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Raylu AI

AI origination engine for private markets

Growth Lead

Growth MarketingConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in growth, demand generation, or performance marketing at a fast-growing B2B company, ideally early stage.
  • A track record of owning outcomes such as pipeline, meetings, and revenue, rather than only activity or channel-level reporting.
  • Hands-on experience with search engine optimization and paid social, and a working understanding of how AI answer engines are changing search.
  • Ability to rank and reallocate spend across channels by return on investment, and to scale or stop channels based on evidence.
  • Ability to identify, test, and establish entirely new channels, not only run established ones.
  • Strong understanding of funnel metrics and attribution, with practical judgment about what the data can and cannot show.
  • Ability to work cross-functionally with product on signals, sales on lead quality and handoff, and founders on strategy.
  • Efficiency-focused approach to evaluating how each dollar and hour is spent.
  • Clear, sharp writing and ability to turn a complex product into a message investors care about.
  • Hands-on experience with AI tools and no-code workflows, and enthusiasm for expanding their use.
  • Genuine interest in private markets, AI, and how capital is allocated.
  • High agency: ability to identify problems, propose fixes, and deliver without waiting to be told.
  • Marketing strategy experience is a major plus, including ownership of positioning, messaging, segmentation, or a go-to-market plan.

Responsibilities

  • Own the full funnel by connecting spend to meetings, pipeline, and revenue, and work with sales to improve lead quality and conversion.
  • Grow search engine optimization and answer engine optimization so Raylu is prominent when investors search or ask AI assistants about deal sourcing and origination.
  • Run paid social campaigns to reach partners and deal teams at private equity, growth, and venture capital funds, measuring cost per qualified meeting.
  • Identify untested channels, including product-led signals, and run experiments to scale or stop them quickly.
  • Set channel strategy by ranking channels by return on investment each half, reallocating budget to effective channels, cutting ineffective channels, and supporting decisions with data.
  • Build referral and community loops that generate warm, high-intent introductions from customers, investors, and others connected to Raylu.
  • Shape the company narrative by shipping launch campaigns, case studies, and thought leadership.
  • Build AI workflows for research, personalization, and operations.
  • During days 1–30, audit channels, tools, and data sources; map the funnel from first touch to closed deal and identify blind spots.
  • During days 31–60, present a ranked channel plan with budget, targets, and stop criteria; launch initial search engine optimization/answer engine optimization and paid social tests, plus at least one new-channel experiment.
  • During days 61–90, report results to leadership, reallocate toward effective activities, and propose the first hire or agency needed by the plan.

About the Company

Raylu AI

AI origination engine for private markets

Raylu AI is an AI origination engine for private markets that helps private equity, venture capital, growth firms, and related teams turn an investment thesis into actionable deal-flow such as market maps, target lists, live signals, and founder outreach. It works by letting users describe a thesis (or start from an M&A map or conference list); Raylu reads information from 300,000+ sources to build a market map around that thesis, continuously scores each company, tracks signals like funding rounds and leadership changes, and writes personalized founder outreach in the firm’s voice. It differentiates itself by building maps from scratch around a thesis rather than relying on database tags, providing continuous scoring and live signals, deep CRM integrations, and firm-branded outreach with privacy-conscious, single-tenant deployments. Its goal is to accelerate and scale the origination process for private market investments while keeping data secure and under the firm’s control.

Company size
11-50
Company stage
Series A
Total funding
$12M
Headquarters
New York City, New York
Founded
2022

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