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Welcome back to the FNDN Series, where we continue our deep dive into startup compensation with industry leaders from across the startup world. In our conversation with Rowan Savage, Former CTO & Co-Founder at Runn, we explore how unconventional compensation practices can drive zero turnover and 100% employee net promoter scores. Rowan shares how Runn implemented automatic pay rises, pay transparency with exact salaries (no bands), location-agnostic compensation, and the radical practice of paying every role the same at each level—from engineers to marketers. We dive deep into their four-day work week, recruiting philosophy that attracted top 1% talent, and performance management approach that separated pay from performance discussions. Keep watching to discover how these practices resulted in annual pay reviews taking less than five minutes instead of weeks or months.’
Rowan is a serial entrepreneur and tech founder with a strong belief that the way you win is by attracting the best talent, putting the right team together, retaining them over the long term, aligning them on the mission and then unleashing them to do their thing. Rowan was recently the chief technology officer, and one of 4 co-founders at Runn. A fast-growing startup that’s embedded many of these ideas at the core including transparent pay, aysnc remote, worldwide hiring, flexible working hours and let’s not forget a 4 day work week.
Chapters:
00:44 Guest Introduction: Rowan Savage
01:48 Philosophy: Building High-Performing Teams
03:13 Consulting Top Talent Before Starting
05:37 People Operations Without HR Experts
08:20 Creating an Employee-Centric Culture
10:04 Redesigning Employment Contracts
13:05 Beyond Compensation: Building Your EVP
16:47 The ESOP Reality in New Zealand
19:42 The Contract as a First Impression
22:15 Hiring Process: Identifying Top Performers
24:05 Recruiting Through Community, Not Job Boards
24:48 Writing Job Ads That Attract Attention
27:09 Long Interview Processes Done Right
30:01 Investing Equal Time as Candidates
31:17 Scaling the Hiring Process
32:56 Attraction Strategy: Making a Great Workplace
34:30 Achieving 100% Employee Net Promoter Score
41:25 Automatic Pay Rises Based on Experience
44:24 Location-Agnostic Global Compensation
46:07 Five-Minute Pay Reviews vs Months-Long Cycles
47:27 Why Performance Comparisons Never Came Up
50:57 Eight-Week Cycles and Performance Tracking
52:34 Sandbagging vs High Performance Culture
54:12 Lessons Learned: Leadership Alignment Challenges
57:46 100% Retention in Engineering Team
59:35 Advice: Focus on People from Day One
Connect with Rowan
https://www.linkedin.com/in/savagerowan/
Resources Mentioned
Runn - Resource management platform for B2B SaaS companies
Buffer - Known for pioneering pay transparency practices
Atlassian - Australian software company referenced for compensation benchmarks
Culture Amp - People and culture platform
GitHub - Platform for software development
Canva - Australian design platform
Company Mentioned:
Runn - Resource management platform for B2B SaaS companies
Buffer - Company known for pay transparency practices
Culture Amp - People and culture platform
Atlassian - Australian software company
Canva - Australian design platform
GitHub - Software development platform
Tools Mentioned:
DISC Assessment - Personality and behavior assessment tool used by leadership team
More FNDN Episodes:
Spotify: https://open.spotify.com/show/4GeBIeZOKrFxG1oiiPxmiM
Apple Podcast: https://podcasts.apple.com/us/podcast/fndn-series/id1794263484
__________________________________________________
StartupCompensation, PayTransparency, CompensationStrategy, AutomaticPayRises, LocationAgnosticPay, FourDayWorkWeek, HighPerformanceTeams, ZeroTurnover, EmployeeNetPromoterScore, PayEquity, TalentRetention, StartupCulture, RecruitingStrategy, PerformanceManagement, EmployeeEngagement, CompensationFrameworks, StartupBestPractices, PeopleOperations, RemoteWork, GlobalCompensation
When Sam Fariborz moved to Australia from Iran, she had been working as an IT manager. While she had plenty of experience and strong technical skills, the move to Australia was challenging, and in this episode Sam discusses some of the barriers to entry she faced. By attending cybersecurity events and reaching out to people on LinkedIn, Sam found mentors and peers who helped progress her career, and today Sam is Cybersecurity Services & Program Manager for Kmart group which employs nearly 50,000 people across Australia and New Zealand. Sam chats with Cole Cornford about how to network effectively, the growth of cybersecurity as a profession in the last couple of decades, the need for greater diversity within the industry, and plenty more.
