Building Tech Teams with James MacDonald

Building Tech Teams is a weekly podcast on how Australia hires, builds, and leads tech teams in the age of AI. Host James MacDonald sits down with the founders, CTOs, VPs of Engineering and People Leaders building Australia's best tech teams, from startups to enterprise, on what actually works. How they hire, how they build and lead their teams, and the calls that made or broke them. It is built for the leaders making the hire and the tech professionals making the move. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the team that spent more than three years helping to build Blackbird Ventures' Wild Hearts into one of Australia's best-known founder podcasts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

  1. 6d ago

    Why "Show Me Your Harness" Beats Any Coding Test: Adam Witanowski, AI Architect

    Most technical interviews still ask a candidate to write a function on a whiteboard. Adam Witanowski says that question is already obsolete, and what should replace it says everything about how AI is changing who gets hired. In this episode of Building Tech Teams, James MacDonald sits down with Adam Witanowski, AI Architect at nib, where he has spent the past several years building the insurer's AI engineering practice from the ground up. They get into why most enterprise AI projects underperform (nobody is measuring the right things), what "back pressure" means for AI-generated code, why Australian salaries can't compete with the US for senior AI talent, and why the technical interview needs a full rebuild. It's a hands-on, practitioner's take on what's actually happening inside enterprise AI teams, not the conference-keynote version. They cover the real dollar gap between hiring an AI engineer in Australia versus the US, why "the whiteboard should come back" as an interview tool, how Adam built his own AI agent to interview for jobs on his behalf, and the testing harness his team uses to check whether AI-generated work is actually any good. CHAPTERS 0:00 - Cold open: the line that explains why most AI investments don't work 0:44 - Who Adam Witanowski is, and why James wanted him on 2:06 - Welcome, and building an AI SDLC from scratch inside a regulated insurer 5:12 - What "back pressure" actually means, and why solo AI coding doesn't scale 10:52 - Startups vs enterprises: re-engineer whole processes, not thin slices 13:24 - Why most companies can't even measure the problem they're trying to solve 17:10 - Software eats the world, and why that makes engineers apex predators 19:44 - Build in-house or buy: the blind spots consulting companies won't tell you 23:57 - Forward deployed engineers, and the rise of the hybrid product-engineer 26:38 - Tangent: his 13-year-old builds an AI auto-aimbot 30:43 - Build, upskill or outsource: the renters, owners and caretakers test 34:18 - What AI talent actually wants beyond a bigger title 38:30 - The real dollar gap: $220K in Australia versus $500K in the US 46:37 - What to actually pay your first AI hire 49:01 - "What you don't measure, you can't change" 51:01 - Redesigning the interview: show me your harness 56:45 - Why the whiteboard should come back 58:38 - Building a harness to test his harness 1:03:46 - He built his own AI agent to interview for him 1:07:28 - Why motivation and taste still beat any technical test 1:12:19 - Apex predator, Jedi, stallion, unicorn: Adam's closing line 1:13:00 - James's takeaway: it's a measurement problem, not a technology problem ABOUT THE GUEST Adam Witanowski is an AI Architect at nib in Sydney, where he has built Prometheus, an integrated suite of agentic AI tools now running in production across the business. He works at the intersection of senior engineering and AI leadership, and has spoken publicly on enterprise AI engineering discipline, including harness design, testing and evals, and AI governance. LINKS Adam Witanowski, NIB · LinkedIn: https://www.linkedin.com/in/witanowski/ James MacDonald, NTP Talent · LinkedIn: https://www.linkedin.com/in/jamesmacdonaldau/ · Site: https://ntptalent.com.au Hosted by James MacDonald, Managing Director of NTP Talent. --- Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    Why "Show Me Your Harness" Beats Any Coding Test: Adam Witanowski, AI Architect
  2. Aug 3

    The Junior Engineer Isn't Needed Anymore: Cloë Stanbridge, Talent Lead at Airtree

