Product Lead (Trading)
New
T
TradeFillTrading software
Locations: Kraków, Szlak 50, Kraków, Country code: PLFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Excellent written and spoken English
- Experience
- 5+ years in Product Management
- Required Skills
- SQLData AnalysisProduct ManagementProduct AnalyticsSaaS
Requirements
- Have 5+ years of Product Management experience.
- Have hands-on experience shipping SaaS products for B2C end users and B2B sales workflows.
- Have active trading experience in futures, stocks, crypto, forex, or a similar market.
- Have experience with day trading, scalping, and/or swing trading.
- Demonstrate the ability to own and communicate an end-to-end product vision.
- Have experience with PDM frameworks, product analytics, and product design tools.
- Have experience independently conducting customer development and market research.
- Have experience delivering software products in US and/or EU markets.
- Understand high-level software architecture and be able to work directly with engineers.
- Use AI across research, prototyping, analysis, and decision-making.
- Analyze data independently using SQL or equivalent ability.
- Be proficient with design and prototyping tools.
- Have excellent written and spoken English.
Responsibilities
- Own the end-to-end product vision and communicate it to stakeholders and cross-functional teams.
- Translate product strategy into a prioritized roadmap and prepare a billing model aligned with revenue and profitability goals.
- Lead product ideation, prototyping, discovery sessions, customer development, and market research.
- Conduct direct calls with traders and potential users, and perform competitive analysis.
- Define and scope features and lead development using Agile methodology.
- Manage product risks proactively and troubleshoot issues.
- Create AI-driven prototypes, mockups, and wireframes, and collaborate with a product designer on UI/UX.
- Improve product UX to support conversion and retention.
- Monitor product success metrics, including MRR, CAC, LTV, churn, and NPS.
- Analyze web and product metrics using product database data and make data-driven decisions with the analytics team.
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