I lead product.
I also build it.

An execution-oriented product executive — comfortable from strategy and P&L down to the actual build.

See what I've built How I work
Samantha Albers

I'm Samantha — a product executive with fifteen years building B2B platforms, marketplaces, and AI/ML products, from enterprise SaaS to home-healthcare operations at national scale. I've owned P&L, partnered with finance, and led the product, design, operations, and programs behind it — both hands-on and leading a team.

The throughline: find the real problem, decide what to do, and build it. Lately that instinct has followed me home — I'm a parent of two young kids, and I've been building agents to take the mental load off my own plate.

Here's what that looks like ↓

How I operate

I set the strategy, then I execute it.

Across the whole thing — not just one slice of it.

Strategy & P&LI own the number, not just the roadmap, and make the trade-offs a P&L actually forces.
Product & designLed both functions — vision to shipped, across B2B platforms, marketplaces, and AI.
Operations & programsThe operational backbone — product operations and the programs that keep a team shipping predictably.
Finance partnershipFluent with finance; I plan, model, and defend resources like an owner.
Hands-on & at scaleI'll build it myself when that's what's needed, and build and lead the team when that's what scales.

What I'm building

I build agents to take the mental load off my own plate.

Running a household with two small kids is a sprawling, invisible operations job — the planning, the re-planning, the constant small decisions no one sees. Instead of downloading one more app to manage it, I started building agents to actually handle pieces of it. Two so far, both born from my own day-to-day:

A meal-planning copilot

For parents of picky eaters — it learns one child's tastes over time, plans the week around real constraints, and adapts when things change. Built end to end: product, agent design, evals, live testing.

Meal-planning copilot: the morning plan, a swap suggestion, and the week view

A sleep-training assistant

For parents in the newborn fog — it turns scattered night wakings and shifting schedules into a clear nightly plan, and adjusts as the baby grows.

Sleep-training assistant: tonight's plan, a late-night resettle, and the morning recap
A decision worth showing. (from the meal-planning copilot) The hardest question wasn't technical — it was how the agent decides what to say to a parent who's already maxed out. A script (confirm, then suggest, then ask) gets brittle and chatty, exactly wrong for someone running on no sleep. So I scrapped it for a doctrine: a priority hierarchy the agent reasons against every turn — safety first, then the job done in one line, advice only when it truly earns the interruption. I'd rather give a system good judgment than a list of rules — and go build it to find out if I'm right.

Why it matters. It's the same way I work professionally — find the real problem, decide, build — here pointed at my own family. That I built these for myself is the point, not a footnote.

Tools I've built

I run my own work on agents I've built.

I don't just lead AI products — I use them to run my own work. A few of the tools I've built:

Chief of Staff agent

The chief of staff I never hired. It preps me for the day, reviews and triages my inbox, pulls the signal out of my meetings, folds my notes into the right place automatically, and drafts and posts on my behalf in Slack — so my attention goes to the decisions, not the overhead.

An AI team that builds with me

To build them, I built a small team of specialized agents — a builder, a reviewer, a UX critic — operating under a documented process I designed, with me as the product lead. The leverage isn't "AI writes code"; it's designing the system of work.

Where I've built

Fifteen years across SaaS, marketplaces, AI & healthcare.

Talent.comHonorOptoroEventbriteJ.P. MorganCowboy VenturesHarvard Business SchoolMiddlebury