The Product League Presents: Product Management Best Practices

Past Locations for this Event

The Product League Presents: Product Management Best Practices | Austin

Past Locations for this Event

About this event

Join us for a lively panel discussion on Product Management best practices. All the experts on our panel have extensive PM experience in a variety of companies and industries. They have brought many products to market and look forward to sharing their knowledge on what leads to product success and what can lead to failure.


Teri Harwood - Teri crafts of innovative solutions through leading teams to solve complicated business problems with elegant, simple user experience design. Since moving to Austin over 6 years ago, Teri has worked as the VP for Innovation and Product at Mozido and EVP for Product at TabbedOut. She began her PM career at Nike where she was a Senior Manager for UX and Product.

Tracy Hennessy - Tracy is the Product Management Director at Handsome. Handsome focuses on creating successful digital products for our clients. You can find her at the rock climbing gym, taking her puppy to the park, or cruising on her bike through the Hyde Park neighborhood.

Ray Hernandez - Ray currently serves as the Senior Director of Product Management at the Advisory Board. Previously, he has led teams in product management, marketing, and worked in strategy roles for such companies as Bank of America and Austin-based financial startup NewComLink.

Sara Sullivan - After a jumpstart in nonprofit with the Peace Corps, marketing at Dell, and business school at Berkeley, Sara found her passion in Product Management. Since, she has contributed to broad-spectrum of startups, spanning Consumer, B2B2C and Enterprise where she was most recently the VP of Product at Bypass Mobile.

Liz Winkler - Liz has worked in Product Management for companies such as Mass Relevance, Spredfast, and Atlassian. She is currently the Director of Product Management for Liz has devoted her career to identifying trends, and extracting meaning out of massive amounts of social data.

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