Product Manager at Rogo

New York, New York, United States

Rogo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, FinTech, AIIndustries

Requirements

  • 2+ years of experience in finance (e.g. banking, investing, hedge funds)
  • Technical degree (CS, Math, Engineering) or equivalent experience (can code and think algorithmically)
  • Compulsive user of LLM tools and deep intuition for prompting and model behavior
  • Exceptionally detail-oriented and organized
  • Thoughtful and opinionated, but deeply collaborative and open to others’ input
  • Strong visual and product taste that resonates with the team’s values and instincts
  • Thrive in fast-paced environments; high-intensity and care a lot about what you do
  • Ambitious, with fun solving impossible problems
  • Curious, finding joy in learning about AI, technology, and finance
  • Autonomous, self-directed, and comfortable working with ambiguity
  • Collaborative, organized, and thoughtful
  • Previous product or startup experience (major plus)

Responsibilities

  • Own feature development end-to-end—from scoping and spec to QA and go-to-market
  • Work with engineers and designers to clearly define what needs to be built and unblock them constantly
  • Design, evaluate, and iterate on prompts and system-level behavior for our LLMs
  • Build finance workflows from scratch (think: investor memos, models, decks, comp tables, queries, dashboards)
  • Continuously prioritize product improvements based on user demand
  • Join sales and post-sales calls to help sell, demo, and explain product capabilities

Skills

Product Management
LLMs
Prompt Engineering
Finance Workflows
QA
Feature Scoping
Go-to-Market
Engineering Collaboration
Design Collaboration

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.

Land your dream remote job 3x faster with AI