Strategic Engagement Manager at Rogo

London, England, United Kingdom

Rogo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Artificial IntelligenceIndustries

Requirements

Candidates must have 4+ years of experience in finance, consulting, product management, partner management, and/or business development. Outstanding project management and communication skills are essential, along with an organized, detail-oriented, and action-oriented mindset that balances creative problem-solving with the ability to deliver results. Bonus qualifications include being an early employee at a hyper-growth startup, experience at world-class product organizations, and knowledge of LLMs, including the ability to explain how a transformer works, or a technical background.

Responsibilities

The Strategic Engagement Manager will manage major partnerships and help financial firms create and implement AI strategies, reporting directly to the founders. Responsibilities include building and executing strategies for enterprise partners, managing the entire partnership lifecycle, acting as the voice of the customer to understand business needs, and developing joint solutions with customers. The role involves collaborating with Rogo's engineering, product, and GTM teams, defining and tracking key performance indicators, building strong relationships with key stakeholders at partner organizations, landing multi-million dollar contracts, steering Generative AI strategy, ensuring amazing user experiences, and tackling unsolved product and engineering problems related to LLMs in production.

Skills

Strategic Engagement
Partnership Management
Financial Services
Relationship Building
Business Strategy
Project Management
Communication
Problem-Solving

Rogo

Generative AI platform for financial institutions

About Rogo

Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.

New York City, New YorkHeadquarters
2021Year Founded
$29.2MTotal Funding
SERIES_ACompany Stage
Fintech, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established fintech companies like Palantir and Bloomberg.
Potential over-reliance on third-party data providers like Quartr.
Regulatory scrutiny on AI-driven financial platforms is intensifying.

Differentiation

Rogo offers a bespoke AI solution tailored to each financial institution's needs.
The platform integrates and analyzes data from both internal and external sources.
Rogo's AI can search, analyze, and cite millions of documents efficiently.

Upsides

Rogo raised $18.5M in Series A funding led by Khosla Ventures.
Partnership with Quartr enhances Rogo's analysis tools for investment bankers.
Rogo's AI automates workflows, saving time and improving decision-making.

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