The Courageous Choice

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The Courageous Choice episodes

October 27Betting on Yourself: From Junior Engineer to CEO
What would it take to leave a well-paid job and start over as a student with barely enough money for tuition? Sri Peruvemba, CEO of Marketer International Inc., joins Jamie Jacobs to share the choices that took him from an engineering career in India to helping grow E Ink and advising technology companies. He describes the bosses who gave him room to advance, the spreadsheet he uses to weigh career moves, and what he has learned from helping hundreds of people with their job searches.

Key Takeaways
Promotion rules based on tenure can hold back strong performers. Sri left a successful career in India after realizing that better results would not be enough to move him forward.

Leaders who support ambitious employees can help them grow quickly. Sri credits bosses who recognized his ability and gave him opportunities, including four promotions in roughly a year at his first U.S. employer.

Taking on neglected work can open unexpected doors. Clearing his boss's backlog of "fish files" helped Sri move from engineering into product management.

A weighted spreadsheet can clarify a difficult choice. Sri compares his current role, a new opportunity and an ideal job against the factors that matter most to him.

A prestigious role can still leave you feeling like a number. The chance to contribute directly helped Sri choose E Ink over an established position at Sharp.

Building a new market takes close collaboration with customers. Sri describes how E Ink and Amazon worked through early product problems together as the Kindle took shape.

Mentoring works best when people can apply the lesson to their own circumstances. Sri shares personal examples and helps mentees work out their next steps.

A goal bigger than your current circumstances can create motivation. Sri encourages mentees to identify what they want to accomplish and use it as a guide.

Focus requires turning down opportunities. Sri advises founders to be selective and job seekers to communicate one clear area of expertise.

Revisit your goals and the assumptions behind your choices. A smaller title or a move to another city may help you reach the future you want; taking responsibility for your own development can also benefit the people around you.

Timestamps
0:34 Jamie introduces Sri Peruvemba and his career
1:50 Sri hits the glass ceiling in India
4:00 He leaves for the US as a student
11:36 The CEO calls and promotes him to VP
19:16 The decision to join a startup and what felt different immediately
23:12 Amazon, the Kindle and E Ink's growth to over $1B
30:50 Hunger to succeed and how a North Star goal is important
38:57 Closing advice: set goals and focus on yourself

Connect with Sri Peruvemba
LinkedIn: https://www.linkedin.com/in/peruvemba/
Website: https://www.marketerinternational.com

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#StartupCulture #OrganizationalTransformation #StrategicLeadership
43 min
October 13The Courage Behind a Deep Tech Breakthrough
Why are AI data centers using so much power, and could computers move data with light instead of electricity? In this episode, scientist, inventor and entrepreneur Dr. Raj Dutt talks about more than two decades of work in integrated photonics. His technology replaces copper wiring with light to move information faster, with less energy and in smaller systems.
He covers the path from a childhood in India, and a family connection to Satyendra Nath Bose of Bose-Einstein fame, to defense research for DARPA and the Joint Strike Fighter. He also shares what it costs personally to stay with a breakthrough that arrived before the market was ready for it. Listeners will learn how the energy problem behind AI developed, why systems thinking matters more than solving one isolated problem, how leaders can build teams that ask better questions, and why AI is more likely to move people up the value chain than replace them.
Key Takeaways
Copper wiring between chips creates resistance and heat. Photonics uses light to move data with far less energy.

How the photonic system discussed cut power, latency and size by about a factor of 20 each compared with the systems available at the time.

AI data centers may need two to three times today's US power generation, so energy efficiency has become a national priority.

Breakthroughs usually come as a chain of problems. Solving the chip leads to solving the manufacturing equipment behind it.

Systems thinking, which Dr. Dutt calls a system of systems, produces bigger results than improving one process.

Deep tech entrepreneurship takes years of sacrifice, personal financial risk and the belief that the science will hold up.

Money alone does not keep top talent. Challenging work and shared ownership do.

Good leaders invite disagreement, avoid surrounding themselves with yes people, and treat every idea as worth hearing.

AI will change jobs but will not replace human judgment. People move up the value chain as machines handle repetitive trial and error.

