Humans of Martech cover art

All Episodes

Humans of Martech — 220 episodes

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1

219: Elizabeth Dobbs: Inside Databricks' stack with 3 AI agents, 1 lakehouse, and 6 years of data work

2

218: Tata Maytesyan: Build a marketing career that survives AI as a deep generalist

3

217: How to interview a company before you take the job (The Martech job hunt survival guide, part 3)

4

216: How to stand out as a candidate with AI prep, portfolios and tools (The Martech job hunt survival guide, part 2)

5

215: How to find hidden job opportunities (The Martech job hunt survival guide, part 1)

6

214: Austin Hay: Claude Code is creating a new class of elite marketers and the mental models that make it click

7

213: John Whalen: The next marketing advantage is pre-testing ideas on synthetic users

8

212: Tobias Konitzer: The Causal AI revolution and the boomerang effect in marketing decision science

9

211: Jenna Kellner: Overcoming frankenstacks and AI uncertainty with first principles and business judgement

10

210: Ronald Gaines: 6 Things the next generation of marketing ops leaders must learn

11

209: Maria Solodilova: Why Adtech is really a marketplace with its own economics

12

208: Anthony Rotio: Exploring causal context graphs and machine customers, starting in retail media networks

13

207: Building a career that doesn't hollow you out (50 Operators share the systems that keep them happy, part 3)

14

206: The people who keep you standing (50 Operators share the systems that keep them happy, part 2)

15

205: The daily infrastructure behind sustainable careers (50 Operators share the systems that keep them happy, part 1)

16

204: Phyllis Fang: Trust infrastructure and freakish curiosity as career growth levers

17

203: Jordan Resnick: How to distinguish fake traffic from real machine customers

18

202: Aleyda Solís: AI search crawlability and why your site’s technical foundations decide your visibility

19

201: Scott Brinker: If he reset his career today, where would he focus?

20

200: Matthew Castino: How Canva measures marketing

21

199: Anna Aubuchon: Moving BI workloads into LLMs and using AI to build what you used to buy

22

198: Pam Boiros: 10 Ways to support women and build more inclusive AI

23

197: Anna Leary: The Art of saying no and other mental health strategies in marketing ops

24

196: Blair Bendel: The World of casino marketing and the tech that brings it to life

25

195: Megan Kwon: How One of Canada’s largest retailers orchestrates messaging, and structures martech

26

194: Jane Menyo: How Gong democratized customer proof with AI research and standardized prompts

27

193: David Joosten: The Politics and architecture of martech transformation

28

192: Angela Vega: Expedia’s Martech leader on ADHD, discernment, and the art of picking battles in martech

29

191: Aboli Gangreddiwar: Self healing data agents, hivemind memory curators and living documentation

30

190: Henk-jan ter Brugge: The Head of Martech at Philips thinks martech has outgrown marketing and it’s time we lead like pirates

31

189: Aditi Uppal: How to capture, activate and measure voice of customer across go to market efforts

32

188: Rebecca Corliss: Why lifecycle marketers will thrive in the agentic marketing org

33

187: John Saunders: Building the ultimate operating engine for a modern agency

34

186: Olga Andrienko: Ex-VP at Semrush left her 35-person brand team to build AI for marketing ops

35

185: Jonathan Kazarian: Platforms vs point solutions and the marketing operator’s dilemma

36

184: Nadia Davis: How to decide if attribution data is good enough to guide strategy

37

183: Kevin White: Building a super IC role to escape management burnout and fixing the broken promise of AI SDRs

38

182: Simon Lejeune: Wealthsimple’s VP of Growth on 2 keys to be a top 5% marketer

39

181: Alison Albeck Lindland: Climb the AI Literacy Pyramid and Stand Out as a Customer‑First Marketer

40

180: István Mészáros: Merging web and product analytics on top of the warehouse with a zero-copy architecture

41

179: Tiankai Feng: The comeback of data quality and how NLP is changing the data analyst role

42

178: Guta Tolmasquim: Connecting brand to revenue with attribution algorithms that reflect brand complexity

43

177: Chris O’Neill: GrowthLoop CEO on how AI agent swarms and reinforcement learning boost velocity

44

176: Rajeev Nair: Causal AI and a unified measurement framework

45

175: Hope Barrett: SoundCloud’s Martech Leader reflects on their huge messaging platform migration and structuring martech like a product

46

174: Joshua Kanter: A 4-time CMO on the case against data democratization

47

173: Samia Syed: Dropbox's Director of Growth Marketing on rethinking martech like HR efforts

48

172: Ankur Kothari: A practical guide on implementing AI to improve retention and activation through personalization

49

171: Kim Hacker: Reframing tool FOMO, making AI face real work and catching up on AI skills

