Technical Product Manager · San Francisco

I lead enterprise API products.And build AI workflows.

At Swish Analytics, I set priorities and lead real-time API products from customer requirements through production. Alongside my role at Swish, I built Agency Edge, turning customer research and review workflows into reusable AI software.

30+ enterprise API product releases · AI software built for 3 paying organizations

Selected work

Enterprise product ownership and hands-on AI implementation.

Swish Analytics

Taking live college-football APIs from roadmap priority to operator adoption.

I own NBA and college-football roadmaps. For CFB, I opened integration before live markets were ready, kept the API contract stable, and expanded coverage around customer launch requirements. Multiple major operators are now live. The portfolio also shows NBA data, release and availability decisions.

Read the NBA release decision
Swish Analytics cover: enterprise APIs from roadmap to adoption, with selected CFB program milestones from 2025 to 2026.
Selected CFB milestones. Operators launched at different stages; alternate lines were a prerequisite for one operator.

Agency Edge

Turning scattered relationship data into reviewed, usable customer records.

I personally built the research and review workflow for a photography agency, then adapted the shared application for two schools. Staff could compare proposed information with existing records, check the person behind a match, and use destination rules or an import-ready workbook to control what changed.

Explore the customer workflow
Agency Edge’s field-mapping interface with inbound, outbound and enrichment controls. The selected overwrite rule is Sync if CRM is blank.
Agency Edge · Actual application screenshot, cropped detail

And1Analytics → Monster Roster

One venture, two product chapters

When shared recommendations split winnings, I changed the product.

I co-founded a paid lineup-recommendation business in high school. When identical recommendations caused customers to share winnings, I led the team toward a guided optimizer that preserved algorithmic advice while giving users more choice. Across the venture, we acquired 1,000+ paying customers and were selected for the Philadelphia 76ers Innovation Lab.

Read the founder story How it started
Dylan Elder speaking into a handheld microphone

Based in San Francisco

A founder’s perspective on product.

I started as a founder, learning how a product changes when more people depend on it. After three years away from Georgetown building the venture, I returned in 2019 and graduated with a degree in Psychology in 2022. Today I bring that customer perspective to enterprise product management at Swish and the software I build.

I want software to absorb complexity, so people can provide intent, context, and judgment while the product handles the underlying work. That means preserving an API contract, making an uncertain match reviewable, or giving a customer more choice without asking them to start from scratch.

Let’s talk.

I’m interested in product roles that combine technical depth, close customer contact, and ownership from discovery through adoption.