Product Manager

A Solo Quant bemutatása

Solo Quant builds predictive analytics for futures markets. The platform analyses how instruments reacted to past economic releases and, before the next release, reports directional bias, confidence, consistency and expected volatility for each instrument. Our proprietary trading and risk model is deterministic and works only from historical market data.

The first phase covers GC, NQ and ES around CPI, NFP and FOMC. Our clients are prop firms, hedge funds, institutional traders and research teams. The product and the team are at an early stage.

The team is small, and each hire owns part of the product. We look for self-motivated people who drive their own work without close supervision. We use Claude Code and other AI tools every day for coding, research and analysis, and we expect you to check AI output as critically as your own work.

We usually work between 8:00 and 20:00 CET (CEST in summer).

Feladatok

• Manage the roadmap and backlog and set priorities based on client value and effort.
• Run discovery interviews, demos and early access programmes with prop firms, hedge funds and trading desks, and test ideas with users before they are built.
• Write specs and user stories with acceptance criteria for engineers and quants.
• Decide how signals, confidence scores and event timelines appear in the web app, alerts and API.
• Work with compliance on disclaimers and on how signals are worded, so the product informs clients without advising them.
• Give management a regular overview of product metrics, including activation, retention, usage around events and report accuracy.
• Plan releases in short cycles and coordinate QA sign-off, release notes and client communication.
• Track competing market data and analytics products and contribute to positioning and pricing.

Elvárások

• Finance background: work experience at a bank, broker, fund, prop firm, trading platform or fintech, or a degree in finance or economics.
• Product management experience, including owning a product or a major feature area.
• Experience with B2B SaaS, data or analytics products.
• You write precise specs, tickets and status updates.
• You base decisions on data and can query it yourself with SQL or an analytics tool.
• Enough technical knowledge to discuss APIs, data models and trade-offs with engineers.
• You can make decisions with incomplete information.
• Good written and spoken English.

Előny

• Personal or professional trading experience.
• Experience shipping data products or developer APIs.
• Experience with Figma, product analytics (PostHog) and project trackers such as monday.com.
• Experience using Claude Code or other AI tools for prototyping and analysis.
• Experience with pricing, packaging or B2B sales.

Amit kínálunk

• Compensation based on experience.
• Access to Claude Code and other AI tools.
• Mentoring matched to your experience level.
• Responsibility for your own area of the product.
• Career progression based on performance.
• Training and networking opportunities.