50

170: Keith Jones: OpenAI’s Head of GTM systems on building judgement with ghost stories, buying martech with cognitive extraction and why data dictionaries prevail

51

169: Elena Hassan: Visa acquires your startup but nobody warns you about the tech stack aftermath and enterprise culture shock

52

168: AI's Talent Crunch: Marketing jobs on the brink and those set to thrive

53

167: Moni Oloyede: The marketing ops identity paradox, why attribution is a waste of time and why GTM engineering is just sales ops

54

166: Constantine Yurevich: Visit Scoring, an alternative to MMM and MTA few marketers know about

55

165: Ashley Faus: Building content that matches actual human thinking by integrating lifecycle, content and product marketing

56

164: Ruari Baker: The 3 most important things you can do for email deliverability: Multi-subdomains, email validation 3.0 and good ol’ postmaster

57

163: Danielle Balestra: Building AI and Martech Stacks Inside Regulated Enterprise is More Rewarding Than Startups

58

162: Rich Waldron: How to build and manage AI agents from a single, composable platform without coding

59

161: Angela Rueda: Meta’s Director of Martech on build vs buy, vendor selection and hybrid stacks

60

160: Mac Reddin: How to leverage dinosaurs to get warm intros and drive better pipeline

61

159: Ana Mourão: Privacy-first data literacy and modernizing legacy martech at a global enterprise with data templates and POCs

62

158: Jeff Lee: How Calm’s Billion customer message machine unites martech and engineering

63

157: Sandy Mangat: How to fix outbound with a crystal ball and signal-powered AI agents

64

156: Chris Golec: The Godfather of ABM is on his 3rd company and he’s solving attribution for B2B marketers with AI

65

155: Meg Gowell: Typeform’s full stack marketer on growth experiments, brand momentum and warehouse-native stacks

66

154: Confessions of Product Marketing Misfits Who Actually Know GTM and Translate Marketing Buzzwords for Breakfast

67

153: Sundar Swaminathan: How Uber measures the ROI of marketing according to their former Growth Marketing Data Science Lead

68

152: Sarah Krasnik Bedell: A data eng turned marketer on embedded marketing analysts and batch vs webhook pipelines

69

151: Austin Hay: An operator’s guide to AI agents, composability, building in concert and self-designing APIs

70

150: Welcoming Darrell Alfonso as a co-host, celebrating baby milestones and the top 2 predictions for martech by 2030

71

149: Kacie Jenkins: Sendoso’s SVP of Marketing on capturing the true impact of marketing and avoiding reductive metrics

72

148: Stephen Stouffer: Understanding AI's Role in Customer Journeys and Messaging

73

147: Nataly Kelly: Making global feel local through the power of marketing localization

74

146: Jim Williams: The strategic role of marketing ops in annual planning

75

145: Barbara Galiza: The inconvenient truths of attribution no one wants to admit

76

144: Steven Aldrich: Identify the martech you really need with a bottom-up analysis

77

143: Danny Lambert: A guide to data transformation and building a warehouse-first martech stack

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142: Lourenço Mello: Snowflake's Product Marketing Lead on the marketing data stack of the future

79

141: Rutger Katz: Cutting through the fluff of Lean methodology and recognizing when process gets in the way of efficiency

80

140: Jared DeLuca: Appcues’ Director of Ops on integrating demo bookings within your product and using AI to uncover incremental lifts from drip campaigns

81

139: Ron Jacobson: Why multi-touch attribution excels in credit distribution but fails in causality

82

138: Erin Foxworthy: Snowflake’s Industry Lead on the future of data warehousing, from APIs to data sharing and a unified data layer

83

137: Liam Moroney: Rethinking measurement by balancing pipeline, brand, and long-term value in a nonlinear world

84

136: Benoit Leggieri: Livestorm’s Head of Growth on crafting revenue driving workflows with Customer.io

85

135: Pranav Piyush: Why multi-touch attribution is broken and what you should do instead

86

134: Jacqueline Freedman: Former leader at Grammarly and WeWork on how to become a trusted Martech advisor

87

133: Simon Heaton: Buffer’s Director of Growth Marketing on agile sprints, holdout testing and why a CRM or GA4 isn't in their tech stack

88

132: Ashleigh Johnson: Tales of a Marketing Technologist from Microsoft

89

131: Siobhan Solberg: A guide to ethical marketing with data minimization and privacy strategies

90

130: Sam Oh: Ahref’s VP of Marketing on how content marketers can stay relevant with AI

91

129: Re: Why Martech is Actually for Engineers

92

128: Vish Gupta: Why simplification should come before automation if you want to avoid a Frankenstack

93

127: Carmen Simon: Using brain science to deviate from expected patterns and create memorable content

94

126: Michael Rumiantsau: AI's role in democratizing data narratives for marketers