    The junior engineer used to be the safe first hire. Cloë Stanbridge says AI just made that job disappear, and that's only the start of what's rewriting tech hiring right now. In this episode of Building Tech Teams, James MacDonald sits down with Cloë Stanbridge, Talent Lead at Airtree, one of Australia's most active venture capital firms. Cloë spends her days helping early-stage founders make their first engineering hires and helping later-stage companies scale their teams, work she's done from both sides, having previously led talent through a hypergrowth stretch at SafetyCulture and embedded inside scaling companies at The Lab17. They get into what actually makes a founder an "outlier" worth backing, why some founders eventually have to admit they've become the bottleneck in their own company, why the traditional junior engineer role is disappearing, and how Airtree's new Frontiers program is drawing hundreds of applications from engineers ready to go out on their own. It's a hiring-trenches conversation full of specific, hard-won detail: the real numbers behind scaling a team from 60 to 350 people, why some recruiters place better talent because they simply know the team better, the AI tools on both sides of the hiring desk, and the line that sums up what's actually scarce in tech right now: everyone can build, not everyone can sell. Chapters0:00 Cold open: why the junior engineer is disappearing 0:40 What this episode covers 1:40 Welcome: Cloë Stanbridge, Talent Lead at Airtree 1:56 A day in the life of a VC talent lead 2:10 Investing from pre-seed to growth stage 2:57 How talent gets involved at each stage 4:15 What makes a founder an "outlier" 5:02 Hiring the first few engineers 5:48 Case study: scaling a young founder's team 7:39 When a technical founder gets pulled in every direction 9:01 Hiring junior engineers in the age of AI 11:03 Why "junior" now means doing mid-level work 12:05 The fear of hiring someone more senior than you 13:02 When founders step back into R&D 13:32 Zero-to-one vs. scaling personalities 14:08 Inside Airtree's Frontiers program 15:24 Why engineers are leaving big companies to found startups 15:57 Retention, ESOP, and leaner teams 16:45 Why managers now need to be hands-on architects 17:25 Why no job is safe from redundancy anymore 18:39 The squeeze on middle management 19:34 Hiring people leaders too late 21:34 What actually keeps people "sticky" 21:58 Leadership lessons from Brené Brown and Kim Scott 22:41 Embedding inside scale-ups at The Lab17 25:15 Setting a new hire up to succeed, or fail 27:49 How the market flipped after COVID 28:21 When a huge engineer salary is worth it 31:08 Competing with Silicon Valley salaries 31:37 How Linktree built culture as a differentiator 32:52 Cash versus flexibility in a cost-of-living crisis 33:40 Being upfront about the grind before they sign 35:20 Remote work and the culture question 36:55 Why go-to-market matters more than ever 37:46 Expanding into the US market 40:10 Do founders have to relocate for funding? 41:34 Bringing Australian talent back home 42:36 From 60 to 350: scaling at SafetyCulture 47:04 Why recruiters need to know "their dog's name" 47:46 Being a thought partner, not a salesperson 48:47 Hiring for potential over a checklist 50:39 Why problem-solving beats a technical checklist 51:47 How AI is changing technical interviews 53:38 Trial days: hiring by actually working together 55:25 Screening out "AI slop" in applications 56:21 Spotting an AI-written cover letter 57:34 Using AI without losing the human element 57:52 Where voice agents fit and where they don't 58:39 The AI tools Cloë uses to research candidates 59:25 Cloë's top 3 AI skills for recruiting 1:00:45 James's AI-powered morning brief 1:01:58 Wrap-up and thanks 1:02:11 James's takeaways from the episode About the GuestCloë Stanbridge is Talent Lead at Airtree, where she partners with the firm's portfolio to connect founders with top talent, build scalable hiring processes, and develop playbooks that support sustainable growth. Before Airtree, she spent over four years at The Lab17, embedding inside scaling companies including Linktree and Immutable to build out their hiring practices, and led talent through a hypergrowth stretch at SafetyCulture, taking the engineering team from around 60 people to 350 in two years. LinksCloë Stanbridge · Airtree · LinkedIn: https://www.linkedin.com/in/cloestanbridge/James MacDonald — LinkedIn: https://www.linkedin.com/in/james-macdonald-au/NTP Talent: https://ntptalent.com.au/Day One: https://dayone.fm/ Hosted by James MacDonald, Managing Director of NTP Talent. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    The Junior Engineer Isn't Needed Anymore: Cloë Stanbridge, Talent Lead at Airtree
  3. Jul 27

