Hey {{first_name}} ,
We have a lot of exciting open roles, upcoming events, career tracks and so much more!
Now, let’s dive in 👇
📅 ALL UPCOMING EVENTS
Pro Member Exclusive: Weekly Career Office Hours & Virtual Co-Working!
Wednesday, Sep 9: People Leaders Round Table
Thursday, Sep 10: Tech Ladies - The Loop: Virtual Community Meet Up - Sept
💼 OPEN ROLES
We're excited to share the new jobs - both technical and non-technical - that were posted on Tech Ladies this week! Check out all the roles on our job board.
Staff Engineer at Inductive Automation - Remote/Hybrid/On-site
Senior Platform Security Engineer at Spade - United States, Hybrid
Malware Analyst at Nozomi Networks - Milan, Italy
Go-To-Market Systems Administrator at Nozomi Networks - United States, Remote
Web Specialist and WordPress Manager at Slippery Rock University - Slippery Rock, PA
Full Stack Engineer at Boldin - Remote
Senior Product Manager at Boldin - Remote
Designated Engineer at Nozomi Networks - Qatar
Account Manager at Nozomi Networks - United States, Remote
Associate Sales Engineer, EMEA at Nozomi Networks - Italy
Regional Program and Engagement Manager, MEA at Nozomi Networks - Saudi Arabia
IT Help Desk Technician II at Jazz at Lincoln Center - New York, NY
Senior Engineer at Hillspire - New York
✨ COMPANY OF THE WEEK ✨
Spade takes messy transaction data and turn it into structured, verified records — with a platform, models, and tooling that help our customers use it everywhere it matters.
Access to transaction data has never been better — but the quality of that data has never been worse. Transactions arrive as cryptic strings of letters and numbers (think: SBX*1234) that tell you almost nothing about where money was spent, who the merchant is, or why the charge happened.
Companies waste enormous time and resources trying to decode these strings through guesswork and Googling — or paying a third party to do the same — and often shelve product ideas because the underlying data is too messy to work with.
Spade solves that at the source. We don't clean up bad data — we give customers better data to work with in the first place.
If interested, please make sure to apply to their open roles - the team would love to hear from you!