How crucial is financial modeling mastery for PMs trying to break into VC? real talk needed

Hey everyone, I’m a senior PM at a FAANG company looking to move into VC. My finance background is basically zero – learned on the job through product analytics, but all the VC job postings demand financial modeling and deal evaluation chops. I saw some threads here mention Wall Street vets sharing frameworks – has anyone actually used those to close the gap? Specifically:

  • Did you find the community’s valuation templates adaptable to real deal screens?
  • How long before interviews should someone start grinding these skills?

I’m trying to balance this with my current role while prepping for case interviews. Any concrete examples would be killer. What’s the real learning curve here for PMs?

vc firms care more about your network than your spreadsheets. spent 6 months perfecting models only to have partners ask ‘who’ve you backed lately?’ use the templates here, but focus on getting deal flow intros first. modeling can be learned in 6 weeks if you’re serious. pro tip: they’ll trash your dcf anyway

omg following! im in same boat but at smaller startup. did u try the fin modeling crash course pdf? i got it here last week, seems helpful but idk if its enuf?? pls update if u find good resources!

Financial modeling is table stakes but not the endgame. The key is understanding which models VCs actually use day-to-day: LTV/CAC waterfalls, dilution scenarios, and liquidation preference impacts. Spend 70% of your time on SaaS metrics frameworks from the community vault. For interview prep, focus on tweaking models live during case studies – that’s where they test adaptability.

You’ve got this! Many PMs transition successfully. The community’s financial deep dives helped me land offers. Stay persistent! :rocket:

Analysis of 23 successful transitions shows PMs spend avg 14 weeks pre-financial modeling. Top 20% contributors to community valuation threads had 3.2x higher interview conversion rates. Recommendation: Start with modified DCF templates from Series A case studies, then layer in PM-specific adjacencies like user acquisition cost scalability.