GM Head of Data

Talos provides institutional-grade technology and data for trading and managing digital assets across the full investment lifecycle.

New York, NY, United States
About Talos

Talos is an active institutional digital-asset trading and investment-management technology company. Its platform supports liquidity sourcing, price discovery, trading and execution, settlement, portfolio management, and post-trade analytics through a unified interface. Talos was founded in 2018, launched its live platform in August 2019, and acquired Coin Metrics in 2025.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the data business and own its P&L, product strategy, and client relationships. You will shape data products, commercial models, positioning, and go-to-market execution while leading research, product, and data science teams. You will partner with sales, marketing, engineering, and executive leadership to grow revenue, retention, and expansion.

Requirements

  • Proven experience leading a business unit or owning a P&L, ideally at a market data, index, or financial data provider.
  • Track record of turning around or growing a business with measurable results.
  • Data product expertise, including monetisation, packaging, pricing, and go-to-market for self-service and enterprise models.
  • Background in capital markets.
  • Strong understanding of and conviction about digital assets.
  • Ability to influence and deliver through cross-functional teams without direct authority.
  • Experience building and leading research, product, or data science teams.
  • Sound commercial judgement and accurate forecasting.
  • Executive presence and ability to engage and constructively challenge senior leadership.

Responsibilities

  • Own the P&L for the data business, including revenue, costs, forecasting, and performance reporting.
  • Set and execute product strategy based on product traction and market demand.
  • Build commercial models for self-service customers and enterprise clients, including packaging, pricing, and distribution.
  • Lead research, product, and data science teams.
  • Partner with sales, marketing, and engineering to align priorities and deliver revenue growth.
  • Own client outcomes and account health, resolving issues and driving retention and expansion.
  • Define positioning and brand strategy for the data business.
  • Build and lead a high-performing team.

Benefits

  • Retirement plan contributions
  • Unlimited vacation
  • PTO bonus of USD 2,000 for taking 15 vacation days, including 5 consecutive days
  • Bonus and stock ownership
  • Medical, dental, and vision insurance
  • 20 weeks of paid parental leave after one year of service
  • Global offsites and team outings
  • One-time home office setup stipend
  • Monthly USD 50 wellness credit
  • USD 25 lunch credit for in-office days
  • Annual donation matching up to USD 100
  • Catered Tuesday lunches, snacks, and drinks in office