hermeneutic research
Head of Product
RemoteTaiwan only
- Role
- Product
- Experience
- C-Level
- Employment
- Full-time
- Company size
- Mid-size
Salary not disclosed
Check eligibility
Open to TW only. Set where you work from to check your eligibility.
No BS summary
Founding Head of Product for a discretionary crypto trading firm. You will build the product function from scratch, focusing on internal proprietary systems for traders and researchers. Requires 10+ years of product management experience, including scaling product functions and working with expert users in technical, data-intensive environments. Must have strong technical and data fluency, excellent requirements writing, and product judgment.
Required skills
SQLPython
Optional skills
SQLPythonnotebooksanalytics tools
What you'll do
- Build the product discipline for the firm. Define how we discover problems, capture requirements, write specifications, review trade-offs, measure adoption, and close the feedback loop with users.
- Own the roadmap for internal trading and research systems in partnership with the CIO, engineering, trading, and research leadership. Balance immediate practitioner pain points with longer-term platform foundations, including data quality, provenance, tooling reliability, and system scalability.
- Work directly with traders and researchers to understand real workflows: how they investigate opportunities, evaluate data, form hypotheses, monitor positions, assess risk, and make decisions. Your job is to understand the underlying decision process and identify what system capability would create the most leverage.
- Translate ambiguous practitioner needs into clear, evidence-backed requirements that engineering can build from. Requirements should capture the business context, user workflow, data assumptions, expected behavior, edge cases, success measures, and relevant trade-offs. The goal is not simply to reduce questions from engineering. The goal is to reduce avoidable ambiguity, surface trade-offs early, and ensure the team is building the right thing for the right reason.
- Ensure our internal systems are built for trust. Traders and researchers should be able to understand where a number came from, what assumptions sit behind a calculation, why a signal changed, and when human judgment is required. Data lineage, source transparency, explainable calculations, and human-in-the-loop decision-making should be default product principles.
- Act as the connective tissue between trading, research, engineering, and management. You will surface trade-offs clearly, challenge assumptions constructively, and help the firm make better prioritization decisions.
- Start as the sole product leader, then build the team as the work scales. Hire and develop product managers, set the bar for discovery and specification quality, and create a product culture suited to a high-performance trading environment.
- Spend significant time with traders and researchers to understand real decisions, workflows, investigations, datasets, and pain points.
- Distinguish stated feature requests from underlying practitioner needs.
- Translate trading and research workflows into product opportunities, clear requirements, and buildable product decisions.
- Write clear product requirements for internal systems, workflows, data products, analytics, and decision-support tools.
- Partner closely with engineering to shape feasible, scalable solutions and surface technical trade-offs early.
- Prioritize product work based on expected trading, research, operational, or risk impact.
- Define success measures for product work, including faster research cycles, better data quality, reduced manual work, improved decision confidence, risk reduction, stronger adoption, or, where measurable, PnL contribution.
- Defend foundational work — such as data quality, lineage, reliability, and platform architecture — when it is more important than a visible front-end feature.
- Evaluate external data providers and tooling vendors where relevant, including 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.
- Hire and lead a small product team once the scope requires it.
What they require
- 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.
- The ability to work with highly specialized users, understand their workflows deeply, and translate ambiguous needs into clear product decisions.
- Strong technical and data fluency. You should be comfortable querying data, inspecting unfamiliar datasets, sanity-checking quality, and working closely with engineers on architecture and trade-offs.
- Excellent requirements-writing ability. You can produce specifications that are faithful to the user problem, clear enough for engineering, and tied to a business or workflow outcome.
- Strong product judgment. You know when to challenge a request, when to gather more evidence, when to escalate a trade-off, and when to commit once a decision is made.
- Clear written communication. We operate with a strong writing culture; important decisions, requirements, and trade-offs should be documented.
- The ability to move quickly without becoming sloppy. You can keep pace with trading and research cycles while maintaining rigor in a real-money environment.
- Independent judgment and the ability to disagree well. You can make a constructive argument with evidence, remain calm under pressure, and align behind a decision once it is made.
- Experience at a hedge fund, proprietary trading firm, quant manager, market maker, crypto trading firm, or financial data/platform company.
- Familiarity with crypto markets, including spot, perpetuals, funding rates, liquidity, on-chain data, unlock schedules, block explorers, and market microstructure.
- Experience evaluating market data, on-chain data, alternative data, or other third-party data providers.
- Experience working with globally distributed teams.
- Familiarity with research, analytics, execution, portfolio, or monitoring workflows.
- Hands-on experience with SQL, Python, notebooks, analytics tools, or similar ways of investigating data directly.
hermeneutic research is a best-in-class proprietary trading firm and hedge fund. It deploys research-driven discretionary and systematic strategies as well as makes strategic long-term investments.
FinanceMid-size
Salary not disclosed