Chainalysis Inc.

Data Scientist

• Own the execution of one or more production data science projects, translating broad problem statements into well-scoped tasks and credible analytical results that meet stakeholder expectations.
• Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on-chain activity and uncover new insights.
• Apply advanced techniques including graph computation, statistical modeling, and machine learning to large-scale on-chain datasets.
• Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack.
• Clearly articulate and defend methodology and results to both technical and non-technical stakeholders, maintaining alignment through consistent communication.
• Mentor junior team members, contribute to technical hiring, and share knowledge.
• Collaborate closely with peers to bring research from prototype to production.

Senior Data Scientist

People Operations

• Own end-to-end delivery of enhancements across Workday and the broader People Tech stack, ensuring scalable and high-quality solutions
• Configure and maintain Workday HCM (business processes, security, notifications, and reporting) across key employee lifecycle processes
• Partner with stakeholders across People, Talent Acquisition, Finance, and BizTech to translate business needs into effective system solutions
• Identify and implement opportunities to improve automation – including AI-assisted workflows – to enhance data integrity, reduce manual effort, and elevate the user experience across People systems
• Ensure seamless interoperability across People systems (e.g., Workday, Adaptive, Ashby, payroll providers), optimizing end-to-end workflows
• Design, build, and maintain integrations between Workday and external systems, exploring AI and automation tools (e.g., Workato, AI-powered bots) to streamline data flows
• Monitor integration health, troubleshoot issues, and perform root cause analysis to ensure reliability
• Support workforce planning and headcount data flows, particularly between Workday and Adaptive
• Support testing efforts for new functionality and product releases, ensuring smooth and controlled deployments
• Maintain clear documentation and establish best practices for system governance, change management, and ongoing support
• Stay current on AI and automation trends in the HR Technology space, proactively recommending tools and approaches that can improve team efficiency and employee experience

Senior People Systems, Integrations Analyst

• Own and drive core operational and employee lifecycle programs from onboarding to off-boarding
• Lead end-to-end program and project management across multiple concurrent initiatives, stakeholders, and timelines, ensuring high quality delivery and execution
• Redesign and scale manual processes (e.g., probation period management) using automation, AI, and agentic workflows
• Identify and implement opportunities to drive operational excellence and consistency across People programs and processes
• Build and maintain the People team's internal knowledge base as a reliable, self-service resource
• Support compliance and audit readiness, including SOC 2, regulatory requirements, and the employee handbook
• Partner cross-functionally to drive key People initiatives (e.g., performance enablement) from concept through execution
• Develop and maintain standard operating procedures (SOPs), playbooks, and process documentation for all core People workflows
• Track and report on key People metrics (e.g., eNPS, time-to-productivity) to drive data-informed improvements

People Programs Lead

Infrastructure Engineer

• Lead the design and evolution of RKE2 Kubernetes clusters across development, acceptance, and production environments — driving upgrades, capacity planning, networking strategy, and operational resilience
• Architect and maintain infrastructure as code (Terraform) to provision and manage AWS-based environments, establishing patterns and modules that the team can scale with confidence
• Own the CI/CD platform (GitHub Actions) end-to-end — designing pipeline architecture, improving build performance, and ensuring releases flow reliably through staged environments
• Drive GitOps-based delivery strategy using Flux CD, defining standards for Helm charts and Kustomize overlays and ensuring consistent reconciliation across clusters
• Define container image lifecycle policies — building, signing, storing, and distributing images across OCI registries for multiple deployment targets
• Identify and eliminate operational toil through automation, improving environment provisioning, configuration management, and deployment processes at a systemic level
• Establish and maintain monitoring, alerting, and incident response practices — owning dashboards, runbooks, and post-incident reviews that raise platform reliability over time
• Serve as a technical point of contact for product service teams integrating into the deployment pipeline — unblocking teams, troubleshooting complex environment issues, and advocating for infrastructure best practices
• Own the security posture of the deployment platform — managing secrets, certificates, RBAC policies, and security configurations to meet compliance and operational security requirements
• Mentor and grow other engineers on the team through code review, pairing, design discussions, and knowledge sharing

