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Loc Lam
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Headshot of Loc Lam smiling, wearing a light gray sweater

Open to full-time Product Manager & AI Growth roles

Most teams pull one growth lever. I build AI products that pull all three.

8+ years in product across fintech, healthcare, telecom, and services. Proven results in acquisition, LTV, and retention, built with Claude, n8n, Voice AI, and agentic workflows.

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What I solve

The three levers

  1. 01 / Customer Acquisition

    Win and convert high-intent users with lower CAC.

  2. 02 / Value Expansion (LTV)

    Maximize account value and monetization depth through personalized lifecycle systems.

  3. 03 / Retention & Stickiness

    Turn early users into long-term accounts via behavioral triggers and proactive support.

Proof

One lever at a time, measured

Lever 1 · Customer Acquisition

Triumph Financial

Freight fintech payments platform

Problem
New carriers stalled during onboarding, slowing adoption of a new payments platform.
What I did
Led product discovery and delivery; introduced AI-assisted invoice parsing and automated verification prototypes; aligned Sales, Marketing, and Operations on launch.
  • Product discovery
  • AI prototyping
  • GTM

Result

  • from 0to 22,000

    Active adoption (user accounts) · in 12 months

  • from 10%to 25%

    Onboarding conversion · in 3 months

  • +30%

    Day-1 adoption

Lever 2 · Value Expansion (LTV)

FirstLight

Healthcare Services & Operations

Problem
Inbound prospect inquiries went cold due to slow triage, while existing client care updates remained manual, generic, and unscaled.
What I did
Built autonomous lead nurture workflows via n8n and Claude that parsed intake transcripts into customized care proposals; deployed dynamic lifecycle touchpoints triggered by care milestones.
  • Lifecycle Automation
  • n8n
  • Claude
  • RAG Workflows

Result

  • from $9,000to $17,000

    Customer LTV · in 6 months

  • from 60%to 90%

    90-day retention · in 6 months

  • from 2%to 10%

    Lead-to-client conversion · in 3 months

Lever 3 · Retention & Stickiness

Triumph Financial

Freight fintech payments platform

Problem
Too many users didn't come back after their first visits.
What I did
Implemented contextual in-app behavioral analytics and event-driven triggers to reach users at the right moment.
  • Product analytics
  • Event-driven triggers
  • Engagement

Result

  • from 50%to 70%

    30-day returning users · in 6 months

Earlier at Transamerica: drove user engagement up 35% and partnered with data engineering on predictive customer segmentation behind acquisition initiatives that generated $75M in cumulative revenue.

Featured build · Working prototype

Inbound Lead Triage Agent

Problem
Sales reps lose buyer intent while they manually research and qualify each inbound lead.
What I built (n8n + Claude)
A webhook receives a new lead → Claude scores it 1–10 against an ideal customer profile, assigns a tier, writes a company summary and a personalized 3-sentence email → a JavaScript step validates the output → the record is logged to a Google Sheets pipeline.
Result
In testing, a form submission becomes a scored, tiered lead with a draft email in about 3.8 seconds.
What I'd do next
Add a live company-data lookup so summaries aren't limited to the model's own knowledge, and flag low-confidence scores for human review.
  1. Step 1WebhookNew lead arrives
  2. Step 2ClaudeScore 1–10, tier, summary, email
  3. Step 3ValidateJavaScript checks the output
  4. Step 4Google SheetsLogged to the pipeline
The n8n workflow. Click to enlarge.
Screenshot of the n8n workflow: Webhook node, Basic LLM Chain using the Anthropic Chat Model, a Code in JavaScript node, and an Append row in sheet node, connected left to right.
  • n8n
  • Claude API
  • Webhooks
  • JSON Schema
  • Workflow Automation

Process

How I work

  1. 1

    Discover

    Talk to users and find the metric that matters.

  2. 2

    Prototype with AI

    Build a working version in days, not months.

  3. 3

    Experiment

    Test with real users and measure the result.

  4. 4

    Scale

    Automate what works and roll it out.

Teaching & content

Sharing what I learn

About

Engineer turned product builder

I started in engineering (B.S. Electrical Engineering, UC San Diego) and moved into product. I've led products in fintech at Transamerica and Triumph Financial, and driven growth in healthcare services. Today I build with AI to move acquisition, customer value, and retention.

Let's talk about your team.

Resume available on request.