We are bringing an exciting innovative take to help PMs gain more confidence around technical product management via an interactive workshop where the audience can see a live interaction between PMs and engineers. Learn how to improve your technical skills with our esteemed panelists from Sift Science, Rubrik, and Google.
Neetika Bansal // Engineering Manager, Stripe
Neetika Bansal is an Engineering Manager at Stripe, focusing on Payments. A former Google and Microsoft engineer, she brings over 6 years of technical expertise and management to the table. She received her degree in Computer Science at Nanyang Technological Institute.
Megan Mann // Product Manager, Sift Science
Megan is currently a Product Manager at Sift Science, where she manages the analyst console. Prior to Sift Science, she was a PM at Bridgewater Associates, the largest hedge fund in the world. At Bridgewater she was building a platform for visualizing and coding the algorithms that they traded on. Megan started in technical support at Bridgewater, and prior to that she interned at local VC funds while she studied Finance, Economics, and Computer Science as an undergrad.
Pranava Adduri // Founding Engineer, Rubrik
Pranava Adduri is an experienced engineer and engineering manager, who has had 10+ years experience leading teams in the infrastructure platform and database spaces. He is currently a founding engineer and engineering manager at Rubrik, where he's successfully launched full-stack products and is now leading the SaaS platform delivery team. Previously, he also led the database team at Box, which was instrumental in moving Box from its previous database schema. Pranava attended UC-Berkeley and holds 4 degrees, including 3 undergraduate degrees in Business, Computer Science, and Industrial Engineering as well as a Masters in Industrial Engineering.
Akshay Kannan // Product Manager, Google
Akshay Kannan has been a Product Manager at Google for 7 years. He is currently working on the Gboard (mobile keyboard) team. Prior to this, he has worked on Android, Google Cloud Platform, and Chrome. He comes from an engineering background and is passionate about using machine learning and contextual signals to make it easier for users to get things done on mobile devices. He holds a degree in Electrical Engineering and Computer Science from UC Berkeley.
6:00 pm: Registration
6:30 pm: Panel Discussion / Audience Q&A
7:00 pm: Spec Workshop
7:45 pm: Networking
8:30 pm: Close
Special thanks to our partner: Sift Science
Sift Science is a machine learning company focused on establishing trust between businesses and consumers by optimizing user experience and preventing fraud. The Sift Science Trust Platform hosts a full suite of products attacking every vector of online fraud and abuse: account takeover, payment fraud, content and promo abuse, and fake accounts.
Sift Science is hiring for PM and Engineering positions. Please come and meet recruiters on-site.