    How to Build AI Capability Without Chasing Every New Model, with Patrick McQuaid

    Most organisations are asking which AI model they should use. Patrick McQuaid thinks that is the wrong conversation. Patrick is Group Head of Data, Analytics & AI at NGM Group. He joins James MacDonald to explain how leaders can build practical AI capability without getting trapped by hype, vendor lock-in or an endless cycle of new tools. They discuss how NGM approaches AI inside a regulated banking environment, where privacy, risk and customer trust make it impossible to turn a weekend prototype straight into production. Patrick explains why teams need both strong foundations and useful short-term wins, why the people closest to the work should own their technology costs, and where generative AI should not be used for decision-making. The conversation also explores what AI means for technical careers. Patrick shares why he hires for attitude, curiosity and problem-solving ability, rather than waiting for candidates with years of experience in technology that has only just emerged. He and James discuss the continuing value of junior engineers, the rise of AI enablement and orchestration roles, and the human skills that remain difficult to automate. If you are responsible for introducing AI into an established organisation, hiring a technical team or preparing your own career for the next wave of change, this episode offers a grounded alternative to the fear and hype. Chapters0:00 — Stop arguing about AI models0:46 — What this episode covers1:15 — Meet Patrick McQuaid1:38 — Leading experts without being the deepest technical expert4:37 — Deployment, flexibility and avoiding model lock-in6:45 — Vibe coding versus production inside a regulated bank8:30 — Shadow AI and choosing enterprise tools10:10 — Junior engineers and hiring for attitude16:15 — Who should own AI and token costs?19:34 — Building, buying or partnering for AI capability21:21 — Where generative AI does not belong25:41 — Joining NGM during a major data transformation30:17 — Building foundations and delivering quick wins34:20 — Planning in a fast-moving AI market35:45 — Agentic tools and the value of staying flexible37:04 — Can specialist software companies defend their advantage?39:18 — What organisations should and should not build themselves41:33 — Technology's role in a human business49:44 — The human skills AI cannot replace52:33 — What AI could mean for the next generation54:33 — Remote work, relationships and learning together58:35 — Cutting through AI FOMO and LinkedIn hype1:00:27 — The AI advantage for smaller organisations1:01:24 — Managing legal, financial and reputational risk1:06:43 — AI sycophancy and why chatbots agree with you1:07:57 — The skills technology professionals should build now1:09:26 — AI enablement and orchestration roles1:12:46 — James's key takeaway About the GuestPatrick McQuaid GAICD is Group Head of Data, Analytics & AI at NGM Group, one of Australia's largest customer-owned banking groups. NGM Group operates the Greater Bank and Newcastle Permanent brands. LinksPatrick McQuaid — LinkedIn: https://www.linkedin.com/in/patrick-mcquaid/NGM Group: https://www.ngmgroup.com.au/National AI Centre: https://www.industry.gov.au/science-technology-and-innovation/technology/artificial-intelligence/national-ai-centreJames MacDonald — LinkedIn: https://www.linkedin.com/in/james-macdonald-au/ · NTP Talent: https://ntptalent.com.au/Day One: https://dayone.fm/ Hosted by James MacDonald, Managing Director of NTP Talent. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    How to Build AI Capability Without Chasing Every New Model, with Patrick McQuaid
  4. Jul 20

    Are Your People More Productive or Just Faster? Claudia Barriga-Larriviere, Startup Flamingo

