Open to PM roles · Portland area + remote US
AI-fluent product manager.
I build digital products from 0 to 1.
5+ years shipping 0-to-1 products across healthcare, eCommerce, and fintech. Co-founded a startup, raised $2.5M, led teams of up to 14. Based in Europe, relocating to Portland, OR in Q4 2026. Open to remote US roles.
AI Fluency
Prompt engineering
LLM workflows
Product strategy
Discovery
User Research
Product analytics
Cross-functional leadership
Stakeholder management
16+
products
shipped
1M+
users reached
across 4 industries
4
products led
simultaneously
$2.5M
raised as
co-founder
Tools of choice
Open to PM roles · Portland area + remote US
AI-fluent product manager. I build digital products from 0 to 1.
5+ years shipping 0-to-1 products across healthcare, eCommerce, and fintech. Co-founded a startup, raised $2.5M, led teams of up to 14. Based in Europe, relocating to Portland, OR in Q4 2026. Open to remote US roles.
AI Fluency
Prompt engineering
LLM workflows
Product strategy
Discovery
User Research
Product analytics
Cross-functional leadership
Stakeholder management
16+
products shipped
1M+
users reached across 4 industries
4
products led simultaneously
$2.5M
raised as co-founder
Tools of choice
Open to PM roles · Portland area + remote US
AI-fluent product manager. I build digital products from 0 to 1.
5+ years shipping 0-to-1 products across healthcare, eCommerce, and fintech. Co-founded a startup, raised $2.5M, led teams of up to 14. Based in Europe, relocating to Portland, OR in Q4 2026. Open to remote US roles.
AI Fluency
Prompt engineering
LLM workflows
Product strategy
Discovery
User Research
Product analytics
Cross-functional leadership
Stakeholder management
16+
products shipped
1M+
users reached accross 4 industries
4
products led simultaneously
$2.5M
raised as co-founder
Tools of
choice
Open to PM roles · Portland area + remote US
AI-fluent product manager.
I build digital products from 0 to 1.
5+ years shipping 0-to-1 products across healthcare, eCommerce, and fintech. Co-founded a startup, raised $2.5M, led teams of up to 14. Based in Europe, relocating to Portland, OR in Q4 2026. Open to remote US roles.
AI Fluency
Prompt engineering
LLM workflows
Product strategy
Discovery
User Research
Product analytics
Cross-functional leadership
Stakeholder management
16+
products
shipped
1M+
users reached
across 4 industries
4
products led
simultaneously
$2.5M
raised as
co-founder
Tools of choice
Selected work
App
Webapp
Turning a preventive health concept into a product people trust with their bodies.
My role: Lead PM · 0 to 1 · Preventive Healthcare · Switzerland
Aeon had a clear ambition: give people access to full-body MRI scans and bloodwork analysis before they get sick, not after. The product didn't exist yet. I led end-to-end discovery, ran user interviews with early patients and medical staff, and worked to understand what it actually takes for someone to trust a healthcare product they've never heard of. I defined the core product architecture, drove delivery from concept to launch, and tracked performance through the first three months of operation. Within three months the product had surfaced 20+ significant health findings in real users, some of them life-altering.
20+
significant findings detected within the first 3 months of operation
86%
outperformance of revenue goals within 6 months.
6 mo.
concept to live product
Product strategy
Discovery
User Research
Read Case Study
App
Using hypothesis-driven analytics to rethink how a pharmacy app earns attention without losing trust.
My role: Lead PM · Engagement strategy · eCommerce · Germany
RedCare had a full set of promotional placements in their app: banners, sliders, campaign surfaces. Nobody had done a rigorous assessment of whether they were doing what they were supposed to do. I mapped assumptions, identified the riskiest ones, and set up experiments to test them. Some placements were performing. Others were taking up space without earning it. The findings shaped a strategic plan and fed directly into a marketing automation platform migration, informing which placement behaviors needed to be rebuilt, adapted, or cut in the new system.
9h
saved per person per week via campaign automation
8.6%
increase in overall app engagement
2.8%
conversion uplift across promotional surfaces within 3 months
Product strategy
Product analytics
Hypothesis-driven PM
Experimentation
Platform migration
Read Case Study
Website
Funnel
Helping homeowners figure out which product fits their situation, before they talk to anyone.
