Go from Overlooked to Unforgettable: A fireside chat with author Lorraine K. Lee
with Lorraine K. Lee
How to Build a Successful Career in Software and Data
Tiffany Hu
In the ever-changing industries of software and data, building a career can be confusing and difficult.
The key to climbing the ladder in these fast-paced environments is less about building your career, and more about adapting to the industry.
We understand that things have...
In the ever-changing industries of software and data, building a career can be confusing and difficult.
The key to climbing the ladder in these fast-paced environments is less about building your career, and more about adapting to the industry.
We understand that things have been changing so rapidly in the last 5 to 10 years, and it can be difficult to know where to begin, especially if you want to move forward in your career or pivot to a new role.
How do you stay on top of the changes?
How can you be sure you’re gaining the skills that you need to move forward in such an evolving atmosphere?
What tools are important to climbing the ladder in these industries?
Tiffany Hu, Senior Software Engineer at SeatGeek, will be joining us to answer these questions and more as she talks about how connections and networking, being able to work cross-functionally, and being able to prioritize and communicate well, are important foundations to building a successful career in software and data. She will also share some tips on starting a 2-year career plan and how to best evaluate professional opportunities to help you better reach your goals.
Key takeaways from this discussion will be:
- Tips on staying on top of changes in software and data
- Some key soft skills that will help you climb the ladder
- How to best evaluate your professional opportunities
Meet The Speaker
Tiffany Hu
Senior Software Engineer, SeatGeek
Tiffany is a senior software engineer at SeatGeek, currently focusing on building platforms to drive better insights and actions for event promoters.
She has always had a passion for data, which led her to first join and help build out SeatGeek's data platform team eight years ago, take on data engineering and tech lead roles in other companies, and come back to SeatGeek to apply her experience to a familiar yet new role and space.
