Kasada
Senior Sales Engineer
San Francisco / Bay Area · Senior
Sponsorship not specified$160k-$200kDetected 141 days ago
CybersecuritySOC OperationsSalesExcelCustomer SuccessLoad BalancingResearch
About the role
- About Kasada Join us in stopping bad bots, for good!
- Kasada protects millions of online users everyday.
- They take over accounts, steal content, overload systems and infrastructure and cause billions of dollars in damages every year.
Responsibilities
- Deliver compelling, story-driven demos that bring the technology to life.
- Own proof-of-concept (PoC) engagements from scoping and setup through to successful validation.
- We have designed our hiring process to be streamlined and thorough so everyone can make the right call on whether it is the right move for you.
- Create a schedule that suits you
- Support for growing families
- Resources for well-being to support your growth including our EAP - confidential counselling for you and your loved ones
Nice to have
- Experience working with either fraud or security teams is a plus.
Compensation
- $160k-$200k
Benefits
- A stake in Kasada's global success with equity/stock options
- Flexible working hours and arrangements
- Generous parental leave allowances and resources to help in the lead up, during and after parental leave.
- Birthday leave
- Wellness leave
- The Benefits of being a Kasadian We want to ensure Kasada remains a great place to work and a place to do great work.
Company info
- Connect the dots for customers and prospect to see how automation and fraudulent accounts are used to drive negative business outcomes.
- Empower customers and internal teams through technical training and enablement.
- You excel at connecting with customers, delivering exceptional experiences, and helping them succeed.
- We are an inclusive team and this extends to all candidates that interview with us.
- Founded to stop automated bot attacks, we believe the internet should be a safe place for everyone.
This listing is sourced directly from Kasada's careers page and normalized into a canonical job model.