Sid Kumar, Head of Global GTM Strategy & Planning at Databricks, joins host Mudassar Malik on Behind the Growth to unpack what it really takes to design and run a connected go-to-market engine—one that aligns across marketing, sales, customer success, and operations, from first touch to renewal.

Sid shares hard-earned lessons from leading GTM functions at CA Technologies, Amazon, HubSpot, and now Databricks. He walks through what it means to think of go-to-market as a closed-loop system instead of a linear process, and why shared language, unified metrics, and functional accountability across the full customer lifecycle are non-negotiables at scale. Along the way, he explains how concepts like HubSpot’s “flywheel” and Amazon’s input-output discipline shaped how he approaches alignment, planning, and operating rhythm.

The conversation also tackles the balance between centralization and regional autonomy—particularly in planning and compensation design—and how Sid works to ensure standardization never disconnects from field realities. He talks about the role of regional GTM COOs and the importance of feedback loops from country-level teams back into global processes.

Finally, Sid dives deep into how AI is reshaping GTM workflows—from prospecting and rep productivity to strategic operations and RevOps. He shares clear use cases, practical advice, and a firm reminder to start with the workflows, not the tech. For enterprise leaders looking to modernize how their organizations go to market, this is a conversation worth pausing for.

Sid dives into topics like:
- AI’s role in RevOps strategy
- Connecting funnel stages into one system
- Centralizing planning without losing nuance
- Time-and-motion studies for workflow clarity
- How shared language drives accountability

Visit mobilelive.ca/podcast to learn more about each guest and read key insights for every episode.

Hamza Qamar, Senior Director of Product, Innovation & Design at mobileLIVE, joins Mudassar Malik on Behind the Growth to break down what it really takes to lead product innovation inside enterprise environments—and why technical talent alone doesn’t cut it.

Starting with a story from his early days as a software engineer, Hamza explains how a single round of informal user conversations reshaped not only a feature, but his entire approach to product leadership.

Throughout the conversation, Hamza lays out a practical framework for managing uncertainty across the product lifecycle—balancing experimentation, iteration, and scale by asking two deceptively simple questions: How certain are we that this adds value for users? And how urgently does the business need results? He explains how this model has helped him make sharper decisions while still giving room for exploration.

The conversation moves into how AI is influencing the product function, with Hamza highlighting the shift from spreadsheet-heavy reporting to conversational analytics that accelerate understanding and action. He shares how he’s using these tools with teams today—not just to extract insights, but to turn data into collaborative decision-making moments.

Finally, Hamza reflects on the leadership behaviours that drive consistent performance in product teams. From shared ownership to inclusive problem-solving, he emphasizes the need for environments where creativity and accountability can coexist. For product and technology leaders navigating scale, pace, and complexity, this episode offers a grounded, execution-first lens on innovation that delivers.

Hamza shares his perspective on:
- Scaling without sacrificing user insight
- Being cautious of misleading data
- Testing trends instead of chasing them
- Measuring true product innovation impact
- Lessons from telecom product misfires

Visit mobilelive.ca/podcast to learn more about each guest and read key insights for every episode.

Justin Bundick, Managing Director of AI and Data Transformation at Southwest Airlines, joins host Imran Mian to explore the real-world complexities of scaling AI in one of the world’s most operationally intense industries. With a focus on turning experimentation into enterprise impact, Justin outlines what most organizations overlook when moving beyond pilots—highlighting the critical role of infrastructure, data readiness, governance, and change management.

He shares the story behind the Leading Indicators Alert Tool (LIAT), a predictive system that uses hundreds of real-time and historical data points to forecast operational disruptions 24 hours in advance. Built on Southwest’s integrated data foundation and cloud-native platforms, Liat exemplifies how AI can shift from insights to action—if embedded correctly into workflows and decision-making.

Throughout the episode, Justin stresses the importance of human-centred design and empathy-driven AI development. He explains how his team begins by deeply immersing themselves in business processes to ensure AI solutions are not only technically sound but also usable and trusted by the people they serve. The conversation also explores Southwest’s partnerships with AWS and Anthropic, and how these collaborations enable rapid development and responsible scaling of both traditional and generative AI.

For technology and business leaders aiming to move AI out of the lab and into production—without losing momentum or mission—this episode offers a tactical, no-fluff perspective from the frontlines of enterprise transformation.

Justin shares his perspective on:

- Operationalising AI in complex environments
- Forecasting disruption through predictive modelling
- Embedding AI into business workflows
- Breaking down barriers to AI scale
- Driving AI outcomes with cloud strategy

Visit mobilelive.ca/podcast to learn more about each guest and read key insights for every episode.