🐙 Secured is grateful to be sponsored and supported by Chainguard.
Chainguard is the trusted source for open source. Get hardened, secure, production-ready builds so your team can ship faster, stay compliant, and reduce risk. Download your free CVE Reduction Assessment at https://dayone.fm/chainguard
Secured is part of Day One.Day One helps founders and startup operators make better business decisions more often.To learn more, join our newsletter to be notified of new First Cheque episodes and upcoming shows.
Mentioned in this episode:
Download your free CVE Reduction Assessment
Chainguard is the trusted source for open source. Get hardened, secure, production-ready builds so your team can ship faster, stay compliant, and reduce risk.
December 2025 - Chainguard
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Ben King is the founder and CEO of Aviato Consulting, a software and AI consultancy that ranked sixth in the AFR Fast 100 this year. Before starting Aviato, Ben ran the app modernisation team for Google Cloud across Asia Pacific, and when he left, he built essentially the same thing, but leaner and on his own terms. The company now has 95 people across Australia, India and Singapore, with around half of all work being AI-related.In this episode, Ben joins Alan to talk about what it actually looks like to build and scale a technical consulting business in Australia, from the talent shortage that forces most serious engineering firms offshore, to the practical realities of using AI in production versus just prototyping. Ben is refreshingly direct about what works and what doesn't, including why he thinks signing a three-year deal with any AI provider right now is a mistake, why AI cold email campaigns do more damage than good, and why a physical piece of mail will outperform ten thousand automated messages every time.
Alan challenges Ben on the right tech stack for founders heading into 2026, how to get the most out of free cloud credits before you raise, and what product managers still do better than any AI tool on the market.
If you're a founder making decisions about how to build, who to hire, or which AI tools to trust with your business, this episode is worth your time.
🎙 Ask Alan a Question – https://speakpipe.com/pickmybrain
🎧 More from Alan Jones – https://www.startupfoundercoach.com
Sponsors:Pick My Brain is supported by our wonderful sponsors:Deel: Global hiring and payroll can be a headache. Deel brings HR, IT and payroll together in one platform, helping companies including Shopify, Revolut and ElevenLabs scale internationally.
Ready to expand your business?
Build your global team with Deel at deel.com/dayone.
___
Galah Cyber offers Application Security Assessment Get a clear, ten-minute snapshot of your AppSec maturity across the five core principles. Fast, practical insights you can act on straight away at https://www.galahcyber.com.au/assess
The Day One NetworkPick My Brain is part of Day One, the podcast network dedicated to founders, operators & investors.To learn more, join our newsletter to be notified of new and upcoming shows. The only content we create is content that will help Australian founders.
Mentioned in this episode:
Deel x PX_Script 1
Win $2,000 in credits with the Day One Network — take our 2-minute audience survey before 30 June: dayone.fm/survey
Josh Clemm, VP of Engineering at Dropbox, joins Georgie Healy to cut through the noise and get to what is actually happening with AI agents right now. Josh has scaled engineering teams at LinkedIn and Uber Eats, founded his own AI venture, and is now building Dash, Dropbox's context layer designed to make agents dramatically more reliable. This is someone who has been on the coalface of this technology longer than most.
In this episode Josh introduces two ideas that will change how you think about AI at work. Context rot, the reason your large language models quietly get dumber the more information you give them. And work slop, the plausible sounding but completely hollow output that gets generated when AI tools are used without intention. He also delivers the most reassuring reality check of the year for anyone feeling overwhelmed by the idea that everyone already has a fully functioning team of AI agents working for them.
They also get into how the index approach behind Dash solves what real time fetching cannot, why the next AI breakthrough might actually come from old fashioned software engineering principles, and the two engineers Josh considers the greatest builders of their generation and why neither of them was asked to build what they built.