95

125: Michele Nieberding: Customer data infrastructure and server-side data processing

96

124: Angela Cirrone: How to pick between similar martech solutions and master platform migrations

97

123: Andrea Lechner-Becker: Creating content that people will give a f*ck about

98

122: Emily Kramer: The rise of pi-shaped marketers and picking future unicorns

99

121: Anthony Lamot: Why we’re all exhausted by marketing emails and what to do about it

100

120: Maja Voje: Untangling Go-to-Market for startup marketers and founders

101

119: Adam Greco: The Future of event-based web analytics and the overlapping landscape of data tools

102

118: Mandy Thompson: Intent data pitfalls, diagram-first automation, and agency-style team management

103

117: Julz James: Automation inception, teaching martech and unraveling intent data

104

116: Kevin Hu: How data observability and anomaly detection can enhance MOps

105

115: Amrita Mathur: ClickUp’s VP of Marketing on Optimizing for velocity of learning and balancing analytics with intuition

106

114: Mauro Figueiredo: Interview tips for finding martech talent and the risks of adopting AI as a learning substitute

107

113: Abby Gailey: Automating direct mail with webhooks, navigating B2B2C and leveraging Slack communities

108

112: Stephen Stouffer: The dawn of AI Ops and the practical wonders of combining AI tools with iPaaS

109

111: Jessenia Francisco: Leading MOps at Asana and Lucidchart, feeding on your own martech and overcoming imposter syndrome

110

110: Josh Kim: Notion’s Growth Marketing Lead on choosing and democratizing experiments and the marketer’s role in a growth pod

111

109: Deborah Mayen: Logitech’s Head of MOps on simplifying martech and antifragile cultures to withstand chaos

112

108: Ezra Fishman: Wistia’s VP of Growth on healthy data skepticism and North star metric limitations

113

107: Justin Norris: What MOPs can learn about AI from WALL-E and Star Trek

114

106: Crissy Saunders: Funnel reporting, composable automation and the future of outbound

115

105: Josh Hill: Mastering martech with a hands-on, exploratory approach and rigorous data hygiene

116

104: Paul Wilson: The Butterfly effect of martech pros and why they will bring a new hope for AI

117

103: Britney Muller: Deciphering the alien nature and the ethical complexities of LLMs

118

102: Revealing the secret prompts and process behind our AI images

119

101: Darrell Alfonso: The rise of StratOps, managing your stack like a product, and the cycle of startups and consolidation

120

100: Sara McNamara: Pathfinding via attribution, AI tool evaluation, and mastery in communication and boundary setting

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99: Striking a balance: Sustaining happiness and success in work and life

122

98: You shall not pass: Google's new spam guidelines and what it means for email marketers

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97: Lauren Aquilino: Alleviating burnout and recognizing the specialized skills in marketing ops

124

96: Natalie Miles: Building vs. buying martech, the power of generalists and assembling a composable CDP

125

95: Battle of the CDPs: Packaged vs. Composable, 10 experts weigh in

126

94: Ryan Gunn: HubSpot cheat codes, AI features, attribution and documentation

127

93: Tara Robertson: Cost-effective growth and creative attention in B2B

128

92: What's stopping AI from fully replacing marketers today? Insights from 10 industry experts

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91: David Chan: How dual-zone approach and journey orchestration are reshaping CDPs

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90: Lucie De Antoni: Startup alchemy, mixing data literacy and attribution with empathy and collaboration

131

89: The viability of warehouse-native martech: Insights from 10 industry experts

132

88: Tamara Gruzbarg: A hybrid approach to CDPs, white box predictive modeling and AI as a human in the loop system

133

87: Michael Katz: The Evolution of packaged CDPs, democratizing ML and the myths of composable and zero data copy

134

86: Deanna Ballew: Embracing open source composable martech, AI literacy and qualitative insights

135

85: Arun Thulasidharan: Warehouse-native martech and an alternative pricing model

136

84: Tejas Manohar: The past, present, and future of Composable CDPs

137

83: Kate Nowrouzi: Mailgun's VP of Deliverability on email subdomain strategies and inbox placement tools

138

82: Scott Brinker: Balancing excitement for AI and composability with a renewed focus on the human element in martech

139

81: Pini Yakuel: Self-optimizing campaigns, the cost of generalization and packaged Martech

140

80: Wyatt Bales: Redefining marketing with AI, SQL, full-stack pros, and the automation of end-to-end campaign requests

141

79: Aliaksandra Lamachenka: The rise of data product managers and the organic evolution of AI in marketing

142

78: Juan Mendoza: The ethics of generative AI, trust, transparency and the threat of dehumanization

143

77: Boris Jabes: Decoding the composable CDP, the future of data activation and AI in marketing

144

76: Dan Balcauski: Adventures in the world of SaaS pricing

145

75: Mike Rizzo: Building resilient Marketing Ops through community

146

74: Pratik Desai: A time traveler’s guide to martech and personalization

147

73: The art of healthy escapism and the importance of disconnecting from work

148

72: Bobby Tichy: AI and the future of Martech, a deep dive from SFMC to Braze

149

71: Find the top AI marketing tools and filter out the noise

150

70: Exploring new paths to future-proof your marketing career in the age of AI

151

69: How marketers can stay informed and become AI fluent

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68: How fast could AI change or replace marketing jobs?