My role: Lead PM · Conversion strategy · Real estate · Germany
Vobahome offers several real estate monetization products for homeowners 60+: partial sale, sale-and-leaseback, equity release, and others. None of these are easy to understand, and users arriving at the site had no way to figure out which applied to them. That uncertainty was killing lead quality. I identified the real issue: the funnel was generating volume, not fit. I redesigned the acquisition flow around a guided questionnaire that matches users to the right product based on their situation. At the end, they see which products fit and why the others don't. Leads land in Salesforce with context, not just contact details.
+40%
uplift in leads, Jan 2026 vs Jan 2025, same ad budget
Higher
lead quality and information depth on arrival
5
products mapped into a single guided decision flow
Product strategy
User research
Platform migration
Read Case Study
Selected work
App
Webapp
AI-fluent product manager. I build digital products from 0 to 1.
My role: Lead PM · 0 to 1 · Preventive Healthcare · Switzerland
Aeon had a clear ambition: give people access to full-body MRI scans and bloodwork analysis before they get sick, not after. The product didn't exist yet. I led end-to-end discovery, ran user interviews with early patients and medical staff, and worked to understand what it actually takes for someone to trust a healthcare product they've never heard of. I defined the core product architecture, drove delivery from concept to launch, and tracked performance through the first three months of operation. Within three months the product had surfaced 20+ significant health findings in real users, some of them life-altering.
20+
significant findings detected within the first 3 months of operation
86%
outperformance of revenue goals within 6 months.
6 mo.
concept to live product
Product strategy
Discovery
User Research
Read Case Study
App
AI-fluent product manager. I build digital products from 0 to 1.
My role: Lead PM · Engagement strategy · eCommerce · Germany
RedCare had a full set of promotional placements in their app: banners, sliders, campaign surfaces. Nobody had done a rigorous assessment of whether they were doing what they were supposed to do. I mapped assumptions, identified the riskiest ones, and set up experiments to test them. Some placements were performing. Others were taking up space without earning it. The findings shaped a strategic plan and fed directly into a marketing automation platform migration, informing which placement behaviors needed to be rebuilt, adapted, or cut in the new system.
9h
saved per person per week via campaign automation
8.6%
increase in overall app engagement
2.8%
conversion uplift across promotional surfaces within 3 months
Product strategy
Product analytics
Hypothesis-driven PM
Experimentation
Platform migration
Read Case Study
Website
Funnel
AI-fluent product manager. I build digital products from 0 to 1.
My role: Lead PM · Conversion strategy · Real estate · Germany
Vobahome offers several real estate monetization products for homeowners 60+: partial sale, sale-and-leaseback, equity release, and others. None of these are easy to understand, and users arriving at the site had no way to figure out which applied to them. That uncertainty was killing lead quality. I identified the real issue: the funnel was generating volume, not fit. I redesigned the acquisition flow around a guided questionnaire that matches users to the right product based on their situation. At the end, they see which products fit and why the others don't. Leads land in Salesforce with context, not just contact details.
+40%
uplift in leads, Jan 2026 vs Jan 2025, same ad budget
Higher
lead quality and information depth on arrival
5
products mapped into a single guided decision flow
Product strategy
User research
Platform migration
Read Case Study
Selected work
App
Webapp
Turning a preventive health concept into a product people trust with their bodies.
My role: Lead PM · 0 to 1 · Preventive Healthcare · Switzerland
Aeon had a clear ambition: give people access to full-body MRI scans and bloodwork analysis before they get sick, not after. The product didn't exist yet. I led end-to-end discovery, ran user interviews with early patients and medical staff, and worked to understand what it actually takes for someone to trust a healthcare product they've never heard of. I defined the core product architecture, drove delivery from concept to launch, and tracked performance through the first three months of operation. Within three months the product had surfaced 20+ significant health findings in real users, some of them life-altering.
20+
significant findings detected within the first 3 months of operation
86%
outperformance of revenue goals within 6 months.
6 mo.
concept to live product
Product strategy
Discovery
User Research
Read Case Study
App
Using hypothesis-driven analytics to rethink how a pharmacy app earns attention without losing trust.
