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Rogo

Director, Content and Data Partnerships

Rogo is hiring a Director, Content and Data Partnerships in New York, United States. Level rates it ; you can apply on Rogo.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions partnerships, negotiation and content licensing among its tools and skills.
  • Level classes it as an executive role.
  • Rogo has 101 other open roles on Level.

AI in this role

Lead global content and data partnerships to define AI-native content licensing and commercial frameworks for an AI finance platform.

partnershipsnegotiationcontent-licensingcommercial-strategy

Why Rogo

Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.

This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.

Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.

Role

This role exists to accelerate Rogo’s content and data business globally. It reports directly to the President and owns the relationships, commercial structures, and strategic initiatives to scale Rogo’s content ecosystem.

This role will also help define the commercial and licensing models for financial content in an AI-native world. Many of these arrangements will have no established market precedent. Success requires strong commercial judgment, fluency in the financial data ecosystem, comfort with complex rights and economics, and the ability to turn signed agreements into differentiated products that customers use and value.

Specifically, the role involves:

  • Developing Rogo’s global content and data partnership strategy, including market mapping, partner prioritization, and a multi-year content roadmap

  • Owning stakeholder relationships with commercial decision-makers at financial data, research, and info-services platforms globally

  • Leading negotiation of partnership contracts with content providers — many of which are novel agreements without standard market precedent

  • Establish frameworks for AI-native content use, including model usage rights, derived outputs, attribution, entitlements, auditability, and redistribution

  • Designing and implementing novel commercialization models that align Rogo’s platform with the evolving economics of content consumption

  • Feeding directly into product and commercial strategy, in partnership with Sales, Post-Sales, and Marketing — how Rogo bundles, prices, and brings content to market will be shaped significantly by this role

  • Partnering with Sales, Post-Sales, and Marketing to shape how Rogo packages, prices, positions, and brings content-enabled products to market

  • Collaborating with Legal and Finance on intellectual-property rights, compliance requirements, contractual risk, and complex deal economics

  • Working cross-functionally with Product and Engineering to translate partnership requirements into platform capabilities

  • Helping define Rogo’s external point of view on AI-era content economics and represent the company with senior industry stakeholders

Profile:

The ideal person has spent their career inside the financial data and information-services ecosystem and has personally carried deals from start to finish.

They likely come from a partnerships, BD, or commercial role at a major data or research provider — e.g., Bloomberg, LSEG, S&P, etc. — or a firm adjacent to or serving these players where they owned provider or distribution relationships and negotiated the terms.

In addition to the above, key qualifications include:

  • Deep familiarity with and relationships within the financial data ecosystem including Bloomberg, FactSet, S&P / Visible Alpha, Morningstar, and others

  • Proven negotiation experience — not just coordination

  • Strong commercial instincts; treats partnerships like a sales pipeline

  • Ability to independently evaluate dataset quality and strategic value, as an input into both commercial and Product decision-making

  • Experience in data partnerships/BD and/or commercial roles within financial data and info-services

  • Fluency in content economics and licensing structures, including enterprise licenses and redistribution rights

  • Structured, detail-oriented, and disciplined in tracking relationships and deal cycles

  • Excellent communicator we trust in front of major partners

  • Record of operating autonomously on high-stakes decisions with incomplete information, and being trusted in front of a provider's most senior people

  • Familiarity with the intellectual-property and data-rights questions created by generative AI and AI-enabled research workflows

  • Experience in a high-growth team environment is a plus

Who You Are

  • You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.

  • You are ambitious. You have fun solving problems that others think are impossible.

  • You are curious. You find joy in learning about AI, technology, and finance.

  • You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.

  • You are collaborative, organized, thoughtful, and kind.

Why Join Rogo?

  • Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.

  • Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.

  • A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.

  • Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.

  • Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.

How we rate this

Director, Content and Data Partnerships at Rogo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PartnershipsNegotiationContent LicensingCommercial Strategy

Questions you could be asked

  1. Tell me about a project where partnerships was part of your work. What did you do?
  2. Tell me about a project where negotiation was part of your work. What did you do?
  3. Tell me about a project where content licensing was part of your work. What did you do?
  4. Tell me about a project where commercial strategy was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Partnerships, Negotiation, Content Licensing, and Commercial Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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