153

67: How a marketing roadmap can keep your team focused

154

66: A guide to data models and dynamic dashboards for marketers

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65: It takes a village to build a dashboard

156

64: Procrastinator’s guide to Google Analytics 4

157

63: Recaping takeaways from guest episodes in season 1

158

62: Ramli John: Writing the book on product-led onboarding

159

61: Nick deWilde: How marketers can get started in web3

160

60: Kamil Rextin: Death to personal branding and dark social

161

59: Emma Paajanen: Marketing a technical product to a technical audience

162

58: Dave Rigotti: What is Product-Led Growth and why you should care

163

57: Adriana Gil Miner - Marketing is the most diverse department

164

56: Michael King: Decoding Search Engine Algorithms

165

55: India Waters: The path to promotions is raising your hand up

166

54: A blueprint for getting a job at a company you love

167

53: Samar Owais: Rethinking your email discount strategy

168

52: Corey Haines: Writing the book on startup marketing

169

51: We're back for season 2!

170

50: How do you stay happy at work and balance home life?

171

49: How to get to 50 episodes on your podcast

172

48: When to quit your job and follow your North Star

173

47: Vladlena Mitskaniouk: Grow your marketing career one data mystery at a time

174

46: Danica Bateman: A day in the life of a Marketing Automation Manager

175

45: An alternative to the T-Shaped marketer

176

44: Roxanne Pepin: Startups and the ability to learn RevOps

177

43: There’s a domain reputation behind every email

178

42: Exit through the promos tab, even as a brand

179

41: Manuela Barcenas: From first marketer to team manager

180

40: Sustainable growth marketing experimentation

181

39: Pierce Ujjainwalla: Creativity in marketing is under attack

182

38: How skilled do you need to be at marketing reporting?

183

37: Shannon McCluskey: Searching for remote martech pros

184

36: Email marketing audits part 3: Trigger-based behaviour segments FTW

185

35: Email marketing audits part 2: Confirm, welcome but don’t sell too early

186

34: Email marketing audits part 1: For the love of understanding your audience

187

33: What is async work and is it truly attainable?

188

32: Is the future of Martech no-code?

189

31: Marketing Artifacts and the website of doom

190

30: Be productive, stay sane and healthy

191

29: Diet SEO for lean gains 💪

192

28: Beware false marketing idols

193

27: Erin Blaskie: Startup marketing, in-house vs freelance

194

26: Melissa Ledesma: Women of Martech

195

25: Naomi Liu: How to ace your first marketing job

196

24: Why marketers should learn to code

197

23: Don Draper style storytelling in your presentations #topmartechprospects

198

22: 6 Things recent marketing grads should STOP doing #topmartechprospects

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21: How to balance personal branding and privacy #topmartechprospects

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20: The starter pack for new digital marketers #topmartechprospects

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19: Steffen Hedebrandt: Reaching B2B attribution nirvana

202

18: Make the most of your welcome email in your onboarding campaign

203

17: Julie Beynon: Making marketing analytics not intimidating

204

16: Lifecycle: A Martech Saga part 5: No sales people were harmed in the making of your lifecycle

205

15: Lifecycle: A Martech Saga part 4: Picking the right MQL model

206

14: Lifecycle: A Martech Saga part 3: A simple formula for a basic lifecycle

207

13: Lifecycle: A Martech Saga part 2: Don’t overthink lifecycle

208

12: Lifecycle: A Martech Saga part 1: Future-proof your Martech with lifecycle

209

11: Jonathan Simon: Do you still need a degree to have success in marketing?

210

10: Nick Donaldson: Curiosity, learning & success in your MOPs career

211

09: Dynamic areas are your conversion secret weapon

212

08: Why your job is better than getting eaten by lions

213

07: Brian Leonard: Be friends with engineering with open source Martech

214

06: The best email program you'll ever build

215

05: Lauren Sanborn: Happiness at the intersection of sales & marketing

216

04: Handwriting makes better digital marketers

217

03: Why you need a computer sign-in sheet

218

02: The right questions can get you a job

219

01: Why you're better off being an individual contributor

220

Official Trailer - Welcome to The Humans of Martech