Product Marketing Manager at Farsight AI | New York, USA | $130K/yr – $175K/yr

Product Marketing Manager

New York, USA (Hybrid)

$130K/yr – $175K/yrMid Level3+ years expFull time

Posted 6 months ago

Drive PMM for an enterprise SaaS aimed at financial services, owning messaging, pricing, GTM launches, and sales materials.

Own platform positioning and messaging across all four verticals (IB, PE, wealth management, hedge funds) — articulating why Farsight's end-to-end workflow automation is categorically different from chatbots and generic AI tools.
Build and maintain a messaging framework that creates consistency from the website to sales conversations to conference presentations.
Own pricing and packaging strategy in partnership with Sales and Product.
Own the weekly product email — strategy through execution — and develop a scalable approach to prospect and customer communications across the funnel alongside Helen.
Write and maintain product collateral and customer-facing sales materials: one-pagers, feature explainers, and capability overviews.
Produce product feature content for LinkedIn that builds Farsight's presence with financial services decision-makers.
Lead GTM planning for product launches and integrations, from pre-announcement through adoption.
Monitor the competitive landscape and translate intelligence into battlecards, differentiation talking points, and win/loss insights.
Partner on analyst relations, speaking opportunities, and media placements targeting Partners, MDs, and CIOs at financial institutions.
Stay close to the Sales team day-to-day — understand what's working in the field and keep materials continuously improving.

3+ years of product marketing at a B2B SaaS company, with a track record of executing across the full PMM toolkit — strategy, writing, collateral, email, and launches.
Exceptional writer across formats: customer emails, LinkedIn posts, sales decks, one-pagers, and long-form content.
Experience owning a customer or prospect email program end-to-end.
Strong collaborator with Sales — you stay close to the field and build trust with AEs.
Data-driven and comfortable using pipeline metrics, win/loss data, and campaign analytics to make decisions.
High bias toward shipping; you build structure without waiting for a perfect playbook.

Direct experience in financial services (IB, PE, asset management, fintech) or building products for these buyers.
Familiarity with AI-for-finance tools and data platforms (PitchBook, Capital IQ, Refinitiv).
Experience with pricing and packaging at a SaaS company.
Prior Series A–C startup experience building from scratch.