    Every great team she has ever seen shares one trait: they are comfortable with discomfort. Claudia Barriga-Larriviere has spent nearly 20 years building people and culture inside startups and global enterprises — and she thinks most of the AI conversation is quietly dodging the hard, human questions. In this episode of Building Tech Teams, James MacDonald sits down with Claudia Barriga-Larriviere — people-and-culture leader and founder of Startup Flamingo — for a practitioner-to-practitioner conversation on how capable people actually build teams. They get into self-awareness as a muscle rather than a gift, why Australia's love of harmony quietly kills direct feedback, and the difference between a team that is genuinely high-performing and one that is just stressed and running fast off a cliff together. Then it turns to AI — not as weather to brace for, but as a tool you have to point somewhere. Are your people more productive, or just faster? What do you lose when you automate the uncomfortable parts of the job — the feedback loop, the one-on-one, the human connection — and who is a flattened, agent-run org actually built for? Claudia makes the case that AI should augment an already good team, that you have to build that team first, and that the leaders winning this moment are the ones asking better questions instead of racing to be first. It's a conversation about discomfort, storytelling, balanced teams, and keeping the human in a human organisation. Chapters0:35 — The one trait every great team shares: comfortable with discomfort (plus self-awareness)1:46 — Is self-awareness born or built? Temperament, empathy and psychological safety3:28 — Why leaders dodge the hard conversation3:59 — Cutting her teeth on GFC redundancies: directness and an American education6:04 — Australia's harmony problem vs direct feedback6:43 — What "high performance" actually means (and what it doesn't)7:42 — The feedback loops we outsource because they're uncomfortable9:17 — Protect the plan, or chase the Nazis? An Indiana Jones lesson for leaders11:18 — Read fiction: storytelling, empathy and depersonalising feedback14:35 — Praise the person, critique the work — and when to call it out16:55 — Overconfident founders and the case for yin-and-yang teams18:39 — Powers of Two: debunking the lone genius (Lincoln, Lennon & McCartney, Jobs & Woz)23:13 — Hire for change, not to fit in24:20 — The maths of a founding team: builder, organiser, learner26:41 — Glue vs grease: does your team need cohesion or speed?28:53 — Project or person? The metabolism of a team29:47 — AI is a tool, not the weather33:16 — The narrative vs the technology — and the Tickle Me Elmo problem41:14 — Slow down to speed up: when the market rewards layoffs42:32 — The CPO's dilemma: more productive, or just faster?45:04 — When is the risk no longer worth it? (You're paying by the token)48:21 — Longevity isn't impact: off-ramps and the retention vanity metric49:52 — Is AI making the manager redundant?52:54 — The automatic ball thrower: what you lose when you automate connection58:31 — AI augments a great team — but you have to build that team first59:18 — Departing advice: play the tape to the end, and be in the business you're in1:03:32 — Purpose over "who gets there first" — go touch some grass About the GuestClaudia Barriga-Larriviere is a people-and-culture leader with nearly 20 years building teams across startups and global enterprises, and the founder of Startup Flamingo. LinksClaudia Barriga-Larriviere — Startup Flamingo: startupflamingo.comJames MacDonald — LinkedIn · NTP Talent (NewyTechPeople): ntptalent.com.au Hosted by James MacDonald, Managing Director of NTP Talent. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    Are Your People More Productive or Just Faster? Claudia Barriga-Larriviere, Startup Flamingo
  5. Jul 13

