Head of Product

hermeneutic Investments

. Build the product discipline and operating model for the firm.

Posted 11/5/2026full-timeRemote • Taiwan, Singapore, Hong KongLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive product management expertise in complex, data-intensive environments, with a strong focus on internal platforms, trading systems, and data infrastructure. Capable of translating ambiguous user needs into clear product requirements while ensuring data quality and system reliability.

Highest-signal resume keywords

10+ Years Of Product Management ExperienceStrong Technical And Data FluencyExcellent Requirements-Writing AbilityExperience With Internal Platforms And Trading SystemsFamiliarity With Crypto Markets

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementRequirements WritingData Quality AssuranceSQLPythonData InspectionAnalytics ToolsTechnical Trade-Off EvaluationDecision Support ToolsUser Feedback Analysis

Soft Skills

Clear Written CommunicationIndependent JudgmentAbility To Work Under PressureConstructive DisagreementCollaboration With Specialized Users

Tools & Technologies

Data Investigation ToolsResearch ToolingMarket Data PlatformsTrading SystemsData Infrastructure

Industry Keywords

Financial TechnologyHedge FundProprietary Trading FirmQuant ManagerCrypto Trading FirmMarket MicrostructureOn-Chain DataAlternative DataRisk ManagementPortfolio Monitoring

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.