Product Manager (AI Investing Agent)

About Alva

Alva is your AI investing agent. Research a thesis. Monitor a narrative. Backtest an idea. Automate a strategy. Alva turns any of it into a live Playbook — with a team of agents watching the market 24/7 and alerting you the moment it matters. Powered by institutional-grade data from 100+ sources and a growing library of community skills and playbooks you can follow, remix, and learn from, Alva is your personal edge in all markets.

Alva was founded by a team of proven serial entrepreneurs. The founding team includes co-founders from Galxe, a major Web3 growth platform with over 30 million active users, as well as a co-founder from MiniMax, a leading frontier AI lab.

About the role

Make Alva the best AI product in the finance vertical. You'll end-to-end own key product modules — including the AI harness & agent orchestration layer, trading execution, the Playbook / Remix ecosystem, and content distribution — and ship them with engineering and design.

What you'll do

• Own the roadmap and make prioritization calls across every surface — power vs. simplicity, flexibility vs. reliability, depth vs. breadth
• Shape how natural language becomes a reliable financial agent harness — from agent orchestration to data retrieval, visualization, backtesting, and execution
• Design the Playbook system as a composable content and distribution engine
• Find and fix friction through deep personal usage, user research, and data

What we're looking for

• Product management experience; background in AI agent products, fintech, trading systems, or UGC platforms preferred
• Strong product intuition and systems thinking — see the whole product, spot what matters most
• Hands-on: you prototype, write specs, test, and ship — not just coordinate
• Power user of AI-native tools (Claude Code, Cursor, etc.) — you use AI to build, not just talk about it
• Real technical understanding of agents: the LLM + tool-calling + memory + planning loop, the tradeoffs between RAG and fine-tuning, context-window cost and latency, MCP, and how to design evals
• Exceptionally self-driven with strong learning ability and problem-solving instincts
• Clear communication in both English and Chinese; genuine curiosity about financial markets
• Bonus: quant finance or macro background; startup, OPC, or indie developer experience

Compensation

~$100K + equity. Full-time. Location: Shanghai · Onsite.

How to apply

Email [email protected] with something you've built and a few lines on why this role.

Full details: https://alva-careers.netlify.app/playbook