Learn Powerful Negotiation Techniques & Hear Recent Real-life Experiences for Tech & Business Roles
About this Event
Please join Women in Big Data and TalentSeer on 7/23/20 9 - 10:30 am Taipei time for a live panel discussion on Negotiating Your Compensation Package. You’ll hear recent real-life experiences from people in technical and business roles, pragmatic techniques from career coaches, as well as useful insights from studies conducted in the tech industry.
Agenda
- Introductions
- Why Is It Important to Negotiate?
- How to Prepare for a Negotiation
- How and When to Ask for What You Want?
- How Do You Counter Accept or Decline an Offer?
- Resources & Tools
- Q&A
Speakers
Marie Goodell
Marketing Executive and Consultant
After 30-years in technology with leadership marketing roles at SAP, Oracle, Adobe, and IBM, Marie retired from full-time work. She now mentors technology companies (especially start-ups) through the Lazaridis Institute ScaleUp program and consults with other technology companies in the Bay Area. In a shift to health & wellness, Marie supports individual & group health and wellness as a certified yoga therapist & yoga instructor. Marie is also Secretary of the Board for the IYI San Francisco and Chair of the Board for the Accessible Yoga Organization.
Lorry Tang
Head of Talent Development @ TalentSeer
Lorry is currently leading TalentSeer, the fastest-growing AI Talent Search Firm in the bay area. With the experience of working with more than 100 top AI startups in autonomous driving, speech recognition, machine learning platform, and cloud, Lorry has expertise in startup talent strategy, talent market analysis, recruiting management, and offer negotiation. For the past three years, she helped more than 400 top Engineers/Product Managers/Business Development executives to join startups and Pre-IPO companies for Senior leadership/C-level roles.
Sunita Sharma
Founding Member of Women in Big Data, Mentor, Author
Big Data Specialist @ AWS
Sunita is a founding member of Women in Big Data. She has over 18 years of experience in the IT industry. She worked in various technologies with multiple roles in development, design and architecting solutions. Currently, She is a Big Data Specialist at Amazon Web Services. She is very passionate about learning new technology and applying that knowledge to help the community. She loves gardening and going for long walks with her dog.
Tina Tang
Co-founder & Chair of Women in Big Data
Head of Global Innovation Marketing Strategy and GTM @ EY
Named one of Datanami’s People to Watch in 2020, Tina is a co-founder of Women in Big Data. She has over 20 years of experience in the high technology industry and holds degrees from the University of Texas at Austin. Tina is head of Global Innovation marketing at EY, a board member at MinasList.org, and advises startups on marketing strategy. She and her husband have three grown sons. The couple lives in Palo Alto with a cat, 100,000 bees, a multi-generational jackrabbit family, and two donkeys.
Regina Karson
Board Member & Chapter Director of Women in Big Data
Technical Marketing
Regina has both a technical and business background educationally and professionally. She has held roles in technical marketing, business development, sales, and engineering. In addition to her WiBD duties, Regina is a SAP.iO mentor (SAP startup incubator) and works on go-to-market strategies and execution and business development for cutting edge technologies such as AI/ML for Fortune 500+ companies.
About Women In Big Data
Women in Big Data is a 16K+/6 continents global organization aimed at inspiring, connecting, and championing the success of women in big data.
About TalentSeer
TalentSeer is a fast-growing Tech talent partner in the U.S. providing integrated talent acquisition, market research, and employer branding services. With an engaged tech community, an innovative recruiting approach, and deep domain knowledge, TalentSeer has helped with 150 partners across autonomous driving, internet, finance, retail, and healthcare industries to build strong engineering & business teams.
