Kyle Struthers

Hi, I'm
Kyle Struthers

I work on software and IoT devices for specialized contractors. Before that, I worked on baby monitors, fitness apps, smart shoes, and cardiac devices.

Selected Work

Three products I've worked on and what changed along the way.

Current·Feb 2023 – Present

Form Intel

Making equipment issues in inspection reports visible.

Contractor operations
N° 01Ribbiot logo

Finding the field reports that need attention.

Form Intel. Crane crews submit inspections and daily reports, but the office doesn't have time to read every one. Form Intel uses AI to flag entries that may need attention and summarize why. We shipped it in September 2026.

My part

I built the demo with an engineer, then owned the requirements, design, evaluations, and cost limits for the production feature. Engineering built it. I narrowed the scope to flagging notable entries and summarizing those, rather than generating a report for every submission.

More about my work at Ribbiot

The problem

We could already email every form to the office. Admins told us they couldn’t go through all of them. They wanted to know which ones needed a closer look.

What we tested

I built the demo with an engineer using real forms. I then built evaluations so we could compare models on what they flagged and how much they cost to run. Defining what deserved attention was part of defining the product.

What I narrowed

I scoped the production feature to deciding whether a submission contained something notable, then generating a summary only when it did. That kept the work focused on the review list admins had asked for and put a limit on how much analysis we needed to run.

What we’re learning

The inspections are surfacing existing equipment issues that crews already know about and work around. At Ribbiot, we hadn’t had a clear view of how often those issues were being recorded. Form Intel is making that information visible.

What shipped

Form Intel went live in September 2026. I owned the requirements, design, evaluations, scope, and cost limits. Engineering owned the production implementation. Admins can review the alerts and give feedback when one isn’t useful.

IoTAISaaSIndustrial
Past work·Sep 2021 – Feb 2023
+50
NPS points, from 10 to 60 in one year
Baby monitors
N° 02Owlet Baby Care logo

A baby monitor parents check in the middle of the night.

Owlet Dream Sock. I joined Owlet just before the FDA warning letter. We had to change what the sock could show parents and rebuild the app around sleep tracking and wellness alerts. NPS went from 10 to 60 within a year. Dream Sock received FDA authorization in November 2023, after my time there.

My part

Leadership and legal set the wellness direction. My job was turning that direction into a working product with firmware, mobile, and design teams, including the alerts and what parents saw in the app.

More about my work at Owlet Baby Care

What changed

After the 2021 FDA warning letter, we had to change what the sock could show parents. The wellness product needed to be useful with different readings and alerts. That meant changes across the device, firmware, and app.

What I worked on

I worked on human factors testing. We had to cover the risks identified in the failure mode and effects analysis (FMEA). Part of that work was getting help-center content in place to address those risks.

One alert decision

I also worked with our medical advisor, a pediatric electrophysiologist, to lower the heart-rate alert threshold from 60 to 50 beats per minute. The goal was to reduce false-positive alerts while maintaining safety.

What I took from it

Parents wanted peace of mind. The readings were one way to get there. When those readings changed, we had to think about what else would help, including understanding their baby’s sleep. That shaped the work on sleep tracking and wellness alerts.

The result, and the timeline

NPS went from 10 to 60 within a year. That was a team outcome across the product transition. I left in February 2023. Dream Sock received FDA authorization in November 2023, after my time there.

Health TechWearableRegulated
Past work·2016 – 2021
1.25M+
Connected footwear activations
Fitness apps and smart shoes
N° 03Under Armour logo

Running apps and shoes that give you feedback on your form.

MapMyRun & Connected Footwear. At Under Armour, I worked on MapMyRun and connected footwear. Sensors in the shoes fed running data into the app, where we used it to coach runners on their form. Runners using the coaching went 7% farther and 3% faster. The connected footwear program reached more than 1.25 million device activations.

My part

I owned the MapMyRun roadmap, including connected footwear and coaching on iOS and Android. I worked with design and engineering on turning the shoe data into feedback runners could use during a run.