Questioning assumptions can lead to unexpected discoveries, such as detectors that turned out to work at quantum temperatures.
Timestamps
00:55 Welcome and introduction
03:07 Growing up in India and early education
05:54 Family ties to Bose-Einstein physics
09:46 Coming to America with eight dollars
11:58 From scientist to entrepreneur
17:16 Seeing the limits of Moore's Law early
20:05 How photonics cuts AI energy use
24:54 The real cost of entrepreneurship
32:15 Will AI replace human workers
45:02 Motivating talent beyond money

Connect with Dr. Raj Dutt
https://www.linkedin.com/in/birendra-dutt-3122761/https://www.linkedin.com/company/apic-corp
Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit gigtalentagency.com or email us at [email protected] if you have any questions.
#StartupCulture #OrganizationalTransformation #StrategicLeadership
59 min
September 29Stop Managing Performance. Start Enabling It.
Why do so many performance reviews leave everyone frustrated? Edie Goldberg, President and Founder of E. L. Goldberg & Associates, returns to The Courageous Choice to talk about her new book, Performance Enablement (Oxford University Press). She makes the case against traditional performance management, a system she says was hijacked by compensation and built on the wrong assumptions about what motivates people.
Key Takeaways
Performance management was hijacked by compensation. It became a tool to decide pay, not to improve performance.
People are far more intrinsically than extrinsically motivated, and tying work to extrinsic rewards can take the joy out of it.
Managing performance means measuring it at year end. Enabling performance means giving people feedback, tools, training, and coaching along the way.
Specific, challenging goals outperform easy or absent goals, but only if people discuss progress regularly.
In one large dataset, only 4% of employees looked at their goals during the year. Set-and-forget goals can't motivate anyone.
Only 21% of employees say they get meaningful feedback, and more frequent bad feedback doesn't help.
Task-based, future-focused feedforward beats personal, evaluative feedback. Managers are trained to be critical, but a positive focus produces better outcomes.
Companies with a strong performance feedback culture outperform others on every financial measure studied.
People are more than their job descriptions. Internal mobility unlocks hidden capability, and AI curiosity inside your own ranks is a live example.
Have the courage to stop practices that no longer serve you. Design for the 99%, and use performance improvement plans for the rare real issues.
Timestamps
0:00 – Intro
5:17 – "Performance management was hijacked by compensation"
7:19 – Why extrinsic rewards take the joy out of work
11:59 – Managing vs. enabling performance
15:54 – The undisputed research on goal setting
23:00 – Only 21% of employees get meaningful feedback
26:16 – Feedforward, not feedback
32:46 – Only 4% of employees ever accessed their goals
40:06 – The courage to stop what's not working
44:03 – Edie's own courageous choice
Connect with Edie Goldberg
Edie on LinkedIn
E. L. Goldberg & Associates on LinkedIn
Thanks for listening to "The Courageous Choice." Leave us a review and subscribe so you don't miss any conversations.
For more information, visit gigtalentagency.com or email [email protected].
#StartupCulture #OrganizationalTransformation #StrategicLeadership
48 min
September 15Leading Change When the Data Is Clear
What stops an organization from making a change that the data clearly supports? In this conversation, an organizational research scientist from USC's Center for Effective Organizations explains why large companies struggle to act on solid evidence, why leadership turnover derails long-term change efforts, and how AI is beginning to reshape knowledge work, business processes, and cross-functional collaboration. Listeners will learn what actually makes change hard in complex organizations, why big consulting firms often fail to solve the real problem, how a well-designed compensation pilot at a consumer products company succeeded and was still shut down, and what leaders and individuals should do now to prepare for AI in their roles.
Key Takeaways
Most workplace challenges are not new. The hard part is applying known principles to your specific company, culture, and context.

Once an organization is too large to manage by walking around, it needs real processes, and then complexity rises sharply.

There is rarely one right answer in organization design. Every choice, such as centralized versus decentralized, carries trade-offs that pull you the other way.

Hiring a big consulting firm feels safe for leaders, but it often delivers expensive advice that does not solve the underlying problem.

Even when a pilot produces unequivocal data, new leaders may lack the appetite or courage to act on it, especially when it involves changing pay.

Leadership turnover is a major risk to long-term change because sponsors move on before results arrive.

Paying salespeople on volume rather than growth removes the incentive to grow routes or take on difficult territories.

AI will change the work of most knowledge workers but is unlikely to eliminate most jobs outside specific roles like software programming and translation.

AI lets people get to a "not bad" answer outside their expertise, which will reshape cross-functional workflows and reduce waiting on other departments.

