dropping a recent data point since I don't see much on AIG in here.
Role: Senior Data Engineer (L4 equivalent) Location: NYC (hybrid, 3 days) YOE: 7
Offer: Base: $148k Bonus: 15% target (actual payout last year was ~12%, confirmed by two people I talked to inside) Equity: none, they don't do equity in most non-exec roles 401k match: 6% with immediate vesting, which is actually quite good
All-in at target bonus that's roughly $165k. No equity is a real gap vs fintech or tech-adjacent companies. For AIG specifically the value prop is stability, real benefits (their health plan is solid), and actual reasonable work-life balance by all accounts.
negotiated base up from $139k initial. there's room, just have to ask. they said the role had a band of $130-160k so I got near the top.
5 replies
contractor_kai
the 6% match with immediate vesting is legitimately good. a lot of people don't model that correctly against equity comp. if you're coming from a place with 4-year cliff vesting on equity you haven't actually collected, the AIG total comp math is closer than it looks.
numbers_only
exactly this. I ran the numbers against a fintech offer I had with $30k in RSUs vesting over 4 years at a shaky valuation. the AIG package was easier to underwrite.
ds_dmitri
how was the technical interview for data eng? curious if they go deep on distributed systems stuff or more SQL/pipeline design.
numbers_only
mostly pipeline design and data modeling, some SQL. nothing that would stump a senior person. the harder part was explaining architecture decisions in business terms. they wanted to know I could talk to non-technical stakeholders, not just that I know Spark.
market_realist
$148k base in NYC for senior level is below market-median for fintech/tech but above market for traditional insurance. context matters. if stability and benefits are priorities AIG is a real option. if you're optimizing for TC ceiling, it's not the right stop.