FitnessConnected DevicesMobile
Personal project · iOS app

Cookfor

I wanted help deciding what to make with the food I already had. So I built an app for it.

Tell Cookfor what’s in your fridge and it suggests two or three things to cook.

What I built myself

I built the app with Expo, Cursor, and Claude, and published it on iOS.

About Me

I studied biomedical engineering at Cal Poly and started at St. Jude Medical, supporting physicians during cardiac ablations. I moved into software through customer support at Under Armour Connected Fitness, then into product. That work took me from running apps and connected footwear to baby monitors at Owlet, and now Ribbiot.

In the cath lab, I helped physicians interpret cardiac device data. At Under Armour, I worked on using shoe sensor data to coach runners. At Owlet, I worked on what parents saw in the app when checking on their baby. The products changed, but understanding what someone needed from the information stayed part of the work.

I live in Austin. Outside work, I run, race triathlons, and build things I want to use. One of those is Cookfor, an app that helps me figure out what to cook with what's already in the fridge.

Where I've Worked

Ribbiot logo
Owlet Baby Care logo
Under Armour logo
St. Jude Medical logo

Location

Austin, TX

Experience

15+ years

Education

BS + MS, Biomedical Engineering

Cal Poly, San Luis Obispo, 2011

Read my thesis

Contact Me

Work Experience

Ribbiot

Remote

  1. Principal Product Manager

    Feb 2023 – Present
    • I own the software product, from the customer app to the data model behind it. That includes jobs, equipment, crews, forms, quoting, and invoicing.
    • We shipped Form Intel, which uses AI to flag and summarize field reports that may need attention. I owned the requirements, design, model evaluations, and cost limits.
    More about this role: Principal Product Manager at Ribbiot
    • I shipped an AI PDF-to-form builder with the team that turns existing documents into editable forms and cuts setup time by roughly 80%.
    • I built an internal AI tool to summarize and search the customer calls we think are important, with more added every day. It helped us spot recurring problems, including the need for accounting integrations.
    • I built an internal workflow using Cursor and MCP connections to turn research and product context into specs, tickets, help docs, and TestRail test cases.
    • I work with hardware engineers to bring telematics and sensor data into the software, so customers can see what their equipment is doing.
    • I built our product analytics from scratch to track adoption and feature usage, then use that data alongside customer calls to decide what to work on next.
    • I work with two engineering teams, defining the customer problem, requirements, and acceptance criteria while engineers own the implementation and task breakdown.
    ~80% less form setup time

Owlet Baby Care

Remote

  1. Senior Product Manager → Principal Product Manager

    Sep 2021 – Feb 2023
    • I owned the sock product roadmap, working across the wearable, firmware, and iOS and Android apps.
    • During the transition to Dream Sock, I worked with engineering and design on changes to the alerts and how we explained them to parents.
    More about this role: Senior Product Manager → Principal Product Manager at Owlet Baby Care
    • I coordinated software and firmware work for the medical-device submission, making sure the software met requirements and working through the risk-analysis items to closure.
    • We tested with parents to understand what they needed from the app. I also joined the human factors team on site for usability testing.
    NPS 10 → 60 in one year

Under Armour Connected Fitness

Austin, Texas

  1. Senior Product Manager

    July 2021 – Sep 2021
    • I worked with hardware, firmware, and mobile teams on the next generation of connected footwear.
    • I worked with design and engineering on improvements to running coaching, using data from the connected devices.
  2. Product Manager

    Jan 2019 – July 2021
    • I owned the MapMyRun roadmap for an app with more than 5 million monthly active users.
    • My scope included connected footwear, Apple Watch, Garmin, and the coaching platform on iOS and Android. I worked on both the existing shoes and the next generation.
    More about this role: Product Manager at Under Armour Connected Fitness
    • We launched real-time running coaching that helped runners go 7% farther and 3% faster.
    • I used Amplitude to study the subscription funnel and tested four versions of a trial offer during onboarding. The winning version increased new subscriptions by roughly 200%.
    5M+ monthly active users1.25M+ device activations~200% more new subscriptions
  3. Associate Product Manager