Designing a change is the easy part. Sustaining rigor, sensing in real time, testing assumptions, and adjusting is what makes change succeed.
Timestamps
00:33 Introduction and guest background
02:32 The Center for Effective Organizations and its externally funded research model
04:54 Is the world really changing faster, or is change always hard?
10:01 Why hiring big consulting firms rarely solves the problem
13:32 Case study: redesigning route sales compensation at a consumer products company
21:47 Why leaders shut down a successful pilot despite clear data
25:32 What AI means for your job and career right now
30:04 How AI will reshape cross-functional work and business processes
34:41 What organizations are for and why that does not change with AI
36:51 Test and adjust: why sensing and feedback loops make or break change
Connect with Alec Levensonhttps://www.linkedin.com/in/alec-levenson-8915475/
Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit gigtalentagency.com or email us at [email protected] if you have any questions.
#StartupCulture #OrganizationalTransformation #StrategicLeadership
40 min
September 01 Fractional Executives: The New Talent Strategy
What does it take for a senior HR executive to leave corporate life and build an independent consulting practice? In this conversation, Laura Daniels, CPO and Founder of Laura Daniels & Co., shares how she made the leap to executive entrepreneurship, why companies are hiring HR leaders far earlier than they used to, and how AI and frontier technologies are reshaping the workforce.
Listeners will learn how fractional executive talent works, why experience and pattern recognition matter more than ever, how HR business partners and recruiters must evolve in the age of AI, and how to build the courage and confidence to have difficult conversations that drive better business outcomes.
Key takeaways:
1. Your professional network is built years before you make the leap; people hire people they have worked with during intense growth periods.
2. Experienced executives bring pattern recognition that lets them predict outcomes in situations that are new to a business but not new to them.
3. Companies now hire heads of HR at 50 employees, when five years ago they waited until 400 or 500.
4. Build your tech stack first, then build the workforce on top of it; that mindset applies to every function.
5. AI will not shrink opportunities for people who adapt their skills, use judgment, and lead with emotional intelligence.
6. Recruiting is returning to human fundamentals: talking to people and discerning fit, while AI handles sourcing and screening.
7. HR business partners must move beyond coaching basics, which AI can handle, to connecting talent strategy with business outcomes.
8. Mine for conflict: healthy teams push back, challenge ideas, and avoid groupthink to reach better decisions.
9. Knowing your strengths builds the confidence to have courageous conversations and make decisions without all the answers.
10. Fractional leaders differ from traditional consultants because they know how to operationalize strategy, not just present it.
Timestamps:
00:35 - Introductions and Laura's background
02:23 - Laura's career journey and what switched after two decades
04:40 - Deciding to leave corporate and the first months on her own
08:17 - Why Laura landed her first CEO coaching contract so quickly
09:12 - Why experienced professionals are choosing fractional work
12:41 - Why boards want HR leaders hired much earlier
14:00 - Tech stack first: building a smarter workforce
15:29 - Will AI take my job? How roles are evolving
20:41 - Mining for conflict and building courage as a leader
26:56 - Advice for CHROs considering executive entrepreneurship
Connect with Laura Daniels:
https://www.linkedin.com/in/lauradanielshumanresources/
Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit gigtalentagency.com or email us at [email protected] if you have any questions.
#StartupCulture #OrganizationalTransformation #StrategicLeadership
33 min
August 18Skill Security In The AI Economy
Raymond Lee, president of CareerMinds, author of Clocking Out, and host of the Clocking Out podcast, explains what courage really looks like in leadership and career change.
You’ll learn why handing over the CEO role to someone else was the hardest—and best—decision he made; how his definition of success shifted from raising venture capital to building something that outlasts him; and how to lead when you cannot give your team clear answers.
He also breaks down the warning signs that it’s time to leave a job, why we’re now in a skills economy rather than a job security economy, and the small daily practices that create clarity before big decisions.
Key takeaways:
Courage is rarely the dramatic leap. The hardest choices are the ones with no plan B.

Stepping aside as CEO can be the right call when the company needs skills you don’t have.

Trust and transparency, agreed upon upfront, make shared leadership work.

Success moves. Funding, the first customer, and acquisition are milestones—not finish lines.

Chasing an exit while neglecting your health and relationships creates an imbalance you eventually have to fix.

Leaders who can operate without certainty are the ones who rise above the rest.

Say plainly that you don’t have the answers yet rather than manufacturing false clarity.
When the pain of staying the same exceeds the pain of change, you’ve stayed too long.
Ignoring that signal can lead to burnout, substance use, and missed moments with family.
In a skills economy, you have skill security—not job security. Audit your skills against AI disruption.
Timestamps
00:34 — What The Courageous Choice is about

02:32 — The choice that took the most courage

04:48 — Being asked to step aside as CEO

05:40 — Why giving up the CEO seat was the right call

08:16 — Building trust with an incoming CEO

10:01 — How the definition of success changed

11:44 — Acquisition as a milestone, not an ending

13:56 — Neglecting yourself while building a company

14:56 — From product company to workforce solutions

17:20 — Leading without having the answers

19:22 — Why the pandemic validated virtual delivery

21:32 — Signs it’s time to make a change

22:59 — The tumbleweed metaphor for career inertia

24:54 — What burnout actually looks like

26:25 — Fear of sales and business development

28:25 — Practicing 15 minutes of morning silence

30:31 — Skill security in the AI economy

31:48 — Imposter syndrome and starting a podcast

33:29 — Final advice: Start small; don’t wait
Connect with Raymond Lee
https://www.linkedin.com/in/raymondmlee/
Thanks for listening to The Courageous Choice. Leave us a review and subscribe so you don’t miss future conversations.
For more information, visit gigtalentagency.com or email [email protected].
#StartupCulture #OrganizationalTransformation #StrategicLeadership
35 min
August 04Balancing AI Adoption With Human Connection
What does AI actually mean for HR teams and the people they support? In this episode, Lisseth Zouhbi, Chief People and Culture Officer at Child Care Resource Center in Los Angeles, explains how to approach AI transformation without losing the human side of work.
You'll learn how to decide which parts of the employee lifecycle can be automated and which need a human touch, why some organizations are bringing interviews back in person, how to move a fearful workforce toward curiosity and experimentation, which skills are becoming more valuable as AI spreads, and the concrete first steps to build an AI governance structure and roadmap in your own organization.
Key Takeaways
Start with what AI means for your people, not what AI can do for your technology stack.

Map the full employee lifecycle and separate administrative tasks from moments that require human connection.

Benefits administration and onboarding workflows automate well, but onboarding still needs a real human relationship.

Candidates are using AI to answer interview questions, which is pushing some employers back to in-person interviews.

Assess your workforce's current skills against the future skills you'll need, then build a roadmap to close the gap.

Use AI to upskill your workforce rather than to replace it.

Curiosity is the entry point. Hands-on experimentation and team hackathons work better than waiting for formal training.

Fear about AI cuts across every generation, including college students entering the workforce.

Soft critical skills such as change management, emotional intelligence, and critical thinking are becoming more valuable, not less.

Always validate AI output. Job knowledge and critical thinking are what make the output usable.
Timestamps
00:35 Introduction and guest background
01:29 The current HR transformation and thinking people-first about AI
03:16 Mapping the employee lifecycle for automation versus human touch
04:00 AI in talent acquisition and the return of in-person interviews
06:20 Assessing current versus future workforce skills
07:17 Building curiosity through hands-on experimentation
08:55 Fear of AI across generations and the case for upskilling
10:22 Why soft skills are becoming critical skills
14:23 The aha moment: building an HR agent end to end
16:36 The future of the HR function and evolving roles
18:34 Three actions leaders should take today
20:04 Keeping culture and mission at the center
24:51 Closing thought: the human-AI balance
Connect with Lisseth Zouhbi
https://www.linkedin.com/in/lisseth-zouhbi/
Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit gigtalentagency.com or email us at [email protected] if you have any questions.
#StartupCulture #OrganizationalTransformation #StrategicLeadership
27 min
July 22Why AI Projects Fail Without People
This conversation explores why AI transformation succeeds or fails based on people and culture—not just technology. It examines why good tools get rejected, how fear of replacement fuels resistance, and what leaders can do about it.
It also covers the stages of AI maturity companies typically move through, why a CEO mandate isn’t enough on its own, and how HR, technology, and operations leaders can share ownership. Practical advice includes setting guardrails without stifling experimentation, enabling employees to build their own tools, and keeping AI tied to real business outcomes.
Key Takeaways
Technology adoption fails when the people and cultural side is ignored.

Building a great application does not guarantee people will use it.

Resistance is often cultural and driven by fear of being replaced.

Senior experts may withhold tribal knowledge if they feel sharing it threatens their value.

A CEO efficiency mandate still needs clear ownership to avoid turf battles.

Successful transformation requires executive commitment and a single champion.

People fear ambiguity and unclear direction more than change itself.

Empowering employees to experiment and build reduces fear and resistance.

Guardrails should manage risk, not become an excuse for inaction.
Timestamps
0:35 — Welcome and the cross-functional transformation theme

1:55 — The swim lanes problem in complex organizations

2:49 — Fear of becoming replaceable in the age of AI

3:12 — When senior experts resist adopting new tools

4:44 — The stages of AI maturity in companies

5:00 — The CEO efficiency mandate example

5:31 — Why you need executive commitment and a champion

6:25 — Ambiguity, not change, is what scares people

7:13 — Empowerment and letting employees build

9:09 — The cloud adoption parallel and solvable risks

13:19 — The courageous choice to lead without fear
Connect with Pedro Arellano
Connect with Pedro on LinkedIn
Thanks for listening to The Courageous Choice. Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit
gigtalentagency.com
or email us at
[email protected]
if you have any questions.
#StartupCulture #OrganizationalTransformation #StrategicLeadership
15 min
July 06What Great HR Leaders Do Differently
This episode takes you inside the thinking of seasoned CHRO Pat Wadors, who is reshaping what high-impact HR looks like.
You will learn how to apply a product mindset to HR strategy using frameworks borrowed from engineering and product development, how to practice genuine co-creation with business leaders, and what it means to build an agile team that can read the room and adapt in real time.
The conversation also covers AI readiness, job architecture for a skills-based future, and what it truly means to build a lasting legacy instead of just launching programs.
Key Takeaways
Adapt your language to the business you serve. Speaking in product, go-to-market, or manufacturing terms builds trust and gets HR ideas heard faster.

Apply a product requirements framework to HR work by defining your customer.

Co-creation is not a soft collaboration technique. It requires you to pause, genuinely listen, and let business partners reshape the solution before you have locked in your plan.

When people put their DNA into a solution, their ownership increases exponentially. That is how sustainable change gets embedded in a company.

An agile HR athlete enters every conversation with humility, anticipates being surprised, and pivots based on what the room is actually telling them rather than defending the original plan.

Asking powerful questions is the highest-leverage skill in HR today and one of the most underused.

AI is transforming HR from job codes and data governance to agentic workflows where managers will need to oversee digital workers alongside human employees.

Legacy is not a program. It is knowledge, confidence, and capability so deeply embedded in the business that it lives on after the person who created it is gone.

Chase your butterflies. The nervous energy around the unknown signals the exact direction where your deepest professional growth is waiting.
Timestamps
0:00 Introduction and welcome
1:13 Introducing the product mindset for HR
2:06 Business planning frameworks applied to HR teams
3:33 Building legacy instead of launching programs
8:54 Defining the agile HR athlete
13:19 AI strategy and the agentic workforce
19:02 What legacy means to a CHRO
20:42 Career achievements and sources of pride
21:28 The evolution of Diversity, Inclusion, and Belonging
27:42 Advice for up-and-coming HR professionals
Links
Pat Wadors’ book:
Barnes & Noble
Amazon
Connect with Pat Wadors:
https://www.linkedin.com/in/patwadors/
Thanks for listening to The Courageous Choice. Be sure to leave us a review and subscribe so you don’t miss any conversations.
For more information, visit gigtalentagency.com or email [email protected].
#StartupCulture #OrganizationalTransformation #StrategicLeadership
30 min
June 19How To Drive Real Organizational Transformation
This conversation breaks down why so many AI and automation investments fail inside organizations, and what to do instead. The core idea: companies keep layering new tools on top of processes they don't actually understand end to end, which leads to wasted spend, poor workforce planning, and avoidable layoffs.
You'll learn how to audit the technology you already own, measure usage on a much faster cadence, and redesign work so that systems support people rather than create friction. The discussion also covers how HR can lead enterprise-wide transformation, why human judgment still matters most, and how to get started with AI without fear, even if you're later in your career.
Key Takeaways
Most AI failures come from adding automation on top of processes no one fully understands.

Layoffs are often evidence of poor planning rooted in misreading how disruptive technology will be.

Start by maximizing the tech you already bought before purchasing anything new.

Measure tool usage monthly or weekly, not on 12 to 36 month contract cycles.

Employees often work outside the system because the tool creates friction instead of leverage.

For every dollar spent on technology, organizations may spend seven to eight on wraparound work.

High performers with AI are far more likely to fully rearchitect processes, not just bolt AI on.

Workflows are usually built for clean cases, while real work is mostly edge cases and exceptions.

Psychological safety is essential, or people hide how they actually get work done.

Don't fear AI; block short, regular time to experiment and you can multiply your impact.
Timestamps
0:36 Meet the guest and Vendi
0:57 A career across HR and tech
1:45 Layoffs and their real root causes
3:53 Why AI investments keep failing
8:08 Optionality instead of working around tools
9:00 ROI versus compliance spending
13:07 McKinsey study on rearchitecting processes
14:20 How Vendi works and the 30 day sprint
19:00 Protecting PII and sensitive data
22:37 One wish: start with AI, drop the fear
Connect with Dave Foley
https://www.linkedin.com/in/davefoley1
Thanks for listening to The Courageous Choice. Be sure to leave us a review and subscribe so you don't miss any conversations.
For more information, visit
25 min

About The Courageous Choice

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Every breakthrough begins with a decision — a moment of hesitation followed by a leap. “The Courageous Choice” is the podcast that explores those defining moments when leaders, entrepreneurs,…

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