✨ Connect with Georgie HealyWeekly Substack: https://georgiehealy.substack.com/
Linkedin: https://www.linkedin.com/in/georginahealy/
Instagram: https://www.instagram.com/georginahealytech/
The Day One NetworkIn The Blink of AI is part of Day One, the podcast network dedicated to founders, operators & investors.
Sign up to get your weekly insights into the up-and-coming AI startups: https://dayone.fm/newsletter
Marc Hermann's dad died of a heart attack in his mid-forties. Fit, healthy, no warning signs. Then a doctor told him 99% of heart disease is preventable. We just don't catch it in time.
That conversation became Everlab.
Twelve months ago, Everlab had one doctor. Today they have 66. They've built their own patient management system from scratch, landed Bain, BHP and the AFL as corporate clients, and closed one of Australia's biggest seed rounds, $10M USD led by a New York investor who flew to Sydney on Easter Sunday and didn't leave without a term sheet.
This week Brendan sits down with Marc Hermann, Australia's leading COO Gillian Findlay, and investor Rohen Sood, all angel investors in Everlab, to get into the real story. How do you hire obsessives, not just smart people? Why did a US fund get it before Australian investors did? And is B2B SaaS actually cooked?
Gillian just launched Third Room, a community for the operators who actually scale these companies. Rohen breaks down why the gradient beats the y-intercept every time. And Marc is brutally honest about what it actually looks like inside a fast-growing startup. It's a shitshow. That's the point.
Time Stamps
00:00 Trailer, Intro & Guests
02:53 What Even Is Autonomous Healthcare
05:30 Jill & Rowan's Everlab Experience
07:36 Why Marc Built Everlab, The Personal Story
10:27 Sponsor: Vanta
12:05 Inside the Platform: 100 Biomarkers & Minus 8 Years Biological Age
13:14 Why They Built Their Own Patient Management System
17:05 Everything Is Breaking, How Do You Even Start
19:11 Hiring Obsessives, Not Just Smart People
22:54 Referral Hiring & Why Pedigree Is a Trap
24:34 Sponsor: Ten13 Ventures
25:50 Why Marc Quit His Post-Exit Life & Moved to Australia
29:53 Is B2B SaaS Cooked
37:57 How Leftlane Flew to Sydney on Easter Sunday & Left With a Deal
42:42 US vs Australia, Why Local Investors Didn't Get It First
49:27 Safety Culture's US Expansion & The Kansas City Lesson
51:51 Jill Launches Third Room, Community for Operators
55:24 Everlab Corporate: Bain, BHP, AFL & the B2B2C Flywheel
1:03:40 What Does Marc Actually Think of Bryan Johnson
1:05:23 Is AI Killing Junior Hiring
1:07:13 Why Every Founder Needs a Chief of Staff
1:10:54 What a Chief of Staff Actually Does vs a Glorified EA
1:13:35 Why You Should Work at Everlab
Oversubscribed is proudly supported by our sponsor Vanta 🦙
Vanta is the all-in-one solution for startups to become compliant quickly and build a security foundation with ease. Startup customers get $1000 off Vanta at vanta.com/oversubscribed
The Day One Network
Oversubscribed is part of Day One, the podcast network dedicated to founders, operators & investors.
Guest Founders:
Everlab: https://www.everlab.com.au/
Connect with Marc: https://www.linkedin.com/in/marc-hermann-3132ab5b/
Third Room: https://thirdroom.au/
Connect with Gillian: https://www.linkedin.com/in/gillian-findlay-7a792429/
Enduring Investment Partners: https://www.enduringinvestments.com.au/
Connect with Rohen: https://www.linkedin.com/in/rohen-s-b747a429/
Stay Updated:
Listen to the Oversubscribed Podcast on Spotify: https://open.spotify.com/show/6rZ9SajGVXkO8oxuvEHAsk?si=I2yR92GgRZa-Fdqbp8T4bw
Listen to the Oversubscribed Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/oversubscribed/id1848789610
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, or investment advice or be used to evaluate any investment or financial product. Brendan Hill is an investor in Everlab, Relevance AI and A1Base.