    AI Can’t Replace Domain Expertise — Nathan Hill, Head of Telco at AWS

    The business wants AI, and it wants it yesterday. But once the proof of concept works and the partner goes home, someone inside the company has to keep the thing running. Nathan Hill, Head of Telco at AWS and a 20-year veteran of the telco industry, joins James to talk about what actually happens when enterprises push AI into production — and why the scarcest asset in the room is still deep domain knowledge. In this episode: - Why "we need to do AI, the board's pushing for it" so often collides with the buy-versus-build question no one has answered internally. - Where AI rollouts go wrong: over-engineering a basic problem, or buying an off-the-shelf tool and expecting it to be bespoke. - The proof-of-concept trap — projects that "prove AI works" but were never built with a path to production. - Why "AI native" doesn't translate cleanly to banks and telcos carrying 20–30 years of legacy and technical debt, and why the outcome should drive the tech strategy, not the reverse. - The handover problem in one line: "If your chatbot starts spitting out Gordon Ramsay recipes instead of the answer, who in your organisation can fix it?" - Centralise-then-seed: standing up an AI centre of excellence without creating an isolated team of "cool kids" cut off from the business (with a NASA analogy on risk). - Why you can't take 20 years of experience, grab a dev and say "now you know telco" — and how the tooling finally lets domain experts build. - Human-in-the-loop for critical infrastructure, digital twins of telco networks, and ICs becoming managers of agents. - The question James keeps asking: if I'm managing a team of agents at 10x productivity, what should I actually be paid? - Deep versus broad careers, how go-to-market has changed, and whether it's easier to teach a salesperson the tech or an engineer to sell. Nathan Hill is Head of Telco at AWS, leading the company's engagement across Australian telcos. Before AWS he spent more than 20 years inside the telco industry — operations, engineering, pre-sales and sales — and ran sales and marketing for a challenger telco. He has a rare view across both the technical build and the go-to-market that sells it. Building the team that has to make AI stick in production? This one's for you. Connect with Nathan Hill on LinkedIn. Learn more about AWS in telco at aws.amazon.com. --- Episode Summary The business wants AI now — but who keeps it running once it's live? Nathan Hill, Head of Telco at AWS and a 20-year telco veteran, sits down with James MacDonald to unpack what really happens when enterprises move AI from proof of concept to production. They dig into the buy-versus-build decision most organisations skip, why so many AI projects stall with no path to production, and the operating-model questions — who maintains it, who fixes it when it breaks — that companies leave until it's too late. Nathan makes the case that deep domain expertise is the asset AI can't replace: you can't grab a dev and say "now you know telco," but you can finally give 20-year network engineers the tools to build. They also get into human-in-the-loop for critical infrastructure, ICs becoming managers of agents and what that's worth, deep-versus-broad careers, and how the go-to-market function is changing now that the salesperson has to understand the tech. Practical, grounded, no hype. Time Stamps 0:00 "I'm managing a team of agents now — what should I be paid?" 1:30 Meet Nathan Hill, Head of Telco at AWS 2:58 "The board wants AI": the buy-versus-build question 4:30 Where AI rollouts go wrong 6:35 Start with a use case — but build a path to production 8:09 Is "AI native" realistic for banks and telcos? 9:36 Speed versus security in regulated industries 11:56 The handover problem: who maintains it? 15:21 AI centres of excellence and the NASA analogy 18:26 "You can't grab a dev and say now you know telco" 21:30 Why agents won't replace engineers 23:41 Managing a team of agents — what's that worth? 25:03 Deep versus broad: staying in one vertical 27:08 How go-to-market has changed 29:59 Teach a salesperson the tech, or an engineer to sell? 32:58 Building a go-to-market function from scratch 38:03 Why the "SaaS apocalypse" is wrong 39:56 Upskilling into modern go-to-market 41:21 Career advice: back yourself 42:42 James's takeaway: domain experts who learn to build About the host James MacDonald is the founder and Managing Director of NTP Talent (Newy Tech People), an Australian tech and engineering recruitment firm headquartered in Newcastle with teams in Sydney and Melbourne. He hosts Building Tech Teams, helping companies up the East Coast of Australia find and recruit the best technology talent. Connect with James on LinkedIn (/JamesMacDonaldAU) or at ntp-talent.com.au. About Day One Network Day One is a podcast production company and trusted partner in the technology space, producing shows for founders, investors and operators across Australia and beyond. Building Tech Teams is part of the Day One Network, which cross-promotes episodes across a slate of technology and venture shows. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    AI Can’t Replace Domain Expertise — Nathan Hill, Head of Telco at AWS
  6. Jul 6

