CPO, GM xBraintrust, Nextdoor, OpenTable
Ex-Alexa AI Principal PM


6 people enrolled last week.
AI increases what your ICs can do. It also breaks the management systems most teams rely on.
Prototypes multiply. Quality becomes subjective. Risk ships quietly.
You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.
If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.
This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.
Leave with:
1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned
2. A repeatable risk review process your team can run without pulling you in
3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call
4. Reusable operating artifacts built during the workshop — actual deliverables, not slides
Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.
Because without it, you stay in every decision and become the bottleneck.
Because risk that ships quietly is the thing that ends careers and kills roadmaps.
Because "we'll know it when we see it" isn't a quality bar your engineers or execs can work with.
Because the goal isn't to step back — it's to finally feel like you're running the work, not just reacting to it.
Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.
Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.
Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.
Live sessions
Learn directly from Elena Luneva & Polly Allen in a real-time, interactive format.
Templates and prompts playbooks
Playbooks, prompts, system design docs and templates that you can always access.
Video Modules
Watch at your own pace. Modules include live scenarios, practice and come with tools and templates. Lifetime access to rewatch anytime.
Alumni Advantage
Alumni enjoy exclusive rates for future programs and executive labs.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
4 live sessions • 19 lessons
Mar
21
The AI-First Operating System
Mar
21
360° Risk Framework
Mar
22
Upgrading Agile to SIGNAL for the AI Era of Building
Mar
22
Evaluation for Launch Readiness & Beyond
Live sessions
6 hrs / week
Sat, Mar 21
4:00 PM—5:30 PM (UTC)
Sat, Mar 21
5:30 PM—7:00 PM (UTC)
Sun, Mar 22
4:00 PM—5:30 PM (UTC)
Sun, Mar 22
5:30 PM—7:00 PM (UTC)
Projects
4 hrs / week
Async content
6 hrs / week