Many roles inside of startups and tech companies are clear: marketers market, salespeople sell, engineers engineer. Then there are the roles like “product manager” that seem obvious on the surface (product managers “product,” right?) but in reality are very fuzzy roles that can be highly variable across different companies.
A few weeks ago, TechCrunch editor Jordan Crook interviewed J Crowley, who is head of product for Airbnb Lux and was formerly at Foursquare. Crowley came up in the consumer product world without a technical background, and he spoke to overcoming some of his own insecurities to become a leading product thinker in the Valley.
This week, I wanted to offer another perspective on product from Anjul Bhambhri, who is Vice President, Platform Engineering at Adobe, where she and her team conceived Adobe’s new Experience Platform for real-time customer experience management.
Across Bhambhri’s more than two decade career straddling the line between software engineering and product, she has worked on deeply technical, enterprise projects at Sybase and Informix as startups, big data infrastructure at IBM, and now at Adobe.
We discuss the challenges and opportunities of moving from an engineering career into product (and management more generally) as well as the ways she thinks about building compelling products that are sold B2B.
This conversation has been condensed and edited for clarity
Scaling out product after product
Danny Crichton: Anjul, thanks for joining us. One of the major initiatives that we’ve been doing as part of Extra Crunch is to interview experts in their fields, talking about how they go about doing their job, and how you think about the decisions that come up on a day-to-day basis in the work that you do. So to start, I would love to talk a little about your background.
Anjul Bhambhri: Very nice to meet you, and happy to share my journey, Danny. I have been in the software industry now for really almost 30 years. I’m an electrical engineer, and basically, my entire career has been in data, databases, and big data analytics.