About the Host:
Brendan Hill is a Venture Partner at TEN13 and an angel investor in Australia’s fastest-growing startups, including Everlab, Heidi Health, Relevance AI and Instant. If you are interested in finding out more about angel investing, connect with Brendan on LinkedIn: https://www.linkedin.com/in/itsbrendanhill/
Welcome back to the FNDN Series. In this episode, we sit down with Arif Ender, Director of Compensation at Palo Alto Networks and former compensation leader at Meta. We unpack the strategic differentiators tech giants use to scale from 5,000 to 50,000+ employees.
We explore why job architecture is the non-negotiable foundation for growth, the looming challenges of the EU Pay Transparency Directive, and how AI tools like Claude Code are democratizing the competitive advantages once reserved for Silicon Valley titans. Arif shares practical strategies for building custom HR tools, managing global expansion, and maintaining pay equity at scale.
About the Guest
Arif Ender is a Total Rewards expert with nearly two decades of experience at Palo Alto Networks, Meta, Mars, and Nestlé. Currently the Director of Compensation for EMEA & LATAM at Palo Alto Networks, he oversees strategy across 65+ countries. Arif is also a faculty member at WorldatWork and holds CCP, GRP, and CSCP certifications. He specializes in navigating market volatility, sales incentives, and regulatory compliance on a global scale.
Chapters
00:44 Guest Introduction: Arif Ender
01:08 EU Pay Transparency Directive: The Year Ahead
02:59 Beyond Data Modeling: Change Management Challenges
04:39 Correcting Past Practices & Preventing Future Issues
06:02 Making the Business Case: Fines, Tenders, and Reputation
09:36 Scaling Compensation: From 500 to 5,000+ Employees
12:55 Job Architecture: The Non-Negotiable Foundation
16:22 The Meta Advantage: Custom-Built HR Tools
18:02 Scaling Crisis: Approving 800 Offers Solo
20:01 Why Most Companies Lack Meta's Tooling Strategy
24:06 AI's Democratization of Competitive Advantages
28:06 Learning Claude Code: The Practical Roadmap
32:08 Building Custom Tools: Family Finance to Market Pricing
36:01 Why People Teams Should Build Their Own Tools
38:00 The "Rest of World" Problem for US-Headquartered Companies
41:09 First Moves: Hiring Global Expertise Early
42:18 The Painful Transition: Structuring for Scale
43:14 "Hire at All Cost" vs. Pay Equity Reality
48:02 Meta's Philosophy: No Counter-Offers Ever
52:28 2026 and Beyond: EU Pay Transparency Predictions
56:04 Cultural Nuances: The Nigeria Allowances Story
Connect with Arif
LinkedIn: linkedin.com/in/arifender
Resources Mentioned
Companies & Organizations:
Palo Alto Networks – Global cybersecurity leader.
Meta (Facebook) – Where Arif scaled comp during hyper-growth.
WorldatWork – The leading association for Total Rewards professionals.
WGEA – Australia’s Workplace Gender Equality Agency.
Tools & Technologies:
Claude Code – AI tool for building custom applications.
Lovable – AI-driven rapid app development.
Gemini & ChatGPT – Large Language Models for productivity.
Next.js – Framework used for building HR tool frontends.
Concepts & Frameworks:
EU Pay Transparency Directive – New legislation regarding pay equity.
Job Architecture – The framework for organizing roles and levels.
Statistical Regression Modeling – Used for deep pay equity analysis.
More FNDN Episodes
Spotify: Listen Here
Apple Podcast: Listen Here
Tags:
#EUPayTransparency #CompensationAtScale #PayEquity #JobArchitecture #MetaCompensation #StartupCompensation #GlobalCompensation #AITools #ClaudeCode #HRTech #PeopleOps #TalentStrategy #CompFrameworks #GenderPayGap #ScalingStartups
Win $2,000 in credits with the Day One Network — take our 2-minute audience survey before 30 June: dayone.fm/survey
Frank Greeff, the founder behind a $180M exit and the viral Founders Table series, is back, this time building Kinso, an AI messaging aggregation tool set to change how businesses communicate. Instead of retiring after one of Australia’s biggest tech acquisitions, Frank is diving back into the grind, sharing why momentum and purpose keep him building.