My role: Lead PM · Engagement strategy · eCommerce · Germany
RedCare had a full set of promotional placements in their app: banners, sliders, campaign surfaces. Nobody had done a rigorous assessment of whether they were doing what they were supposed to do. I mapped assumptions, identified the riskiest ones, and set up experiments to test them. Some placements were performing. Others were taking up space without earning it. The findings shaped a strategic plan and fed directly into a marketing automation platform migration, informing which placement behaviors needed to be rebuilt, adapted, or cut in the new system.
9h
saved per person per week via campaign automation
8.6%
increase in overall app engagement
2.8%
conversion uplift across promotional surfaces within 3 months
Product strategy
Product analytics
Hypothesis-driven PM
Experimentation
Platform migration
Read Case Study
Website
Funnel
Helping homeowners figure out which product fits their situation, before they talk to anyone.
My role: Lead PM · Conversion strategy · Real estate · Germany
Vobahome offers several real estate monetization products for homeowners 60+: partial sale, sale-and-leaseback, equity release, and others. None of these are easy to understand, and users arriving at the site had no way to figure out which applied to them. That uncertainty was killing lead quality. I identified the real issue: the funnel was generating volume, not fit. I redesigned the acquisition flow around a guided questionnaire that matches users to the right product based on their situation. At the end, they see which products fit and why the others don't. Leads land in Salesforce with context, not just contact details.
+40%
uplift in leads, Jan 2026 vs Jan 2025, same ad budget
Higher
lead quality and information depth on arrival
5
products mapped into a single guided decision flow
Product strategy
User research
Platform migration
Read Case Study
Selected work
App
Webapp
Turning a preventive health concept into a product people trust with their bodies.
My role: Lead PM · 0 to 1 · Preventive Healthcare · Switzerland
Aeon had a clear ambition: give people access to full-body MRI scans and bloodwork analysis before they get sick, not after. The product didn't exist yet. I led end-to-end discovery, ran user interviews with early patients and medical staff, and worked to understand what it actually takes for someone to trust a healthcare product they've never heard of. I defined the core product architecture, drove delivery from concept to launch, and tracked performance through the first three months of operation. Within three months the product had surfaced 20+ significant health findings in real users, some of them life-altering.
20+
significant findings detected within the first 3 months of operation
86%
outperformance of revenue goals within 6 months.
6 mo.
concept to live product
Product strategy
Discovery
User Research
Read Case Study
App
Using hypothesis-driven analytics to rethink how a pharmacy app earns attention without losing trust.
My role: Lead PM · Engagement strategy · eCommerce · Germany
RedCare had a full set of promotional placements in their app: banners, sliders, campaign surfaces. Nobody had done a rigorous assessment of whether they were doing what they were supposed to do. I mapped assumptions, identified the riskiest ones, and set up experiments to test them. Some placements were performing. Others were taking up space without earning it. The findings shaped a strategic plan and fed directly into a marketing automation platform migration, informing which placement behaviors needed to be rebuilt, adapted, or cut in the new system.
9h
saved per person per week via campaign automation
8.6%
increase in overall app engagement
2.8%
conversion uplift across promotional surfaces within 3 months
Product strategy
Product analytics
Hypothesis-driven PM
Experimentation
Platform migration
Read Case Study
Website
Funnel
Helping homeowners figure out which product fits their situation, before they talk to anyone.
My role: Lead PM · Conversion strategy · Real estate · Germany
Vobahome offers several real estate monetization products for homeowners 60+: partial sale, sale-and-leaseback, equity release, and others. None of these are easy to understand, and users arriving at the site had no way to figure out which applied to them. That uncertainty was killing lead quality. I identified the real issue: the funnel was generating volume, not fit. I redesigned the acquisition flow around a guided questionnaire that matches users to the right product based on their situation. At the end, they see which products fit and why the others don't. Leads land in Salesforce with context, not just contact details.