    Guardrails Are Just Suggestions: Securing AI Agents with Okta's Kevin Akermanis

    The business wants AI now. The people who have to secure it are being told to move faster while their budgets shrink. Kevin Akermanis, Solutions Architect at Okta and a 15-year Salesforce veteran, sits down with James MacDonald to unpack what really happens when enterprises rush AI into production: security funding flatlining, breaches becoming the cost of doing business, and a collapsed architecture that pushes security down to the data layer. They dig into why AI agents are a new class of non-human identity that can roam anywhere, why guardrails are only suggestions for something non-deterministic, and the scoped, time-limited, valet-key approach that actually contains the risk. They also tackle the harder people problem: if juniors get automated out, who backfills the seniors, and why knowing what good looks like still beats anything you can vibe-code. Practical, sceptical, no hype. Time Stamps 0:00 The business says "we need to AI now" 2:53 The real tension: speed vs protecting company IP 7:22 Security budgets shrink while AI gets the money 11:28 When breaches become the cost of doing business 13:42 New attack surfaces and the hiring-bot breach 18:14 Experience still matters: who backfills the seniors? 46:39 Agents as non-human identities: scope and guardrails 55:03 Where to start with AI safely 57:37 Why the Australian market cares about MCP About the host James MacDonald is the founder and Managing Director of NTP Talent (Newy Tech People), an Australian tech and engineering recruitment firm headquartered in Newcastle with teams in Sydney and Melbourne. He hosts Building Tech Teams, helping companies up the East Coast of Australia find and recruit the best technology talent. Connect with James on LinkedIn (/JamesMacDonaldAU) or at ntp-talent.com.au. About Day One Network Day One is a podcast production company and trusted partner in the technology space, producing shows for founders, investors and operators across Australia and beyond. Building Tech Teams is part of the Day One Network, which cross-promotes episodes across a slate of technology and venture shows. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    Guardrails Are Just Suggestions: Securing AI Agents with Okta's Kevin Akermanis
  7. Jun 29

    Why Your First Hire Isn't an Engineer Anymore — Michael Batko, ex-Startmate CEO

    The first hire used to be an engineer. Michael Batko thinks that's now backwards — and that's just the start of how AI is rewiring the way you build a tech team. In the first episode of Building Tech Teams, James MacDonald sits down with Michael Batko — who spent eight years as CEO of Startmate backing 240+ startups, and now runs the AI-native venture batko.ai. They get into what actually changes when the cost of building drops to near zero: why go-to-market now comes before engineering, why the 10x engineer is finally real, what "AI-native" means for a person and for a company, and how to lead a team through it without torching your culture. It's a practitioner-to-practitioner conversation with real opinions and real scar tissue — hiring for attitude over skill, the rise of the AI chief of staff, the squeeze on middle management, and why your hard-won experience is the one moat AI can't copy. Chapters0:46 — Why James launched the show, and why Batko is guest #12:00 — The first hire has flipped: go-to-market before engineers3:49 — Where real software engineers still matter (and the "vibe-coding" ceiling)9:01 — What "AI-native" actually means — building your personal, then company, "brain"12:06 — Agent hierarchies: one agent / one job, and the AI chief of staff14:50 — Getting AI into a traditional business: permission to play + an AI policy (and the IP-leak risk)17:25 — Quick wins: process-mapping by voice, and the dictation tool that changes the game20:54 — Your first 5–10 hires: attitude over skill, hungry over proven, junior over senior25:58 — Team size, layoffs, "AI-washing", and the shrinking PM-to-engineer ratio34:55 — The one skill AI can't replace: people management48:07 — Why you still want humans in the room: inspiration, fresh eyes, first-principles51:40 — Facing the fear: lean in, automate yourself out, take the skills with you58:33 — Taste, authenticity, and experience as your real moat63:54 — Batko's playbook for any company starting now About the GuestMichael Batko spent eight years as CEO of Startmate, where he backed 240+ early-stage companies, and now builds AI-native tools for founders and businesses at batko.ai. LinksMichael Batko — batko.ai · LinkedIn: https://www.linkedin.com/in/batkomichaelJames MacDonald — LinkedIn: https://www.linkedin.com/in/james-macdonald-au · NTP Talent: https://ntptalent.com.au Hosted by James MacDonald, Managing Director of NTP Talent. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the production partner behind Blackbird Ventures' Wild Hearts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

    Why Your First Hire Isn't an Engineer Anymore — Michael Batko, ex-Startmate CEO

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Building Tech Teams is a weekly podcast on how Australia hires, builds, and leads tech teams in the age of AI. Host James MacDonald sits down with the founders, CTOs, VPs of Engineering and People Leaders building Australia's best tech teams, from startups to enterprise, on what actually works. How they hire, how they build and lead their teams, and the calls that made or broke them. It is built for the leaders making the hire and the tech professionals making the move. Building Tech Teams is produced by Day One®, trusted partners in the technology space and the team that spent more than three years helping to build Blackbird Ventures' Wild Hearts into one of Australia's best-known founder podcasts. Sister shows include First Cheque, Oversubscribed and In The Blink of AI. Episodes are cross-promoted across the network.

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