Altis

Altis

Contract Associate, Venture Intelligence

New York City · Contract

Sponsorship not specifiedDetected 46 days ago
ResearchCommunication

About the role

  • Associates who demonstrate strong judgment and research instincts move into full-time roles with equity.
  • 1-7 years of professional experience in consulting, banking, expert networks, equity research, or a related analytical field
  • A strong quantitative and analytical foundation.

Responsibilities

  • conducting expert interviews, building company analyses, synthesizing primary research findings, and helping produce the reports that drive investment committee decisions on Series A+ companies.
  • This is a contract role designed as a pipeline to permanent positions.
  • We're building the team fast, and this structure lets both sides evaluate fit before making long-term commitments.
  • You'll work alongside Sector Leads and report to our Founding CRO (ex-McKinsey, ex-Growth Investor).
  • The CEO is a former BCG Managing Director & Partner.

Requirements

  • Experience with primary research - you've talked to customers, competitors, or experts to build a view, not just pulled data from a terminal

Skills

  • Clear communication skills. You can synthesize complexity into something a decision-maker can act on

Compensation

  • $10,000 - $24,000 monthly compensation (based on experience)

Company info

  • Founding-stage team - your work shapes the product, the methodology, and the company
  • Altis is a venture intelligence platform that helps investors make faster, better decisions on Series A/B/C companies.
  • We conduct deep primary research (expert interviews with customers, competitors, and industry specialists) to build the analysis that drives investment committee decisions.
  • We're backed by Primary Venture Partners, co-founded by a Midas-list investor, and building a structured analyst program modeled on the intellectual range and apprenticeship found at top management consulting firms.

This listing is sourced directly from Altis's careers page and normalized into a canonical job model.