Product Manager at Rogo

New York, New York, United States

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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

Key technologies and capabilities for this role

Product ManagementLLMsPrompt EngineeringFinance WorkflowsQAFeature ScopingGo-to-MarketEngineering CollaborationDesign Collaboration

Questions & Answers

Common questions about this position

What is the salary for this Product Manager role?

This information is not specified in the job description.

Is this position remote or onsite?

The position is onsite, with Rogo headquartered in NYC requiring in-person work.

What skills and experience are required for this role?

Candidates need 2+ years of experience in finance (e.g., banking, investing, hedge funds), a technical degree (CS, Math, Engineering) or equivalent with coding and algorithmic thinking ability, and compulsive use of LLM tools with deep intuition for prompting and model behavior.

What is the company culture like at Rogo?

Rogo has a lean, smart, enormously ambitious and driven team that values high talent density, fast velocity, constant new challenges, and working with incredibly smart, driven people on frontier AI technology.

What makes a strong candidate for this Product Manager position?

Strong candidates have deep finance knowledge, technical instincts including coding ability, strong intuition around LLMs, exceptional detail-orientation, thoughtful collaboration, strong visual and product taste, plus previous product or startup experience.

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