AI-Native Product Leadership
A private programme that gets your whole product team working with AI — the same tools, the same way, across the team.
Taught by Raunak SwarnkarProduct Leader & InstructorWhat you'll walk away with
A private engagement, run on your real product and roadmap.
Shared context conventions
One agreed structure for company, product, team, goals and constraints — used the same way by everyone.
A team skill library
The PM motions your team repeats, authored once as governed, reusable skills.
Governed workflows and wrappers
End-to-end workflows behind simple commands, approved for use across the team.
A leadership operating model
How to review agentic work, set standards, and keep the stack healthy over time.
Raunak Swarnkar
A product leader, instructor and ex-founder. Raunak has led product as Head of Product and shipped AI products end to end, and he advises startups from seed to Series C — plus leading brands — on product strategy, GTM, PLG and turning their teams AI-native. He works hands-on with founders and CxOs, and teaches every course himself.
How an engagement runs
Tailored to your team — a typical four-phase shape
- Phase 1Week 1
Discovery and standards
MilestoneAgreed context conventions and a map of your team's highest-leverage PM motions.See the sessions
- With leadership
- Align on outcomes, current pain, and what 'AI-native' means for your org.
- With the team
- Audit how PMs work today and where an agent adds the most leverage.
- Phase 2Weeks 2–3
Build the team library
MilestoneA shared skill and workflow library authored on your real product.See the sessions
- Workshops
- Live sessions where the team authors skills and workflows together.
- Governance
- Set the review standard and the conventions that keep the library trustworthy.
- Phase 3Week 4
Govern and evaluate
MilestoneGoverned workflows with evals and guardrails, approved for team-wide use.See the sessions
- Quality
- Add evals so output quality doesn't depend on who ran the workflow.
- Leadership
- Train leads to review agentic work and maintain standards.
- Phase 4Ongoing
Roll out and sustain
MilestoneAn adoption plan and the operating model to keep the stack healthy.See the sessions
- Rollout
- Introduce the stack across the team with a plan that survives the engagement.
- Check-ins
- Optional follow-up sessions to keep the library sharp as the roadmap evolves.
Is this you?
For leaders taking an entire product org AI-native.
You want to do the work, not just watch — and leave with proof you can.
Shared context conventions
How to review agentic work, set standards, and keep the stack healthy over time.
Live, hands-on, agentic
Every fundamental paired with the AI workflow that makes it 10× faster.
Who this isn't for
- You're an individual, not a team — take The AI-Native PM instead.
- You want an off-the-shelf, fixed syllabus. This is tailored to your product.
- You're not ready to commit the team's time to live sessions.
What's included
A private cohort
One company per engagement, tailored to your team, product and constraints.
A team skill library
Authored on your real product and owned by you afterwards.
Governed workflows
Reviewed, evaluated and approved for team-wide use.
Leadership enablement
Your leads trained to review agentic work and hold the standard.
A rollout plan
So adoption sticks after the engagement ends.
Certificates for the team
Completion certificates for every participant.
Questions, answered
How is this priced?
How long does an engagement take?
Is it run on our real product?
Can individuals join instead?
Do you sign an NDA?
Where does it run?
Book your private cohort
A private programme that gets your whole product team working with AI — the same tools, the same way, across the team.
Not quite you?
Three levels, matched to where you are in your career.