In this episode, Frank reveals the AI hacks that surprised even his engineers, why scrappy MVPs may not survive in today’s fast-moving AI wave, and how personal branding gives founders a hidden moat. Georgie and Frank also dig into what it takes to self-fund after top VCs said no, attracting A+ engineering talent in a competitive market, and why “taste” will define which AI products win.
Plus, Frank unpacks Meta’s $100M AI hires, the rise of deepfakes and how he protects his family, and answers listener questions on planning exits, building AI startups, and navigating AGI, UBI, and the future of work, all while playing a spicy rapid-fire round.
Time Stamps
03:20 – What is Kinso and why aggregate business messaging
06:15 – Why Frank couldn’t retire after a $180M exit
10:45 – Hack of the Week: how non-technical founders can challenge engineers with AI
14:30 – Why Frank thinks MVPs can’t be scrappy anymore
18:00 – Building a founding team: attracting top AI engineering talent
23:30 – Meta’s $100M AI hires and how Kinso competes
26:40 – Why VCs rejected Kinso and why Frank’s self-funding
30:50 – Taste as a moat: what makes great AI products stand out
33:00 – How building an AI startup differs from RealBase
36:00 – Planning for exits: documentation and timing
40:30 – Deepfakes and Frank’s “secret password” strategy
43:20 – Rapid Fire: AGI, UBI, future of work, and more
Resources Mentioned
🌐 Kinso – https://www.kinso.ai/
🔗 Frank Greeff on LinkedIn – / frankgreeff
✨ Connect with Georgie HealyWeekly Substack: https://georgiehealy.substack.com/
Linkedin: https://www.linkedin.com/in/georginahealy/
Instagram: https://www.instagram.com/georginahealytech/
The Day One NetworkIn The Blink of AI is part of Day One, the podcast network dedicated to founders, operators & investors.
Sign up to get your weekly insights into the up-and-coming AI startups: https://dayone.fm/newsletter
The ISM has been updated again, and this time AI is front and centre. In this episode of Secured, Cole Cornford is joined by returning guest Toby Amodio, Practice Lead at Fujitsu Cybersecurity Services, for another instalment of Policy Wonks and Gronks, cutting through the vendor noise to talk about what the March 2026 update actually means in practice.
They explore where AI is genuinely delivering value for cyber professionals, from automating compliance mapping and vendor assessments to streamlining pen test reporting and SOC triage. But they are equally candid about the risks: the erosion of foundational skills as junior roles get outsourced to AI, the creeping fatigue of reviewing outputs at scale, and the danger of skipping straight to full automation without the expertise to validate what the machine is doing.
The conversation also tackles bigger picture concerns unique to Australia, sovereign AI capability, the risk of a brain drain to the US, and whether a small country can afford to decentralise its AI infrastructure. Toby closes with a sharp reminder for government CISOs: AI is just another system, and how people use it matters far more than the certifications attached to it.
Timestamps00:00 Episode Trailer
01:01 Chainguard ad
01:28 Intro and the March 2026 ISM update
03:00 AI hype vs real world utility
05:00 Governance and compliance use cases
08:00 Vendor assessments and knowledge base automation
11:00 Skill erosion and the junior roles question
14:00 AI in pen testing: reporting, scoping and customer experience
17:30 The maturity model for AI adoption
21:00 Vibe coding, slop assurance and fatigue at scale
25:00 Agents watching agents and the bot vs bot future
28:30 Australian AI sovereignty and the brain drain risk
32:00 Top tip for government CISOs on AI risk
35:00 Shadow AI and DNS log visibility
37:00 Closing remarks
🐙 Secured is grateful to be sponsored and supported by Chainguard.
Chainguard is the trusted source for open source. Get hardened, secure, production-ready builds so your team can ship faster, stay compliant, and reduce risk. Download your free CVE Reduction Assessment at https://dayone.fm/chainguard
Secured is part of Day One.Day One helps founders and startup operators make better business decisions more often.To learn more, join our newsletter to be notified of new First Cheque episodes and upcoming shows.
Tara Whitehead is Security Engagement Manager at MYOB. Prior to becoming a cybersecurity specialist, Tara had an eclectic career, including working in advertising and international relations. In this episode Tara chats with Cole about how her non-technical background has in many ways been an asset working in security, leading change management in large enterprises, the importance of great communication skills, and plenty more.