    Jan 2018 – Jan 2019
    • I rebuilt registration, login, and consent flows for GDPR, working with engineering, design, and legal on requirements by region. We rolled them out to all users before the deadline.
    • I owned the rebuild of the sponsored-challenges platform, working with distributed partners on a system we could reuse for future campaigns.
  4. Level II Escalations Specialist

    Nov 2016 – Jan 2018
    • I connected support data to user accounts and built dashboards so product and engineering could see recurring problems and feature requests.
    • I rebuilt the internal Zendesk tool the support team used to handle tickets.
    More about this role: Level II Escalations Specialist at Under Armour Connected Fitness
    • I also fixed web bugs and built features with a product manager. This was where I learned to ship code inside a product team.
  5. Customer Happiness Specialist

    Apr 2016 – Nov 2016
    • I handled customer support and improved help-center articles and response templates so people could get answers faster.
    • I built dashboards and weekly reports on support volume, recurring issues, and feature requests for product and engineering.

St. Jude Medical

Austin, Texas

  1. Clinical Specialist, Cardiac Rhythm Management

    Jan 2011 – Mar 2016
    • I supported physicians in cardiac cath and EP labs, operating the mapping system during ablations and troubleshooting implanted cardiac devices.
    • I analyzed device data for arrhythmias, lead problems, and programming issues, then worked through the findings with physicians.
    More about this role: Clinical Specialist, Cardiac Rhythm Management at St. Jude Medical
    • I worked on device upgrade programs and clinical education, contributing to 25% year-over-year profit growth in the region.
    • I earned my Certified Cardiac Device Specialist and Certified Electrophysiology Specialist credentials during this role.
    50+ hospital accounts1,000+ devices analyzed99% customer satisfaction

Tools

  • Amplitude
  • SQL
  • Tableau
  • PostHog
  • Jira
  • Linear
  • Confluence
  • OpenAI API / Anthropic API
  • Claude Code
  • Cowork
  • v0.dev
  • Cursor
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Projects

AI features we’ve shipped at Ribbiot and internal tools I’ve built for the work.

Form Intel

Ribbiot feature

Form Intel uses AI to read custom inspections and daily reports, flag entries that may need attention, and summarize why. We shipped it in September 2026.

Crews were submitting forms the office didn't have time to read. I defined which entries needed attention and built evaluations using real forms. Those examples became the standard for comparing models, alongside limits on running costs. I owned the requirements and review-flow design; engineering built the production feature.

Customer call search

Ribbiot internal tool

I built an AI tool that summarizes and searches the customer calls we think are important. We add more every day. It includes reports, a chat interface, and an MCP server so my other tools can use that context too.

I wanted to hear how customers described their problems, including the calls I couldn't join. Looking across the conversations helped us see how often accounting integrations came up.

PDF-to-form builder

Ribbiot feature

Upload a PDF and AI turns it into an editable form in Ribbiot. I shipped this with the team so customers could bring their existing paperwork into the system.

Rebuilding every form by hand was taking too long. The builder reduced setup time by roughly 80%.

AI product workflow

Ribbiot internal tool

I connected AI agents in Cursor to Linear, Notion, GitHub, Gong, Zendesk, and TestRail. They use customer research, designs, and code to draft specs, refine tickets, write help docs, and generate test cases.

I was copying the same information between tools all day. Now the agents can gather the context and draft the work, and I review and edit it before it goes to the team.

Off the Clock

My runs, rides, and swims from Strava. Each square is a day, and brighter squares mean more activity. Tap a highlighted day for the race or story behind it.

Get In Touch

The fastest way to reach me is email. LinkedIn works too.

kstruthe @ gmail.com

LinkedIn