Technical Product Manager + hands-on AI builder

I lead technical
products.
I build with AI.

At Swish Analytics, I own NBA and college-football product priorities. Alongside that, I build AI-backed software for real customer workflows.

Selected work / 01—03

The decisions behind the product.

Swish Analytics

A live product is only useful when customers can launch it.

From a missing college-football capability to the shared APIs and supporting features a major operator needed to go live.

Product ownership · APIs · Enterprise adoption

Read the product story

Agency Edge

Finding the data was just the beginning.

I built an AI-backed application for relationship data, then worked through the reviews and delivery details that made it useful to real customers.

AI product · Personal implementation · Customer delivery

Explore the application & demo

And1Analytics → Monster Roster

The prediction worked. The product needed to change.

One recommendation sent to everyone created a product problem. We moved toward an algorithm-guided core with room for users to make the roster their own.

Consumer product · Paid demand · Team leadership

Read the founder story

How I work

The details are part of the strategy.

01 / Start with the work

Understand the task behind the request.

The useful product is often hiding in the spreadsheet, workaround, or repeated decision someone makes every day.

02 / Make it concrete

Get close enough to build and test.

I move between product framing and implementation. A clear API contract or a working flow can sharpen the decision.

03 / Follow through

A release is a step toward an outcome.

I care about the integration, the review, and the last delivery detail that lets someone actually use what we shipped.

Dylan Elder speaking into a handheld microphoneBased in San Francisco, CA

A little about me

I like the space between a good idea and a useful product.

I’m Dylan, a product manager and builder based in San Francisco. My work has taken me from founding a consumer sports product to owning enterprise product priorities at Swish Analytics.

Alongside Swish, I build Agency Edge part-time. Working directly on the application keeps me close to the tradeoffs that sit underneath a product decision: what the data can support, what needs a human review, and what it takes to deliver.

I studied psychology at Georgetown. Across these chapters, I’m drawn to understanding what people are trying to do—and building something that helps them do it.

More about my experience

Let’s make something useful

Good products start
with a conversation.

Interested in building useful AI products with thoughtful teams.