u/Ok_Egg_9142

Hi everyone, happy Friday and could use some advice

If possible:

I currently have a backup full-time offer that starts in early May.

At the same time, my previous internship probably give me a return offer, but the HR process could take a few weeks and the timeline is uncertain.

Let’s say I receive and confirmed the return offer before my backup job starts, and the return offer would begin mid-May or early June

Any thoughts about the 2 options (or a 3rd one?)

1.Start the backup job first, then resign if/when the return offer comes through?

2.Or wait and not accept the backup offer?

Would really appreciate any advice or similar experiences. Thanks! 🙏

Hey everyone, hope you’re all having a great day.

I’m currently a master’s student in Canada and working in a security-related role. I’m at a point where I need to choose between two internal paths, and I’m honestly quite torn. Would really appreciate some perspectives from people in the industry.

Background:

Master’s in information systems (Canada), bachelor in information systems too

~near 4 years prior experience in tech / consulting (some security, like security assessment and shadowing pentesting exposure, but would like to pursuit blue team roles for job)

Goal: stay long-term in North America and eventually move into a solid tech company (ideally something like big tech or strong mid-size tech)

Interested in cybersecurity, preferably more on the technical side (not purely GRC)

Option 1: Data Security (current team, been here ~3 months)

Tools: Splunk (SIEM), CrowdStrike, Microsoft Purview DLP

Work: dashboard, monitoring, data protection, dlpolicy configuration

Pros:

Already ramped up and built trust with the team

Clear technical path

Cons:

Feels a bit “traditional” / not very cutting-edge

Option 2: AI Governance / AI Security (new team)

Work:

Reviewing internal AI use cases from a security/risk perspective

AI governance / risk assessments

Some involvement in client-facing AI products (AI agents, explainability, etc.)

Pros:

Feels more “future-facing” (AI, obviously)

Team is growing and seems to have more visibility

Cons:

Seems more policy/review heavy

Not sure how deep the technical side goes

More like a consulting-style environment

My main consideration:

I’m worried that if I stay in Data Security, I might miss out on the AI wave.

But at the same time, I’m also concerned that going too early into AI governance might leave me without strong technical foundations.

Questions:

For early career, is it better to double down on technical security first?

How “transferable” is AI governance experience if I later want to move into more technical security roles?

Thanks all!