A tailored course, built for your situation
Stronger comp negotiation backed by AI product credentials
Prove your premium value in every conversation with hiring panels and leadership.
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
The situation this course is for
Who this is for
IC product leader with AI delivery experience at high-impact tech firms, seeking higher compensation through stronger positioning of technical and cross-functional outcomes.
Who this is not for
Managers looking to scale team output, individual contributors without shipped AI product work, or specialists focused on infrastructure-only roles.
What you walk away with
- Articulate AI product impact in revenue-adjacent terms that resonate in comp reviews
- Benchmark your role against current market premiums for AI-focused PMs
- Package cross-company delivery wins into a credible, promotion-ready portfolio
- Justify top-quartile compensation using structured evidence of scope and adoption
- Navigate negotiation conversations with confidence grounded in industry benchmarks
The 12 modules (with all 144 chapters)
Module 1. Framing AI product work as value delivery
Learn how to position your AI product outcomes not as features but as revenue-intent initiatives that justify premium compensation.
12 chapters in this module
- From feature to value narrative
- Mapping product impact to business KPIs
- Why AI PMs now command premium rates
- Examples from YC and Big Tech
- The shift from output to outcome language
- How hiring panels assess AI product impact
- Linking adoption to business growth
- Avoiding technical-only storytelling
- Using customer retention as proof point
- Connecting velocity to market response
- Positioning scale as leverage
- Crafting your first value statement
Module 2. Benchmarking AI product compensation
Access and apply current compensation data for AI product roles across startups and public tech firms.
12 chapters in this module
- Sources of reliable comp data
- Understanding total package breakdowns
- Equity benchmarks for AI roles
- Salary bands at pre-IPO startups
- How FAANG treats AI specialization
- Adjusting for company stage
- Remote vs. hub-based premiums
- Founder vs. hired PM pay spread
- When title matters less than scope
- Reading between comp band lines
- Negotiation leverage points
- Updating your personal benchmark sheet
Module 3. Building a promotion-ready portfolio
Curate and structure your delivery history into a compelling narrative for comp discussions.
12 chapters in this module
- Selecting high-impact projects
- Defining scope escalation
- Showing decision ownership
- Proving cross-org influence
- Highlighting technical depth
- Including adoption metrics
- Using stakeholder quotes
- Anonymizing sensitive data
- Sequencing for narrative flow
- Tailoring portfolio to audience
- Linking to revenue levers
- Creating your one-pager
Module 4. Articulating scope and ownership
Demonstrate the breadth and depth of your role in ways that justify higher pay bands.
12 chapters in this module
- What 'ownership' means in AI PM
- Scope inflation without overclaiming
- Showing escalation path maturity
- Balancing collaboration and leadership
- Documenting decision rationale
- Highlighting risk mitigation
- Proving product-market fit
- Using roadmap evolution as proof
- Measuring technical tradeoff impact
- Linking OKRs to outcomes
- Showing customer problem depth
- Crafting ownership statements
Module 5. Using customer adoption as proof
Turn usage metrics into compelling evidence of product value and personal impact.
12 chapters in this module
- Identifying leading adoption signals
- From DAU to engagement depth
- Retention as a quality proxy
- Expansion within accounts
- Feature-specific conversion
- NPS and qualitative feedback
- Case study snippets
- Highlighting churn reduction
- Showing workflow integration
- Benchmarking against peers
- Using testimonials wisely
- Building an adoption dossier
Module 6. Positioning IC work at senior levels
Advance compensation without moving into management by demonstrating principal-level impact.
12 chapters in this module
- What principal PMs actually do
- IC paths at top tech firms
- Scope beyond team boundaries
- Influencing without authority
- Setting de facto standards
- Mentoring without title
- Driving cross-functional alignment
- Owning complex tradeoffs
- Representing org externally
- Speaking at internal summits
- Publishing frameworks
- Building your IC leadership brand
Module 7. Crafting negotiation narratives
Structure conversations around compensation with clarity, confidence, and evidence.
