Case study
Workflow Mapping For Construction Operations
I narrowed a broad procurement idea into a bounded subcontractor-activation workflow with concrete states, supported claims, and human decision authority.
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Proof of What I Build for Product Management
For PM recruiters and hiring managers: real business pressure, what I built in response, and what changed because it existed. The full proof library is organized by product management responsibility: ownership, roadmap, discovery, workflow mapping, QA, customer-facing AI workflows, live-use readiness, team cadence, product surfaces, and market judgment.
PM proof
Organized by product management responsibility
Every case study is public, but the page starts from the responsibility a product-management evaluator is likely trying to inspect, including whether I can help customers move from messy workflows to confident live use.
PM responsibility
Customer deployments and live-use readiness
Customer-facing AI workflows, workflow design, QA, customer confidence, stakeholder communication, and release judgment before live use.
Case study
QA And Release Readiness For AI Workflows
I owned product-side QA judgment by keeping AI workflow claims tied to supported scope, evidence links, persona fit, and human final authority.
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Turning Validation Work Into A Repeatable Playbook
I turned a one-off validation push into an auditable playbook where an AI agent could do structured validation work while I stayed PM and human in the loop.
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Pilot Demos And Go-Live Learning
I treated SmartApply pilot demos and go-live as a product-learning loop, not sales theater.
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Customer Intelligence And KPI Adoption
I designed discovery KPIs so Pier's customer conversations measured learning velocity instead of outreach volume.
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Cross-Functional Translation Across Product, Customer, And Capital
I kept product evidence, customer signal, validation work, and capital-facing decisions in one operating loop.
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Product ownership and roadmap
Sole PM ownership, roadmap shaping, backlog tradeoffs, and prioritization under constraint.
Case study
Sole Product Ownership In A Founder Role
I owned the product-management function around Pier inside a small founder team: discovery, roadmap, prototypes, QA, rituals, demos, and engineering-priority translation.
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Roadmap Shaping Through Product Evidence
I shaped roadmap direction by turning Pier's January 2026 launch uncertainty into evidence requests around SMB positioning, candidate value, website copy, and MVP readiness.
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Backlog Management Under Runway Pressure
I managed Pier's backlog by tying work to decision value: product evidence, customer learning, pilot readiness, value-map truth, and commitment confidence.
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Building a Competitor Model for Business Decisions
I built a competitor model that turned a list of companies into a clearer view of who we were really competing with, how they differed from us and from each other, and what those differences meant for our business.
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Discovery and customer learning
User interviews, customer intelligence, KPI design, pilot demos, feedback loops, and partner learning.
Case study
User Interviews To Engineering Priorities
I turned customer conversations into structured product intelligence that could change requirements, value maps, launch messages, and engineering priorities.
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Customer Intelligence And KPI Adoption
I designed discovery KPIs so Pier's customer conversations measured learning velocity instead of outreach volume.
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Pilot Demos And Go-Live Learning
I treated SmartApply pilot demos and go-live as a product-learning loop, not sales theater.
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Turning Cold Leads Into a Smarter Job-Application Platform
I turned cold leads into pilot partners before we had a demo, then helped develop a smarter job-application platform from v0 voice-interview mockups into a tested v1 product based on the questions and feedback we got from customers.
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Building a CRM and Automation Layer
I built a CRM and automation layer so the team could keep up with a growing volume of meetings, leads, names, and follow-ups without relying solely on memory and scattered notes.
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Workflow mapping and AI release readiness
Workflow mapping, QA, release-readiness judgment, agent-assisted validation, and human review gates.
Case study
Workflow Mapping For Construction Operations
I narrowed a broad procurement idea into a bounded subcontractor-activation workflow with concrete states, supported claims, and human decision authority.
Read case studyCase study
QA And Release Readiness For AI Workflows
I owned product-side QA judgment by keeping AI workflow claims tied to supported scope, evidence links, persona fit, and human final authority.
Read case studyCase study
Turning Validation Work Into A Repeatable Playbook
I turned a one-off validation push into an auditable playbook where an AI agent could do structured validation work while I stayed PM and human in the loop.
Read case studyCase study
Building a Human-in-the-Loop Procurement Validation Test
I built a human-in-the-loop agent workflow that ran a procurement market validation test and proved a reusable way to test future customer and market questions.
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Building a Second Brain Workflow
I built a second brain workflow that turns my thoughts into a searchable, reviewable queue for decisions and action.
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Execution cadence and cross-functional translation
Agile rituals, Linear ownership, founder-team translation, stakeholder communication, and source-of-truth updates.
Case study
Daily Agile Rituals And Team Coordination
I owned the operating cadence around Pier: Linear hygiene, standups, mid-days, end-of-days, planning closure, and written owner decisions.
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Cross-Functional Translation Across Product, Customer, And Capital
I kept product evidence, customer signal, validation work, and capital-facing decisions in one operating loop.
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Automating an Entire Investor Relations Workstream
I built an n8n workflow that turned investor updates from a multi-day manual process into a one-hour review-and-approve loop.
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Product surfaces and market depth
Prototypes, demo surfaces, marketing website code ownership, market validation, commercial analysis, and capital-facing proof.
Case study
Prototyping For Demos And Feature Prioritization
I used prototypes, website surfaces, and demo paths to make Pier's product direction concrete enough for customers, partners, and engineers to evaluate.
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Marketing Website As A Product Surface
I owned and shipped production code for Pier's marketing website while treating pier.so as a product-learning surface.
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Campaign Attribution Tool
I turned repeated campaign link creation into a small internal tool so attribution stayed consistent before reporting depended on it.
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Structuring a 48-Hour Public-Sector Bid
We had roughly 48 hours to structure and submit a custom public-sector bid for a 15,000-application program, so I used AI-agent workflows and git-managed business docs to help move the work from concept to submission.
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