+40%
uplift in leads, Jan 2026 vs Jan 2025, same ad budget
Higher
lead quality and information depth on arrival
5
products mapped into a single guided decision flow
Product strategy
User research
Platform migration
Read Case Study
What people say about me
Andrew Martinez-Fonts
Product leader; former eBay, Yelp, Contentful, Honeysales
I had the pleasure of working with Maxime as his mentor while he was enrolled in Product Academy's LevelUp program. At the time, Maxime was in the thick of finding product-market fit for alocalo, and I was impressed by his tenacity and commitment to the opportunity that he had found in the market. As a founder, he was wearing many hats at the time: customer research, design, product management, not to mention general management and fundraising. He handled it all with poise and humility, and I would love to work with someone like Maxime again in the future.
Tanja Lau
Founder of Product Academy
Maxime was enrolled in our Product Academy mentoring program and I had the pleasure to review his work and experience his valuable contributions in class first-hand in sessions like Hypothesis-driven Product Management, Product Discovery, Stakeholder Management, Strategy and more. He combines an entrepreneurial mindset with a holistic product view and tops it off with exceptional empathy, strong personal values, proactive and reliable communication as well as humble leadership.
Yassine Gabsi
Senior Frontend Engineer at Deepset
I'm truly grateful to have worked alongside you. Your exceptional management (and design) skills have consistently shone through, and your unwavering support for the team has made a remarkable impact. Through challenging moments and tight deadlines, your dedication, commitment, and strong sense of ownership have been truly inspiring.
Loay Awad
Software Engineer II at Handshake
Maxime is exceptional on both technical and personal levels. His product management skills are outstanding. What sets Maxime apart is his ability to balance his own vision with inputs from other team members, swiftly incorporating the best ideas to steer the product in the right direction. He possesses a natural leadership mindset and an excellent grasp of product strategy. Maxime is proactive and an excellent communicator, even while juggling multiple responsibilities, and he consistently delivers within tight deadlines. I would love to work with Maxime again!
What people say about me
Andrew Martinez-Fonts
Product leader; former eBay, Yelp, Contentful, Honeysales
I had the pleasure of working with Maxime as his mentor while he was enrolled in Product Academy's LevelUp program. At the time, Maxime was in the thick of finding product-market fit for alocalo, and I was impressed by his tenacity and commitment to the opportunity that he had found in the market. As a founder, he was wearing many hats at the time: customer research, design, product management, not to mention general management and fundraising. He handled it all with poise and humility, and I would love to work with someone like Maxime again in the future.
Tanja Lau
Founder of Product Academy
Maxime was enrolled in our Product Academy mentoring program and I had the pleasure to review his work and experience his valuable contributions in class first-hand in sessions like Hypothesis-driven Product Management, Product Discovery, Stakeholder Management, Strategy and more. He combines an entrepreneurial mindset with a holistic product view and tops it off with exceptional empathy, strong personal values, proactive and reliable communication as well as humble leadership.
Yassine Gabsi
Senior Frontend Engineer at Deepset
I'm truly grateful to have worked alongside you. Your exceptional management (and design) skills have consistently shone through, and your unwavering support for the team has made a remarkable impact. Through challenging moments and tight deadlines, your dedication, commitment, and strong sense of ownership have been truly inspiring.
Loay Awad
Software Engineer II at Handshake
Maxime is exceptional on both technical and personal levels. His product management skills are outstanding. What sets Maxime apart is his ability to balance his own vision with inputs from other team members, swiftly incorporating the best ideas to steer the product in the right direction. He possesses a natural leadership mindset and an excellent grasp of product strategy. Maxime is proactive and an excellent communicator, even while juggling multiple responsibilities, and he consistently delivers within tight deadlines. I would love to work with Maxime again!
What people say about me
Andrew Martinez-Fonts
Product leader; former eBay, Yelp, Contentful, Honeysales
I had the pleasure of working with Maxime as his mentor while he was enrolled in Product Academy's LevelUp program. At the time, Maxime was in the thick of finding product-market fit for alocalo, and I was impressed by his tenacity and commitment to the opportunity that he had found in the market. As a founder, he was wearing many hats at the time: customer research, design, product management, not to mention general management and fundraising. He handled it all with poise and humility, and I would love to work with someone like Maxime again in the future.
Tanja Lau
Founder of Product Academy
Maxime was enrolled in our Product Academy mentoring program and I had the pleasure to review his work and experience his valuable contributions in class first-hand in sessions like Hypothesis-driven Product Management, Product Discovery, Stakeholder Management, Strategy and more. He combines an entrepreneurial mindset with a holistic product view and tops it off with exceptional empathy, strong personal values, proactive and reliable communication as well as humble leadership.
Yassine Gabsi
Senior Frontend Engineer at Deepset
I'm truly grateful to have worked alongside you. Your exceptional management (and design) skills have consistently shone through, and your unwavering support for the team has made a remarkable impact. Through challenging moments and tight deadlines, your dedication, commitment, and strong sense of ownership have been truly inspiring.
Loay Awad
Software Engineer II at Handshake
Maxime is exceptional on both technical and personal levels. His product management skills are outstanding. What sets Maxime apart is his ability to balance his own vision with inputs from other team members, swiftly incorporating the best ideas to steer the product in the right direction. He possesses a natural leadership mindset and an excellent grasp of product strategy. Maxime is proactive and an excellent communicator, even while juggling multiple responsibilities, and he consistently delivers within tight deadlines. I would love to work with Maxime again!
What people say about me
Andrew Martinez-Fonts
Product leader; former eBay, Yelp, Contentful, Honeysales
I had the pleasure of working with Maxime as his mentor while he was enrolled in Product Academy's LevelUp program. At the time, Maxime was in the thick of finding product-market fit for alocalo, and I was impressed by his tenacity and commitment to the opportunity that he had found in the market. As a founder, he was wearing many hats at the time: customer research, design, product management, not to mention general management and fundraising. He handled it all with poise and humility, and I would love to work with someone like Maxime again in the future.
Tanja Lau
Founder of Product Academy
Maxime was enrolled in our Product Academy mentoring program and I had the pleasure to review his work and experience his valuable contributions in class first-hand in sessions like Hypothesis-driven Product Management, Product Discovery, Stakeholder Management, Strategy and more. He combines an entrepreneurial mindset with a holistic product view and tops it off with exceptional empathy, strong personal values, proactive and reliable communication as well as humble leadership.
Yassine Gabsi
Senior Frontend Engineer at Deepset
I'm truly grateful to have worked alongside you. Your exceptional management (and design) skills have consistently shone through, and your unwavering support for the team has made a remarkable impact. Through challenging moments and tight deadlines, your dedication, commitment, and strong sense of ownership have been truly inspiring.
Loay Awad
Software Engineer II at Handshake
Maxime is exceptional on both technical and personal levels. His product management skills are outstanding. What sets Maxime apart is his ability to balance his own vision with inputs from other team members, swiftly incorporating the best ideas to steer the product in the right direction. He possesses a natural leadership mindset and an excellent grasp of product strategy. Maxime is proactive and an excellent communicator, even while juggling multiple responsibilities, and he consistently delivers within tight deadlines. I would love to work with Maxime again!
How I work
I
I understand before I plan.
When I land on a new project, I go wide before I go deep. Industry patterns, user pain points, technical architecture, third-party dependencies. I read the codebase, draw diagrams for myself, and map what influences what. Only once I have a solid picture of the full system do I touch the product scope. Skipping that step is where most problems start.
II
I treat assumptions as risks, not as a starting point.
Before recommending anything, I map what we think we know versus what we've actually validated. The most dangerous assumptions are the ones nobody has named yet. I identify those early, design ways to test them cheaply, and use what I find to shape the scope. Sometimes the brief changes. That's not a problem, that's the work doing what it's supposed to do.
III
Good product work feels like something the user has never had before.
The products I'm proudest of aren't always the ones with the best numbers. They're the ones where a user encounters something that genuinely helps them in a way nothing else did. When that happens, you usually don't have to chase the metrics. They follow.
How I work
I
I understand before I plan.
When I land on a new project, I go wide before I go deep. Industry patterns, user pain points, technical architecture, third-party dependencies. I read the codebase, draw diagrams for myself, and map what influences what. Only once I have a solid picture of the full system do I touch the product scope. Skipping that step is where most problems start.
II
I treat assumptions as risks, not as a starting point.
Before recommending anything, I map what we think we know versus what we've actually validated. The most dangerous assumptions are the ones nobody has named yet. I identify those early, design ways to test them cheaply, and use what I find to shape the scope. Sometimes the brief changes. That's not a problem, that's the work doing what it's supposed to do.
III
Good product work feels like something the user has never had before.
The products I'm proudest of aren't always the ones with the best numbers. They're the ones where a user encounters something that genuinely helps them in a way nothing else did. When that happens, you usually don't have to chase the metrics. They follow.
How I work
I
I understand before I plan.
When I land on a new project, I go wide before I go deep. Industry patterns, user pain points, technical architecture, third-party dependencies. I read the codebase, draw diagrams for myself, and map what influences what. Only once I have a solid picture of the full system do I touch the product scope. Skipping that step is where most problems start.
II
I treat assumptions as risks, not as a starting point.
Before recommending anything, I map what we think we know versus what we've actually validated. The most dangerous assumptions are the ones nobody has named yet. I identify those early, design ways to test them cheaply, and use what I find to shape the scope. Sometimes the brief changes. That's not a problem, that's the work doing what it's supposed to do.
III
Good product work feels like something the user has never had before.
The products I'm proudest of aren't always the ones with the best numbers. They're the ones where a user encounters something that genuinely helps them in a way nothing else did. When that happens, you usually don't have to chase the metrics. They follow.
How I work
I
I understand before I plan.
When I land on a new project, I go wide before I go deep. Industry patterns, user pain points, technical architecture, third-party dependencies. I read the codebase, draw diagrams for myself, and map what influences what. Only once I have a solid picture of the full system do I touch the product scope. Skipping that step is where most problems start.
II
I treat assumptions as risks, not as a starting point.
Before recommending anything, I map what we think we know versus what we've actually validated. The most dangerous assumptions are the ones nobody has named yet. I identify those early, design ways to test them cheaply, and use what I find to shape the scope. Sometimes the brief changes. That's not a problem, that's the work doing what it's supposed to do.
III
Good product work feels like something the user has never had before.
The products I'm proudest of aren't always the ones with the best numbers. They're the ones where a user encounters something that genuinely helps them in a way nothing else did. When that happens, you usually don't have to chase the metrics. They follow.
Product Intelligence Atlas
Applied thinking on product and AI, from someone doing the work.
I started the Atlas as a place to put things I didn't want to lose. Notes from courses, prompts that actually worked, observations from client work that felt worth writing down. It grew from there. Now it's where I think through AI and product management in public: what I'm learning, what I'm building, what I think is worth paying attention to.
Redcare: Using hypothesis-driven analytics to rethink how a pharmacy app earns attention.
Case studies
Aeon: Turning a preventive health concept into a product people trust with their bodies.
Case studies
A Claude skill for hypothesis-driven product decisions
AI Workflows
When the user becomes the competition
Thinking
Product Intelligence Atlas
Applied thinking on product and AI, from someone doing the work.
I started the Atlas as a place to put things I didn't want to lose. Notes from courses, prompts that actually worked, observations from client work that felt worth writing down. It grew from there. Now it's where I think through AI and product management in public: what I'm learning, what I'm building, what I think is worth paying attention to.
Redcare: Using hypothesis-driven analytics to rethink how a pharmacy app earns attention.
Case studies
Aeon: Turning a preventive health concept into a product people trust with their bodies.
Case studies
A Claude skill for hypothesis-driven product decisions
AI Workflows
When the user becomes the competition
Thinking
Product Intelligence Atlas
Applied thinking on product and AI, from someone doing the work.
I started the Atlas as a place to put things I didn't want to lose. Notes from courses, prompts that actually worked, observations from client work that felt worth writing down. It grew from there. Now it's where I think through AI and product management in public: what I'm learning, what I'm building, what I think is worth paying attention to.
Redcare: Using hypothesis-driven analytics to rethink how a pharmacy app earns attention.
Case studies
Aeon: Turning a preventive health concept into a product people trust with their bodies.
Case studies
A Claude skill for hypothesis-driven product decisions
AI Workflows
When the user becomes the competition
Thinking
Product Intelligence Atlas
Applied thinking on product and AI, from someone doing the work.
I started the Atlas as a place to put things I didn't want to lose. Notes from courses, prompts that actually worked, observations from client work that felt worth writing down. It grew from there. Now it's where I think through AI and product management in public: what I'm learning, what I'm building, what I think is worth paying attention to.