12 chapters in this module
- Opening with value, not need
- Timing the conversation right
- Using market data as anchor
- Linking impact to future potential
- Handling 'we’re flat' responses
- Negotiating equity upside
- Trading scope for compensation
- Using competing offers wisely
- Staying collaborative in pushback
- Setting expectations for review cycle
- Securing non-cash elements
- Closing with mutual gain
Module 8. Leveraging startup and Big Tech credibility
Combine your background across stages to position yourself as a rare hybrid asset.
12 chapters in this module
- Why cross-environment PMs win
- Meta’s AI velocity lessons
- Microsoft’s scale discipline
- Dropbox’s workflow focus
- YC startup intensity
- Translating speed to rigor
- Balancing experimentation and control
- Using brand credibility strategically
- Highlighting adaptability
- Showing pattern recognition
- Avoiding 'job hop' framing
- Building a cohesive career arc
Module 9. Creating repeatable positioning assets
Develop templates and frameworks that compound your credibility across opportunities.
12 chapters in this module
- Designing your personal value statement
- Building a modular portfolio
- Creating metrics snapshots
- Developing one-pagers for review
- Standardizing impact summaries
- Updating with each win
- Automating data pulls
- Using templates across roles
- Keeping artifacts current
- Sharing selectively with sponsors
- Versioning your narrative
- Making it delegation-ready
Module 10. Engaging sponsors and advocates
Equip allies to speak on your behalf with credible, evidence-backed talking points.
12 chapters in this module
- Identifying potential sponsors
- Sharing portfolio selectively
- Crafting advocate talking points
- Providing pre-briefs for reviews
- Highlighting team-wide impact
- Making it easy to endorse you
- Following up after advocacy
- Building reciprocity loops
- Staying visible without overreach
- Using peer feedback as fuel
- Creating sponsorship pathways
- Turning mentors into advocates
Module 11. Navigating internal equity reviews
Prepare for formal cycles with structured evidence that supports upward adjustments.
12 chapters in this module
- Understanding review timelines
- Gathering stakeholder input
- Aligning self-review with data
- Anticipating leveling objections
- Using peer comp as reference
- Highlighting scope expansion
- Showing cross-org impact
- Documenting innovation lift
- Positioning during budget cycles
- Leveraging external validation
- Responding to calibration feedback
- Planning next-cycle moves
Module 12. Sustaining premium positioning
Keep your value narrative current and resilient across market shifts and role changes.
12 chapters in this module
- Updating benchmarks quarterly
- Tracking market shifts
- Maintaining portfolio freshness
- Adding new wins systematically
- Reassessing comp goals annually
- Adapting to org changes
- Preserving credibility in downturns
- Staying visible in transitions
- Expanding influence domains
- Balancing ambition with credibility
- Avoiding overclaim fatigue
- Planning long-term trajectory
How this maps to your situation
- Preparing for promotion review
- Entering negotiation cycle
- Building case for raise
- Positioning for new role
Before vs. after
Before
Comp discussions rely on memory and vague impact statements.
After
Every negotiation is backed by structured evidence, clear benchmarks, and a proven value narrative.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 2.5 hours per module, designed for completion over 6, 8 weeks with weekly application.
If nothing changes
Without structured positioning, even strong delivery can be under-valued in comp cycles, leading to missed increases despite market demand for AI product skills.
How this compares to the alternatives
Generic salary negotiation courses focus on tactics, not domain-specific positioning. This program is tailored to AI product leaders who need to justify premium pay through technical and business impact, combining comp strategy with product storytelling.
Frequently asked
Is this course relevant for ICs not on management track?
Yes. It’s designed specifically for individual contributors aiming to increase compensation through stronger positioning of technical and cross-functional impact.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does it include real compensation data?
Yes. Each module includes current benchmarks, anonymized deal sheets, and frameworks to apply them to your context.
$199 one-time. Approximately 2.5 hours per module, designed for completion over 6, 8 weeks with weekly application..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours