Revenue Ops Isn’t Tools: Joe Aurilia on Fixing Revenue Execution Problems (RevTech)

In this annual labor market discussion, guests Jamal Elmidge (Malcolm Clay Search) and Brian Lee (The Subgraph) describe how AI and efficiency pressures are changing hiring and job expectations across go-to-market and technical roles. They note SDRs and AEs are expected to be more technical, use AI-driven workflows, and deliver clearer revenue impact, while RevOps has shifted from spreadsheet expertise to orchestrating systems and AI-influenced outcomes. On the engineering side, tools like Claude, Cursor, and GitHub Copilot are accelerating output and driving demand for “product engineers” who can talk to customers and translate needs into products, thereby favoring well-rounded generalists with strong problem-solving and communication skills. They discuss shrinking teams, productivity challenges, emerging cross-functional roles such as forward-deployed engineering, increased use of fractional leadership, and job-search advice that emphasizes networking and standing out amid heavy applicant volume.

In this episode, Lizzie and Dimitris sit down with Ryan Vaillancourt to break down what’s actually driving performance in today’s sales world. With AI rapidly changing how teams work, many companies are chasing speed and productivity while missing what really matters. In this conversation, we cover: 👉 Why most sales coaching doesn’t lead to real improvement 👉 The biggest misconception about AI and productivity 👉 Why “working faster” isn’t the same as working smarter 👉 How top-performing teams focus on quality, not just volume 👉 The role of managers in driving real performance change The reality? Better results don’t come from doing more; they come from making better decisions in every interaction. Whether you’re a sales leader, rep, or just interested in how AI is shaping the future of work, this episode will change how you think about performance. Watch now and rethink what actually drives results.

In this episode, we sit down with Joe Aurilia (RevOps advisor + operator) to break down why “rev ops = tooling” is the wrong mental model. Joe shares how real revenue improvement starts with people, process, trust, and asking better questions—then using tools to scale what you’ve already agreed on. We talk “watermelon metrics,” false confidence from dashboards, why forecasting breaks in practice, and how to tell whether you have a tool gap or a process gap.

In this episode, we delve into the intricacies of a pioneering company named Antithesis, which has recently raised $105 million in a Series A funding round. Will it scale or fail? Lizzie and Dimitris share their takes!

This week, we’re highlighting Elvity! We had the pleasure of sitting down with Vikram Shrowty (CEO) and Safder Raza (Co-founder) to talk about a truth most GTM teams feel in their bones: GTM is a data problem… and too many teams are still stuck “battling spreadsheets” or letting things fall on the floor. A few moments we're still thinking about: • “A data team in a box” for GTM — automating analysis + workflows just by asking (they call it a GTM engineer… honestly “GTM super engineer” might be more accurate). • A real example: churn risk detection pulling from tools like Salesforce, Segment, Zendesk, Gong — then producing a clear report + suggested actions. • Operator included: Elvity doesn’t just answer questions — it builds the flow, tests it, and helps maintain it when data changes (because… data drift is undefeated). • Built for reality: 50+ connectors, push results back into the tools teams actually live in (hello Slack + CRMs), plus serious emphasis on validation + transparency so you’re not stuck with “ChatGPT told me so.” If your RevOps / CS / Sales teams are spending more time stitching data than making decisions, go give Elvity a listen. 👀

Mateusz Sadowski from Foxglove joins us to break down how robotics teams visualize, debug, and share multimodal robot data across cameras, lidar, and logs. We talk through why “record and replay” is foundational for robotics development, how timeline scrubbing speeds up diagnosis, and how teams collaborate by sharing the exact moment an issue happens. Mateusz also walks us through Foxglove’s approach to data playback (including events), how teams stream data from ROS/ROS 2, why MCAP matters for recording robotics data, and where the robotics ecosystem is heading next — from shared tooling and open standards to foundation models and safety constraints as robots move into more real-world environments.

Andrea Bumstead, Founder & CEO of CS Impact, joins us to break down what’s really happening in customer success today — from churn trends to why senior leadership roles have become nearly impossible to land. She shares how she accidentally built a fractional CS business, why companies are terrified of commitment, why CS leaders struggle to reach the C-suite, and how AI is reshaping support, success, and customer relationships. We also dig into the 15-minute QBR framework that went viral, the future of CS tooling, and the hard shift leaders need to make to speak the language of the CFO. Check out the episode for deep insights into churn, AI, leadership, valuation pressure, fractional strategy, and the evolving role of customer success.

In this episode, we sit down with Yoni, CEO and co-founder of Lusha, to break down how AI, signal-based selling, and modern RevOps are reshaping the entire go-to-market motion. We cover Lusha's early origins, why sales intelligence shifted from recruiters to sellers, and how RevOps is becoming the most critical persona inside high-growth GTM teams. Yoni walks us through how AI is eliminating manual prospecting, the role of machine learning in predicting buyer intent, how signals reduce wasted outreach, and what the future of sales workflows will look like. We also dig into data accuracy, integrations, the rise of AI-native tools, defensibility in the new SaaS landscape, and why the next era of software will be built around automation, agents, and on-demand UI. If you care about sales intelligence, AI-powered GTM, RevOps, or the evolving buyer journey, this conversation is packed with insight.

In this episode, Lizzie and Dimitris dive into the groundbreaking AI infrastructure provider, Tavily. Discover how Tavily is addressing crucial issues like hallucination in Large Language Models (LLMs) and enhancing compliance with zero data retention. The discussion covers the company's innovative approaches, key use cases across industries, competitive landscape, and their unique founding team. Will Tavily scale rapidly in the ever-expanding AI ecosystem, or will it face stiff competition from tech giants and specialized startups? Tune in to find out!

In this episode, we dive deep into enterprise AI solutions with Abid Mohammed, the co-founder of Cognida AI. Abid shares how Cognida specializes in providing practical AI solutions tailored to various industries like manufacturing, healthcare, and finance. We also discuss the company's unique approach to remote working and how they collaborate closely with their clients to deliver customized, integrated solutions. Abid provides insights into different use cases, including predictive modeling for customer churn and supply chain optimization, as well as the development of AI-driven assistants for process automation. He highlights the importance of selecting the right use cases and setting appropriate expectations for successful AI adoption. Tune in to learn more about how Cognida is helping enterprises leverage AI technologies effectively!