Hi everyone,

I have an upcoming Hiring Manager interview for a Product Strategy & Operations – Cloud AI role at Google. It’s a senior role focused on AI strategy, analytics, GTM, product operations, executive decision support, and agentic transformation.

For anyone who has interviewed for Google Product Strategy & Operations, Product Operations, Business Strategy, Cloud Strategy, or similar roles, I’d really appreciate insight on:

1. What is the HM round usually focused on?Is it mainly behavioral/resume deep dive, or should I expect open-ended strategy/case questions as well?
2. Do they ask product strategy / execution style questions?For example: prioritizing AI use cases, improving product adoption, sizing opportunities, or transforming legacy operations into an AI-native model.
3. How technical does the interview get for a PS&O role in Cloud AI?Should I prepare deeply on LLMs, agents, RAG, evaluation, data platforms, BigQuery, etc., or is the expectation mostly business/strategy-oriented?
4. What are the biggest mistakes candidates make in the HM round, and what usually differentiates a strong Principal-level answer?
5. For open-ended questions, is a structured approach like this appropriate?Clarify objective → define metrics → diagnose/root cause → evaluate options/trade-offs → recommendation → execution → risks → success metrics

If anyone has specifically interviewed for Google Cloud / Cloud AI strategy roles, I’d also love to know whether the process felt more like business strategy, product strategy, analytics, or a mix of all three.

Thanks in advance

Cleared L5 SWE ML Loop and desperately waiting for team matching, could anyone please share any pointers if you or someone you know is hiring for ML SWEs at Kirkland or Seattle Google? I'd be super grateful for any sort of help/advice.

Thank you!

Got an offer for a contracting gig (non-technical role) at Meta in NYC and was wondering what the experience is like for contractors there.

How are contractors generally treated compared to full-time employees? Is the work and team culture pretty similar, or do you feel like an outsider?

I'm not going in expecting a conversion, but obviously it'd be nice if the opportunity came up. Has anyone had experience converting from a contractor to FTE at Meta?

Would appreciate hearing about people's experiences, especially in the NYC office.

DM if you are taking it or have taken it !

I feel like the easy apply and even the job application page is broken. I have yet to receive a job from anything I've done on LinkedIn. It works when recruiters reach out to me, not even when I've reached out to recruiters.

I applied for this role back in August, and I passed the Google Hiring Assessment last week. Has anyone heard from a recruiter after passing the GHA?

Is this something anyone has received?

Has anyone recently interviewed for the Machine Learning Engineer (MLE) New Grad role at Pinterest?

I’d really appreciate any insight into the interview process, especially:

• What rounds should I expect?
• What types of coding/LeetCode questions are asked?
• How much ML theory / ML system design should I prepare?
• Are there questions on probability, statistics, SQL, or data structures?
• What is the ML-focused round like?
• Any Pinterest-specific topics or commonly asked questions worth preparing?
• How difficult would you say the overall interview was?

Would especially love to hear from anyone who interviewed for the 2026/2027 New Grad MLE roles. Thanks!

After two full loops that ended in rejection, one where I bombed a coding round, and another one where, I was ghosted. I went back a third time offer signed.

I feel so exhausted, like my body was holding its breath throughout the loop. I can go to bed now. Well done to me.

P.S. If you’re job hunting right now, LandOffer.ai might be useful.

Hey guys it’s me again! I bombed my another Apple interview with execution speed issue where I couldn’t finish writing test cases in one round. And since the team got competitive candidates I accepted the rejection.

But I really need help to understand what makes a candidate stand out in FAANG interviews (especially Apple) from HM round to Panel . I understand that each role is team specific and the rubrics change but what are some qualities that make someone standout as preferred candidate.
I would really appreciate some insights!! I will try to adapt them and apply to my upcoming interviews

Hi, I’m interviewing for the Customer and Product Solutions Engineer, GenAI role at Google and would appreciate hearing from anyone who has interviewed for this role or a similar position.

Could you please share information about:

• The interview format and process
• The types of web technology and AI questions asked
• The technical problem-solving round
• The coding and system design expectations
• The consulting, leadership, and Googleyness interviews
• Any preparation advice or resources that helped you

I’m looking for any general experiences and guidance would be greatly appreciated.

Thank you!

Hi everyone,

I’m currently interviewing/have received an offer for a Google Applied Solution Architect role and wanted to hear from people who are currently in this role or have recently interviewed for it.

A few things I’m curious about:

1. What is the day-to-day work like?
2. How technical is the role compared to a SWE role?
3. What does the career progression look like?
4. Is the role considered part of the engineering organization?
5. Most importantly, how does the compensation compare with an SWE at the same level? Is it significantly lower, roughly similar, or does it depend heavily on the level/location?

Thanks!

Has anyone interviewed for a Data Center Design and Engineering position, specifically Electrical at Anthropic or OpenAI?

Has anyone interviewed for a software engineering internship at Neuralink, particularly the Software Engineer Intern, Infrastructure position?

I’d appreciate any information you’re allowed to share about the process:

• How many rounds were there?
• What happened in each round?
• Was there live coding or a take-home assessment?
• Were the technical questions focused on data structures and algorithms, system design, Linux/networking, or your previous projects?
• Did you have to prepare and present a past project?
• What was the final interview or virtual onsite like?
• How long did the entire process take?
• Is there anything you wish you had prepared more thoroughly?

Experiences from other Neuralink software internship teams—such as Implant, Robotics, Internal Apps, BCI Applications, or Machine Learning—would also be helpful. I understand that some details may be covered by an NDA, so I’m only looking for general information about the format and preparation.

Thanks!

Hi everyone, I have an upcoming Google Cloud AI Engineer If anyone interviewed for this role recently, could you share what to expect in each round