Head of Product

🔥 0 minutes ago

🌐 Taiwan, Singapore, +1 more countries – Remote

🇹🇼 Taiwan – Remote 🇸🇬 Singapore – Remote 🇭🇰 Hong Kong – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 12%

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hermeneutic Investments

WebsiteLinkedInAll Job Openings

11 - 50 employees

💸 Finance

Finance

hermeneutic Investments is a proprietary trading firm and hedge fund that deploys research-driven discretionary and systematic trading strategies while also making strategic long-term investments. The firm emphasizes alpha generation, open debate, relentless iteration, teamwork, and a strong, hard-wired approach to risk management and opportunistic market participation. Partners bring a decade-long track record in trading and business building, and the firm positions itself for continued expansion in challenging market environments.

📋 Description

• Build the product discipline and operating model for the firm. • Define processes for problem discovery, requirements capture, specification, trade-off review, adoption measurement, and user feedback. • Own the roadmap for internal trading and research systems in partnership with the CIO, engineering, trading, and research leadership. • Balance immediate practitioner needs with platform foundations such as data quality, provenance, tooling reliability, and scalability. • Work directly with traders and researchers to understand workflows, investigations, datasets, decisions, and pain points. • Translate ambiguous practitioner needs and workflows into product opportunities, clear requirements, and buildable decisions. • Write product requirements for internal systems, workflows, data products, analytics, and decision-support tools. • Ensure systems provide trust, explainability, data lineage, source transparency, explainable calculations, and human-in-the-loop decision-making. • Partner with engineering on feasible, scalable solutions and surface technical trade-offs early. • Prioritize work based on trading, research, operational, or risk impact. • Define success measures such as faster research cycles, better data quality, reduced manual work, improved decision confidence, risk reduction, adoption, or measurable PnL contribution. • Defend foundational data quality, lineage, reliability, and platform architecture work when appropriate. • Evaluate external data providers and tooling vendors based on API quality, coverage, latency, reliability, cost, and integration complexity. • Establish product rituals, documentation standards, and feedback loops. • Advise the CIO on product priorities, practitioner needs, product-engineering trade-offs, and sequencing. • Start as the sole product leader and hire and lead a small product team as the scope grows.

🎯 Requirements

• 10+ years of product management experience, including senior product leadership in complex, technical, data-intensive environments. • Experience building or scaling a product function, including hiring product managers, setting standards, and managing product work across multiple stakeholders. • Strong experience with internal platforms, expert-user workflows, trading systems, research tooling, market data, financial technology, data infrastructure, or similarly complex product environments. • Ability to work with highly specialized users, understand their workflows deeply, and translate ambiguous needs into clear product decisions. • Strong technical and data fluency, including querying data, inspecting unfamiliar datasets, sanity-checking quality, and working closely with engineers on architecture and trade-offs. • Excellent requirements-writing ability and ability to produce clear, outcome-focused specifications. • Strong product judgment and ability to challenge requests, gather evidence, escalate trade-offs, and commit to decisions. • Clear written communication and ability to document decisions, requirements, and trade-offs. • Ability to move quickly while maintaining rigor in a real-money environment. • Independent judgment and ability to disagree constructively, remain calm under pressure, and align behind decisions. • Experience at a hedge fund, proprietary trading firm, quant manager, market maker, crypto trading firm, or financial data/platform company is highly valuable. • Familiarity with crypto markets, including spot, perpetuals, funding rates, liquidity, on-chain data, unlock schedules, block explorers, and market microstructure is highly valuable. • Experience evaluating market data, on-chain data, alternative data, or third-party data providers is highly valuable. • Experience working with globally distributed teams is highly valuable. • Familiarity with research, analytics, risk, execution, portfolio, or monitoring workflows is highly valuable. • Hands-on experience with SQL, Python, notebooks, analytics tools, or similar data investigation tools is highly valuable.

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