to ship.
Every session ends with a decision or an artifact, not a quiz. By the end, you've practiced the job, not just read about it.
How it works
Understand. See. Apply. Repeated on purpose.
The same cycle from Waypoints — just run across the whole curriculum instead of one topic.
01 — Concept
A real workflow or decision.
Framed plainly, the way it actually shows up in the field.
02 — Example
How it plays out.
See it in an actual deployment, not a hypothetical.
03 — Apply
Your own artifact.
A scoping doc, a decision, a working output — not a quiz.
This cycle runs 67 times across the curriculum — no video, no cohort dates. Read it, do it, move to the next one, on your schedule.
Why Deep Track
Waypoints teach you the idea. Deep Track builds the skill.
You could learn what MCP is in ten minutes. Knowing when to greenlight a deployment, push back on a timeline, or catch a gap before it stalls a rollout takes repetition — the kind a single explainer can't give you.
This is that repetition, already structured for you.
Useful for
Product managers moving into AISolutions engineersFounders shipping AI featuresAnyone who owns a deployment, not just a roadmap
Not sure yet?
Start with the free Waypoint first
"Is This AI Actually Working? (Evaluation & Guardrails)" covers the core idea behind this programme in about 10 minutes, free.
Next out of camp
AI Solutions Architect
Design AI systems that hold up inside real organisations
Context Engineer
Engineer the context that makes models useful
Forward Deployed Engineer (FDE)
Forward Deployed Engineer (FDE)
Frequently asked
Is this a video course?+
No. It's structured, self-paced practice — reading, real examples, and applied exercises. No cohort dates, no waiting on a schedule.
Do I need to finish a Waypoint first?+
No, but it helps. If you've done the "Evaluation & Guardrails" Waypoint, part of this programme will feel familiar rather than new.
How is this priced?+
RoleCamp is free right now — no payment required to start the programme.
What happens after I finish?+
You keep access to review any module, and you're first to know when new Deep Track programmes launch.
Ready to build the skill, not just the idea?
12 weeks, 67 sessions, at your own pace.
Open the Learning Path