Redcare: Using hypothesis-driven analytics to rethink how a pharmacy app earns attention.
Case studies
Aeon: Turning a preventive health concept into a product people trust with their bodies.
Case studies
A Claude skill for hypothesis-driven product decisions
AI Workflows
When the user becomes the competition
Thinking
Continuous Learning
Apr 2026
Advanced Claude Code for Product Managers
Founding class · 100 selected from 700 applicants · Carl Vellotti
Selective advanced program covering AI-powered PM workflows inside Claude Code: context management, sub-agent orchestration, custom skills, MCP integrations, AI-assisted research and discovery, data analysis, PRD automation, and building a personal PM operating system with LLM tooling. Includes Figma-to-code prototyping and a Skills Masterclass.
Claude Code
Sub-agent orchestration
MCP integrations
Custom skills
AI-assisted research
PRD automation
Figma-to-code
LLM workflows
In Progress
Jan 2026
Machine Learning Foundations for Product Managers
Duke University · Coursera
Specialization covering ML foundations for PMs: supervised and unsupervised learning, regression, deep learning, NLP, convolutional neural networks, and model evaluation. Completed hands-on project training and improving an ML model. Core course taught by Jon Reifschneider, rated 4.7 by 70,000+ learners.
Supervised learning
Unsupervised learning
Deep learning
NLP
Model evaluation
Regression analysis
Neural networks
ML model training
Completed
Jun 2025
LevelUp! Product Leadership
Product Academy · Zürich, Switzerland
Four-month program on product strategy, team scaling, hiring, and building learning organizations. Combined offsites, expert workshops, and one-on-one mentoring.
Product strategy
Team scaling
Hiring
Product operations
Learning organizations
Executive communication
Completed
May 2023
LevelUp! Product Management
Product Academy · Zürich, Switzerland
Five-month program covering discovery, hypothesis-driven PM, outcome-based roadmapping, product-market fit, analytics, and AI in product work.
Product discovery
Hypothesis-driven PM
Outcome-based roadmapping
Product-market fit
User research
Product analytics
Lateral leadership
Completed
Continuous Learning
Advanced Claude Code for Product Managers
Founding class · 100 selected from 700 applicants · Carl Vellotti
Selective advanced program covering AI-powered PM workflows inside Claude Code: context management, sub-agent orchestration, custom skills, MCP integrations, AI-assisted research and discovery, data analysis, PRD automation, and building a personal PM operating system with LLM tooling. Includes Figma-to-code prototyping and a Skills Masterclass.
Claude Code
Sub-agent orchestration
MCP integrations
Custom skills
AI-assisted research
PRD automation
Figma-to-code
LLM workflows
In Progress
Machine Learning Foundations for Product Managers
Duke University · Coursera
Specialization covering ML foundations for PMs: supervised and unsupervised learning, regression, deep learning, NLP, convolutional neural networks, and model evaluation. Completed hands-on project training and improving an ML model. Core course taught by Jon Reifschneider, rated 4.7 by 70,000+ learners.
Supervised learning
Unsupervised learning
Deep learning
NLP
Model evaluation
Regression analysis
Neural networks
ML model training
Completed
LevelUp! Product Leadership
Product Academy · Zürich, Switzerland
Four-month program on product strategy, team scaling, hiring, and building learning organizations. Combined offsites, expert workshops, and one-on-one mentoring.
Product strategy
Team scaling
Hiring
Product operations
Learning organizations
Executive communication
Completed
LevelUp! Product Management
Product Academy · Zürich, Switzerland
Five-month program covering discovery, hypothesis-driven PM, outcome-based roadmapping, product-market fit, analytics, and AI in product work.
Product discovery
Hypothesis-driven PM
Outcome-based roadmapping
Product-market fit
User research
Product analytics
Lateral leadership
Completed
Continuous Learning
Apr 2026
Advanced Claude Code
for Product Managers
Founding class · 100 selected from 700 applicants · Carl Vellotti
Selective advanced program covering AI-powered PM workflows inside Claude Code: context management, sub-agent orchestration, custom skills, MCP integrations, AI-assisted research and discovery, data analysis, PRD automation, and building a personal PM operating system with LLM tooling. Includes Figma-to-code prototyping and a Skills Masterclass.