Timestamps7:15 - Tara's first days in AppSec
10:00 - How to influence people
12:30 - Why we should dial back on the doomsday conversation
14:10 - Find your change champions
21:30 - Is a non-technical background help or hindrance?
23:30 - Communication and influencing key skills
26:00 - Communicating with execs
28:20 - Rapid fire questions
🐙 Secured is grateful to be sponsored and supported by Chainguard.
Chainguard is the trusted source for open source. Get hardened, secure, production-ready builds so your team can ship faster, stay compliant, and reduce risk. Download your free CVE Reduction Assessment at https://dayone.fm/chainguard
Secured is part of Day One.Day One helps founders and startup operators make better business decisions more often.To learn more, join our newsletter to be notified of new First Cheque episodes and upcoming shows.
Mentioned in this episode:
Download your free CVE Reduction Assessment
Chainguard is the trusted source for open source. Get hardened, secure, production-ready builds so your team can ship faster, stay compliant, and reduce risk.
December 2025 - Chainguard
Welcome back to the FNDN Series, where we continue our deep dive into startup compensation with industry leaders from across the startup world. In our conversation with James Seechurn, author of What Pay Costs and Nothing Left to Take Away, we challenge everything you thought you knew about compensation. James dismantles the myths behind pay for performance models, merit cycles, and competency frameworks while exploring why companies fail to pay people fairly. We dive into the tension between chaos and control in startups, examine the future of work in an AI-driven economy, and discuss how participative workforces and employee ownership can transform company culture. Stick around for one of the most eye-opening conversations about compensation you'll ever hear.
James Alexander Seechurn is an author and advisor specializing in sales compensation, incentives, and the design of reward systems. He advises companies on how pay, job architecture, and performance systems shape behavior, culture, and long-term outcomes. James is the author of Nothing Left to Take Away and What Pay Costs, where he challenges conventional pay-for-performance thinking and draws on research, history, and real-world examples to rethink how organizations motivate people.
Chapters:
00:44 Guest Introduction: James Seechurn
02:26 The Balance of Chaos and Control in Startups
07:04 Pay Transparency and the Failure of Fair Compensation
11:35 Why Companies Haven't Paid People Fairly
16:23 Making the Economic Case for Fair Pay
20:43 Innovation Failures: BlackBerry, Google, and Kodak
26:45 Employee Ownership vs VC-Backed Models
31:35 The Problems with Merit Cycles and Pay for Performance
37:11 Why Competency Frameworks Infantilize Employees
43:22 Career Progression as the True Reward
48:37 Pay Tiers and Living Wages: A Better Approach
56:21 Peer-to-Peer Rewards and Participative Workforces
1:03:57 Advice for Startup Leaders: Trust Your People
1:12:39 The Future of Work in a Stagnant Wage Environment
1:21:02 Fractional Work and the Possible Return of Unions
1:27:21 The Executive Pay Problem
1:33:35 The Role of a Great CEO
Connect with James
Visit: LinkedIn profile https://www.linkedin.com/in/james-seechurn/
Guest: James Seechurn
Resources Mentioned
Books:
What Pay Costs by James Seechurn
Nothing Left to Take Away by James Seechurn
The Hidden Brain - Book on inherent bias
The Progress Principle by Teresa Amabile
Companies Mentioned:
Semco (Brazil) - Employee-owned participative workforce model
Valve - Gaming company with employee-decided structure
Morning Star (US) - Participative workforce example
PayPal - Living wage implementation
Whole Foods - Early pay transparency adopter
Carter - No negotiation pay stance
Emco (Brazil) - Employee ownership and salary-setting model
Concepts:
Knowledge work (Peter Drucker, 1959)
Cognitive closure (Ari Lansky)
Self-perception theory and self-determination theory
ESOPs (Employee Share Ownership Programs)
DAOs (Distributed Autonomous Organizations)
More FNDN Episodes:
Spotify: https://open.spotify.com/show/4GeBIeZOKrFxG1oiiPxmiM
Apple Podcast: https://podcasts.apple.com/us/podcast/fndn-series/id1794263484
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