Mastering MedTech
Mastering MedTech

From Operational Chaos to Scalable Systems w. Graydon Hansen

01 January 2026 37:13 Melita Ball

Listen to episode

About this episode

Seventy-one percent turnover. Production excursions every 89 days. Low engagement across the board. Graydon Hansen walked into Abbott's largest medical device plant in China facing these challenges and turned it into a top performer over five and a half years. In this episode, Graydon shares the two pillars of operational turnaround: getting your hands into everything and changing the way your people think. You'll learn why leaders who stay off the shop floor miss critical insights, how converting from paper to electronic batch records transforms quality management, and why the biggest operational mistake startups make is not looking forward to where they want to be in five years. Graydon also breaks down the three A's of AI implementation (available, actionable, accurate data), why AI skepticism comes from limited understanding rather than real risk, and how to convince conservative quality teams that AI will help them work more effectively. If you think compliance and operational efficiency are competing priorities, this conversation will change your perspective entirely.

Timestamps:

00:00 - Introduction: From commercial fishing to running Abbott's China plant

03:00 - Why the troubled China plant attracted Graydon and what made it worth taking on

04:00 - Two pillars of operational turnaround: Hands-on leadership and changing mindsets

06:00 - The shop floor strategy: Why leaders must be visible every day

08:00 - Learning from Japan's discriminating consumer and fixing supplier quality

09:00 - Scaling operations: The five whys and asking why you can't add another shift

11:00 - What a 25-year-old startup looks like operationally (and why it's common)

13:00 - Converting paper systems to electronic while maintaining product quality

16:00 - Why compliance and operational success are the same thing, not competing priorities

18:00 - Three common misconceptions about AI in medtech

20:00 - The three A's: Available, actionable, accurate data for AI implementation

22:00 - Convincing conservative quality teams that AI helps them, not threatens them

26:00 - Handling marketplace skepticism about AI in medtech

29:00 - Why Google Drive is not the answer for quality management systems

32:00 - When startups should invest in digital systems (hint: from the very beginning)

34:00 - Rapid fire: Operational excellence advice, scaling resources, biggest mistakes


Follow Melita and Graydon:


Connect with Melita: 

LinkedIn: https://www.linkedin.com/in/melitaball/

Website: https://www.mbcaconsulting.com/


Connect with Graydon: 

LinkedIn: https://www.linkedin.com/in/graydonhansen/

Website: https://www.medtechoperationsstrategiesandsolutions.com/

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Mastering MedTech. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.