FinOps in Action
FinOps in Action

Sales Strategy Meets Practitioner Reality ft. Sean Kennedy and Amanda Wagner | Ep #78

23 July 2026 38:53 PointFive

Listen to episode

About this episode

What happens when you put the strategic and operational sides of FinOps in the same room?

In this episode of FinOps in Action, host Taylor Houck welcomes two guests for the first time on the show, Sean Kennedy, Senior Cloud FinOps Consultant, and Amanda Wagner, Cloud FinOps Consultant, both from Trace3. Sean focuses on presales strategy and partner enablement across Trace3's FinOps practice, while Amanda works directly with a portfolio of customers on the practitioner side. Together they unpack why FinOps never really finishes, how customer maturity changes the conversation, and what the AI cost landscape looks like right now.

Here’s what we talked about:

  • FinOps is a cycle, not a destination. There's no finish line, just an ongoing loop of informing, optimizing, and operating that adapts as engineering, pricing, and business needs change.
  • Document your processes before you need them. Repeatable procedures for tagging, showback, and optimization reviews protect your FinOps program from falling apart when key people leave.
  • Meet customers at their maturity level. Don't push budgeting and forecasting on a team that's still working on basic visibility; introduce concepts in bite-sized chunks as they're ready.
  • The biggest wins often come from on-prem-to-cloud transitions. Companies migrating legacy infrastructure and mindsets tend to have the most untapped savings potential, partly because the human resistance to change is as big a factor as the technical work.
  • Clarify what "AI spend" actually means before optimizing it. Seat-based licenses, hyperscaler AI services, GPU infrastructure, and token-based usage are all totally different cost problems that need different strategies.

Chapters:

00:00 Welcome to the Show

00:51 Meet Sean and Amanda

01:51 Sean's Role at Trace3

02:41 Amanda's Practitioner Lens

03:18 Myth of Being Done

04:09 Mindset Shift From IT

05:05 FinOps as Org Adoption

06:15 Repeatable Processes Matter

07:09 Core FinOps Processes

08:12 Enterprise vs Commercial Needs

11:10 When Spend Forces FinOps

12:03 Start Early and Build Habits

14:36 Meeting Customers Where They Are

16:32 Who Gains the Most

23:18 AI Expands FinOps Scope

27:56 Forecasting and Optimizing AI

31:44 Closing and Personal Journeys


 🎧 Subscribe for more FinOps leadership conversations → https://www.finopsinaction.com/ 

Quote of the Show:

  • “"I think the myth is that FinOps is something that you finish, right? You don't ever arrive at FinOps." - Amanda Wagner

Links:

  • LinkedIn: https://www.linkedin.com/in/amanda--wagner/
  • LinkedIn: https://www.linkedin.com/in/sean~kennedy/
  • Website: https://www.trace3.com/

Ways to Tune In:

  • Amazon Music: https://music.amazon.com/podcasts/f25a9d18-c12f-4ee4-93f5-2aa96e509b55 
  • Apple Podcasts: https://podcasts.apple.com/us/podcast/finops-in-action/id1790497808 
  • iHeart Radio: https://iheart.com/podcast/268443483/ 
  • Podchaser: https://www.podchaser.com/podcasts/finops-in-action-5958339 
  • Spotify: https://open.spotify.com/show/3IpjMc3qxDXZAjic5Zq21t 
  • Substack: https://finopsinaction.substack.com/ 
  • Transistor: finopsinaction.com 
  • YouTube: https://www.youtube.com/@PointFive_Inc 

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 FinOps in Action. 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.