Claude Code
Sub-agent orchestration
MCP integrations
Custom skills
AI-assisted research
PRD automation
Figma-to-code
LLM workflows
In Progress
Jan 2026
Machine Learning
Foundations for Product Managers
Duke University · Coursera
Specialization covering ML foundations for PMs: supervised and unsupervised learning, regression, deep learning, NLP, convolutional neural networks, and model evaluation. Completed hands-on project training and improving an ML model. Core course taught by Jon Reifschneider, rated 4.7 by 70,000+ learners.
Supervised learning
Unsupervised learning
Deep learning
NLP
Model evaluation
Regression analysis
Neural networks
ML model training
Completed
Jun 2025
LevelUp! Product
Leadership
Product Academy · Zürich, Switzerland
Four-month program on product strategy, team scaling, hiring, and building learning organizations. Combined offsites, expert workshops, and one-on-one mentoring.
Product strategy
Team scaling
Hiring
Product operations
Learning organizations
Executive communication
Completed
May 2023
LevelUp! Product
Management
Product Academy · Zürich, Switzerland
Five-month program covering discovery, hypothesis-driven PM, outcome-based roadmapping, product-market fit, analytics, and AI in product work.
Product discovery
Hypothesis-driven PM
Outcome-based roadmapping
Product-market fit
User research
Product analytics
Lateral leadership
Completed
Continuous Learning
Apr 2026
Advanced Claude Code for Product Managers
Founding class · 100 selected from 700 applicants · Carl Vellotti
Selective advanced program covering AI-powered PM workflows inside Claude Code: context management, sub-agent orchestration, custom skills, MCP integrations, AI-assisted research and discovery, data analysis, PRD automation, and building a personal PM operating system with LLM tooling. Includes Figma-to-code prototyping and a Skills Masterclass.
Claude Code
Sub-agent orchestration
MCP integrations
Custom skills
AI-assisted research
PRD automation
Figma-to-code
LLM workflows
In Progress
Jan 2026
Machine Learning Foundations for Product Managers
Duke University · Coursera
Specialization covering ML foundations for PMs: supervised and unsupervised learning, regression, deep learning, NLP, convolutional neural networks, and model evaluation. Completed hands-on project training and improving an ML model. Core course taught by Jon Reifschneider, rated 4.7 by 70,000+ learners.
Supervised learning
Unsupervised learning
Deep learning
NLP
Model evaluation
Regression analysis
Neural networks
ML model training
Completed
Jun 2025
LevelUp! Product Leadership
Product Academy · Zürich, Switzerland
Four-month program on product strategy, team scaling, hiring, and building learning organizations. Combined offsites, expert workshops, and one-on-one mentoring.
Product strategy
Team scaling
Hiring
Product operations
Learning organizations
Executive communication
Completed
May 2023
LevelUp! Product Management
Product Academy · Zürich, Switzerland
Five-month program covering discovery, hypothesis-driven PM, outcome-based roadmapping, product-market fit, analytics, and AI in product work.
Product discovery
Hypothesis-driven PM
Outcome-based roadmapping
Product-market fit
User research
Product analytics
Lateral leadership
Completed
Let's talk product
Maxime John · AI-fluent PM · Based in Germany, relocating to Portland, OR
Open to PM roles at US companies, remote now and on-site in Portland, OR from Q4 2026.
Job conversations, project ideas, and good product discussions all welcome.
Let's talk product
Maxime John · AI-fluent PM · Based in Germany, relocating to Portland, OR
Open to PM roles at US companies, remote now and on-site in Portland, OR from Q4 2026.
Job conversations, project ideas, and good product discussions all welcome.
Let's talk product
Maxime John · AI-fluent PM · Based in Germany, relocating to Portland, OR
Open to PM roles at US companies, remote now and on-site in Portland, OR from Q4 2026.
Job conversations, project ideas, and good product discussions all welcome.
Let's talk product
Maxime John · AI-fluent PM · Based in Germany, relocating to Portland, OR
Open to PM roles at US companies, remote now and on-site in Portland, OR from Q4 2026.
Job conversations, project ideas, and good product discussions all welcome.