logo
episode-header-image
Mar 2025
1h 9m

Elena Verna - Solopreneurship, Memes & G...

One Knight in Product
About this episode
About the Episode

Elena Verna is a renowned growth consultant who has worked at and with a glittering array of well-known tech companies. She's a strong advocate of career optionality and solopreneurship, as well as the author of a popular growth newsletter, Reforge instructor and popular LinkedIn content creator with her insightful posts and searing memes. Just don't call her an influencer.

Episode highlights:

 

1. Solopreneurship is about having optionality; it doesn't mean you never take a full-time job again.

You can build a portfolio career with a variety of different offerings, and get involved in the types of problems that excite you. This feels risky, but people get laid off from "real" jobs all the time. The most important thing is to optimise for what you're passionate about, and it may well be that you move between full-time employment and advisory or fractional roles. It's not a one-way street, and you're in control.

2. Humour disarms people, so memes are a great way to talk about difficult topics and build empathy

Content creators should not be scared of poking fun at meaningful topics. Using humour is a great way to help build connections with people around potentially sensitive areas. That doesn't mean you should make everything a joke, but you can certainly mix it up. You might think it's risky for a solopreneur, needing to build credibility, to be seen as an unserious clown. But, do you really want to work with people who can't take a joke?

3. Product-Led Sales is all about using self-service as a lever to fill up your sales pipeline with healthy, qualified leads

Speaking of knowledge (nice segue!), Elena has written a lot about Product-Led Growth (PLG) and Product-Led Sales (PLS). PLG is the strategy of using your product as its own acquisition channel through enabling a great self-service experience, quick time-to-value and all the other things that B2C apps have had to worry about for years. PLS, on the other hand, is about filling your sales team's pipeline with high-quality leads that have already experienced your product through PLG, and demonstrated enough usage to make it worth having a data-backed conversation with the buyers at that organisation.

4. There are signals that it's time to try out Product-Led Sales

Don't adopt PLS for the sake of it; instead, look for signals that it's appropriate for you. Traditional sales-led motions focus on the buyer but, if you solve a problem that matters more to end users than buyers, you should consider Product-Led Sales as a method for building internal champions and advocacy for your product. You should also be conscious of competitive threats; your traditional, top-down buyer-led sales motion may work today, but keep your eyes open for new PLG players attacking your underbelly.

5. You probably need new capabilities (and talent) within your organisation if you want to get started with Product-Led Sales.

Let's face it, most sales-led organisations are terrified of giving sales prospects access to their product without supervision. The user experience is almost certainly terrible and there's no "Aha!" moment to speak of, just a pile of features that got added to satisfy procurement teams. You need to get a good product manager in to overhaul the experience, good product marketers to work on optimising acquisition, and great data analytics so you can make sure you aren't just sending garbage to the sales team. If you don't send them high-quality leads, they'll stop trying to sell to them.

6. Product-Led Sales is not an on/off switch but a dial.

Traditional sales-led organisations that are crushing their quotas don't need to go down the product-led growth or product-led sales route if it doesn't work for them. Similarly, product-led companies shouldn't have to go upmarket to succeed. The most important thing to consider is how to build on your existing strengths and complement them, and getting the mix right. You can run both at the same time, and this is better than throwing all-in on a go-to-market motion where you have no credibility, experience or right to win.

Contact Elena
Up next
Aug 17
CPO Stories: Jamie Mercer - TrustedHousesitters
In this episode, I speak with Jamie Mercer, Chief Product Officer at Trusted Housesitters, the global pet care and travel marketplace disrupting two industries at once. Jamie has previously held senior product roles at VoucherCodes, Skyscanner, Student Beans and IVC Evidensia, an ... Show More
48m 12s
Aug 11
CPO Stories: Shiri Mosenzon Erez - commercetools
In this episode, I speak with Shiri Mosenzon Erez, Chief Product Officer at commercetools, a global leader in enterprise composable commerce that supports thousands of retailers in hundreds of countries, enabling tens of billions of dollars in revenue annually. Shiri's career jou ... Show More
46m 47s
Aug 4
CPO Stories: Hannah Kershaw - Domestic and General
In this episode, I speak with Hannah Kershaw, Chief Product Officer at Domestic and General, a company that you might not have heard of but absolutely need in your corner the next time your dishwasher breaks. Hannah's journey took her from marketing to e-commerce, into product le ... Show More
44m 13s
Recommended Episodes
Aug 2024
ChatGPT has a language problem — but science can fix it
AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that fo ... Show More
36m 50s
Jul 22
Are World Models the Key to AGI?
A groundbreaking Harvard study trained AI on 10 million solar systems and found it perfectly predicted orbits but completely failed to understand gravity, raising questions about whether LLMs can develop true world models. While companies pour billions into scaling, Meta's Yann L ... Show More
21m 28s
May 2023
TinyML: Bringing machine learning to the edge
When we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really s ... Show More
45m 45s
Aug 2023
Cuttlefish Model Tuning
Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on today’ ... Show More
27m 8s
Feb 2017
MLG 002 What is AI, ML, DS
Links: Notes and resources at ocdevel.com/mlg/2 Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools What is artificial intelligence, machine learning, and data science? What are their differences? AI history. Hierarc ... Show More
1h 5m
May 8
MLG 035 Large Language Models 2
At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup ... Show More
45m 25s
Sep 2024
Large Language Model (LLM) Risks and Mitigation Strategies
As machine learning algorithms continue to evolve, Large Language Models (LLMs) like GPT-4 are gaining popularity. While these models hold great promise in revolutionizing various functions and industries—ranging from content generation and customer service to research and develo ... Show More
28m 58s
Feb 2017
MLG 001 Introduction
Show notes: ocdevel.com/mlg/1. MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with high ... Show More
8m 11s
Mar 2024
Figure 01 humanoid robot
Genuine-friend.com. The super capabilities of Figure 01, the humanoid robot developed by the startup Figure, are attributed to its integration with OpenAI's advanced AI technologies. Here's how OpenAI contributes to Figure 01's exceptional capabilities based on the provided searc ... Show More
16m 38s