AI Growth & Sales Engineering
Build pipelines that prospect, qualify and convert while you sleep.
Why this track exists.
A revenue-engineering track. You will compose AI-native growth systems that touch real CRMs, real inboxes and real signal — not toy demos.
You leave with a pipeline you would ship to your own company on Monday.
Compose AI-native growth systems on real CRMs, inboxes and signal.
You are…
- →GTM operators
- →Founders running their own outbound
- →Growth engineers
By the end…
- ✓Signal sourcing — turning the open web into a qualified list
- ✓Personalisation at scale without sounding like a robot
- ✓Agentic workflows for enrichment, scoring and reply triage
- ✓Measure the funnel honestly: attribution that survives a finance review
The work, in order.
- 01Signal sourcing
Turn the open web into a qualified list. Define ICP, signals and triggers.
lesson - 02Personalisation at scale
Outbound that sounds human. Templates, variables, model-assisted research.
challenge - 03Agentic enrichment
Workflows for scoring, routing and reply triage.
challenge - 04Pipeline review
Measure honestly. Build a dashboard a finance team would sign off.
peer_review
Your stack.
Tools shift fast. We teach the workflow so you can swap any of these without losing a beat.
Portfolio you can defend.
- ◆A working outbound pipeline
- ◆A live dashboard
- ◆A repeatable playbook
Common questions.
Do I need a list to start?+
No — we build sourcing in week one.
Is this just cold email?+
No — it's signal-driven, multi-channel, and measured.
