Job description

About the Job This role builds a canonical entity and knowledge graph across Intelligence Core connectors to resolve identities (people, agents, systems, data entities). The entity layer supports data classification at the source to unify transaction reporting. Core Objective: Automate system-level identity, authority and permissions. Strategic Importance: Underpins security, core authority models, registers, and kill switches internally, while providing the foundation for agentic commerce credentials externally. Responsibilities • Lead the classify-at-source pilot with Finance and Compliance to establish unified tag models and metrics without re-derivation. • Establish shadow-AI and agent-identity registers to define ownership, access controls, and data permissions. • Build entity resolution pipelines across internal systems (Slack, Jira, Ironclad) using privacy-preserving linkage and canonical IDs. • Develop graph-based correlation skills (e.g., Jira gap-finder) and establish verifiable baseline metrics for operational throughput and SAR false positives. • Ground operational agents in the shared graph to deliver unified event tracking, reasoning, and real-time authorization. • Define graph architecture, governing schemas, temporal permissions, and provenance tracking to ensure full auditability and agent compatibility. • Maintain data accuracy using bitemporal modeling, automated drift detection, and historical replay capabilities for compliance. • Model delegation chains and agent credentials anchored to human principals for secure external interoperability. • Deploy ML and graph-native methods to analyze multi-agent behaviors, detect anomalies, and identify shared lineage or prompts. • Evaluate and integrate emerging graph and identity resolution research. • Enforce strict regulatory compliance, jurisdictional data partitioning, and privacy-by-design standards across the identity layer. Requirements • Direct experience with entity resolution, identity systems or knowledge-graph modelling. • Strong Python plus graph or relational data engineering in production. • Applied ML for resolution at scale, potentially including embedding- and LLM-based matching, self-supervised and active-learning loops, with the discipline to benchmark before trusting, on synthetic or de-identified sets, since raw PII never enters an evaluation. • Schema and API design for heterogeneous consumers, human and machine. • Comfort working directly with Finance and Compliance colleagues on a live data pilot from the first weeks. • Security and privacy by design as a working habit: an identity layer in an MSB/VASP environment is regulated surface, and you design accordingly. • Comfort building a foundational layer whose consumers don't exist yet. Benefits • Healthcare Insurance: zerohash covers roughly 100% of employee premiums as well as a portion of spouse/children (U.S. only) • Vision & Dental Insurance (U.S. only) • Chance to earn equity • Maternity & Paternity leave (after 6 months) • WeWork All Access Membership • WFH Yearly Stipend • L&D Yearly Stipend (after 6 months) About zerohash zerohash is the leading crypto and stablecoin infrastructure platform and the operating system for digital money, powering the next generation of financial services. Founded in 2017, zerohash enables banks, brokerages, fintechs, and payment companies to offer crypto trading, stablecoin payments, and tokenized assets without having to build or manage complex blockchain infrastructure on their own. The zerohash platform supports three core pillars: Trade, Transact, and Tokenize. Through a single integration, customers can launch regulated crypto buy, sell, and custody services; enable 24/7 stablecoin-based funding, payouts, and settlement; and issue and manage tokenized assets with built-in compliance, risk controls, and reporting. By abstracting away technical, regulatory, and operational complexity, zerohash allows partners to treat digital assets as just another financial primitive: fast, programmable, and global. zerohash is trusted by some of the world’s most recognized financial and consumer brands, including Interactive Brokers, Morgan Stanley, Stripe, Franklin Templeton, BlackRock, DraftKings, Gusto, Worldpay, Kalshi, One Pay, among others. Today, zerohash infrastructure supports millions of end users across brokerage, wealth, payments, and marketplace platforms globally. The company is deeply regulated and compliance-first, operating across the U.S. and internationally with licenses and approvals that allow partners to enter crypto and stablecoins with confidence. zerohash has become a trusted partner for enterprises seeking to modernize financial products while meeting the highest standards for security, risk management, and regulatory oversight. To date, zerohash has raised over $280 million in funding from a mix of leading venture firms and strategic investors, including Morgan Stanley, Interactive Brokers, SoFi, Point72 Ventures, Bain Capital Crypto, Lightspeed Venture Partners, and more. zerohash has been featured in top-tier media outlets such as Bloomberg, CNBC, The Wall Street Journal, Financial Times, Reuters, Forbes, and CoinDesk, and its leadership team regularly contributes to global conversations on the future of payments, investing, and financial infrastructure. At zerohash, we're building the infrastructure that makes digital money work securely, compliantly, and at global scale. The zerohash Culture All zerohash employees are guided by the following characteristics and core principles: • Independence/Ownership - An ability to work autonomously. Join zerohash, pitch ideas, and shape the work you do. • Passion - We are innovating quickly and challenging the status quo. We want you to think big, be creative and make a difference every day. • Collaborative - A good attitude and respect for others. We’re teammates, not co-workers. Everything we do is a shared success and equally a shared failure - we talk in terms of “we” not “me”. • Initiative - An ability and passion for learning and asking questions. We will champion you, challenge you and push you to achieve your best - and we expect you to do the same. • Empathy - An ability to listen, respect, and understand your co-workers, customers, and everyone you interact with no matter how different they are to you. • Adaptability - An ability to respond quickly. We are in a fast-paced industry and so we expect you to be creative when solving a new problem and comfortable under pressure. • Transparency - We believe that transparency is critical to empowering everyone to make the best decisions, both the company to its people and vice versa. • Integrity - Integrity creates trust. As both an organization collectively and as individuals, it is our most valuable asset. Follow us Twitter LinkedIn Youtube Blog For candidates based in Colorado, please contact colorado-wages @zerohash.com to request compensation and benefits information regarding a particular role(s). Please include with your email the city you reside (or intend to reside in Colorado) and the title/link to the roles you're interested in. **We’ve recently seen an increase in individuals impersonating zerohash recruiters to target job seekers. Please stay vigilant and keep the following in mind to ensure you are communicating with the real zerohash team: • Verified Emails Only: Official outreach will only come from a @zerohash.com email address. • No Messaging Apps: We will never contact you via unsolicited text messages, WhatsApp, or Telegram. • Official Applications: Only apply directly through our careers webpage (zerohash.com/careers) or zero-hash.breezy.hr. See something suspicious? If you want to verify an interview request or report a fake job posting or suspicious communication, please contact us immediately at talent @zerohash.com. This email is for fraud reports only. Candidate application inquiries will not be responded to.

Requirements

Must-haves

Core Objective: Automate system-level identity, authority and permissions.
Strategic Importance: Underpins security, core authority models, registers, and kill switches internally, while providing the foundation for agentic commerce credentials externally.
Lead the classify-at-source pilot with Finance and Compliance to establish unified tag models and metrics without re-derivation.
Establish shadow-AI and agent-identity registers to define ownership, access controls, and data permissions.
Build entity resolution pipelines across internal systems (Slack, Jira, Ironclad) using privacy-preserving linkage and canonical IDs.
Develop graph-based correlation skills (e.g., Jira gap-finder) and establish verifiable baseline metrics for operational throughput and SAR false positives.
Ground operational agents in the shared graph to deliver unified event tracking, reasoning, and real-time authorization.
Define graph architecture, governing schemas, temporal permissions, and provenance tracking to ensure full auditability and agent compatibility.
Maintain data accuracy using bitemporal modeling, automated drift detection, and historical replay capabilities for compliance.
Model delegation chains and agent credentials anchored to human principals for secure external interoperability.
Deploy ML and graph-native methods to analyze multi-agent behaviors, detect anomalies, and identify shared lineage or prompts.
Evaluate and integrate emerging graph and identity resolution research.
Enforce strict regulatory compliance, jurisdictional data partitioning, and privacy-by-design standards across the identity layer.
Direct experience with entity resolution, identity systems or knowledge-graph modelling.
Strong Python plus graph or relational data engineering in production.
Schema and API design for heterogeneous consumers, human and machine.
Comfort working directly with Finance and Compliance colleagues on a live data pilot from the first weeks.
Security and privacy by design as a working habit: an identity layer in an MSB/VASP environment is regulated surface, and you design accordingly.
Comfort building a foundational layer whose consumers don't exist yet.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijiramlpythonllmapi

Platform: breezy
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Pto