Senior Infrastructure Engineer, Government Systems

Controller

• Lead and scale Chainalysis’ global Accounting organization, ensuring operational excellence, scalability, and strong execution across all accounting operations globally.
• Oversee core accounting functions including General Ledger Accounting, Financial Reporting, Technical Accounting, Revenue Recognition, Consolidations, Accounts Payable, Accounts Receivable, Payroll, Tax Compliance, Treasury Operations, and Travel & Expense.
• Build and develop a high-performing global accounting organization with strong leadership depth, accountability, collaboration and operational excellence.
• Create an environment where teams are empowered to challenge legacy processes, drive change, improve how work gets done, and continuously raise the bar operationally.
• Serve as a strong culture ambassador and leader through change in a fast-paced, high-growth environment.
• Own and improve the monthly, quarterly, and year-end close processes, delivering timely and accurate financial reporting in accordance with US GAAP.
• Ensure accounting policies, practices, and reporting are compliant with US GAAP and relevant global standards, including complex SaaS revenue recognition, commissions, equity compensation, acquisitions, and other technical accounting matters.
• Lead the continued maturation of Chainalysis’ accounting and reporting environment toward public-company standards, including scalable controls, governance processes, SEC-readiness, SOX preparedness, and PCAOB-level audit readiness.
• Serve as the executive owner for global audits and the primary senior point of contact for external auditors.
• Drive operational excellence through simplification, standardization, automation, and disciplined execution across processes, systems, and team workflows.
• Be a strategic partner to leaders across Finance, Legal, Sales, RevOps, Product, People, IT, and executive leadership, helping ensure accounting, systems, controls, and operational processes support scalable business growth.
• Provide practical, solutions-oriented guidance on accounting and operational topics to support effective decision-making across the organization.
• Serve as a strategic advisor to the CFO and executive leadership team on accounting, operational scalability, organizational design, and financial infrastructure decisions.
• Support acquisitions and strategic transactions, including financial due diligence, purchase accounting, integration planning, and post-close operational integration.
• Champion a modern, technology-enabled accounting organization by leveraging automation, AI-enabled workflows, scalable systems, and data-driven insights to improve efficiency, decision support, employee experience, and operational effectiveness.
• Lead the evolution of the finance systems and accounting infrastructure, including ERP, billing, procurement, payroll, and reporting tools, while partnering across Finance and IT to simplify workflows, eliminate manual processes, and accelerate adoption of modern tools and AI-enabled capabilities.

Vice President, Global Controller

Accounting Manager

• Guide, manage and mentor the revenue accounting team
• Review and approve customer contracts for proper revenue recognition in accordance with company policy and revenue recognition accounting standards
• Collaborate with legal, deal desk, sales, revenue operations, professional services and other stakeholders to structure contracts and approve non standard deal terms
• Take a leading role in the monthly financial close, ensuring accurate and timely recording of transactions, review of reconciliations, and completion of relevant processes
• Lead, influence, and drive results in ongoing quote-to-cash, sales commission and revenue business initiatives, including process improvements, and system implementations to optimize global revenue operations.
• Be the Finance organization's subject matter expert on revenue recognition and ASC 606
• Lead special revenue projects including the implementation of new systems, new accounting standards, and new go to market strategies
• Seek to streamline and automate our revenue recognition processes
• Liaise with external auditors, present significant item updates and supporting documentation for the audit

Senior Manager, Revenue Accounting

Platform Engineer

• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve
• Design, implement, and optimize our high-performance, scalable data serving platform that enables data querying and consumption across the organization and external facing data products
• Design, implement, and optimize our high-performance, scalable data storage and transformation platform that enables both batch and stream processing with 100+ million updates per day on datasets > 100 billion rows
• Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases
• Build batch and streaming data pipelines for core blockchain datasets widely used across the company
• Deploy cloud infrastructure at scale with enterprise-grade reliability, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines
• Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines

Senior Data Platform Engineer, Data Cloud

• Own end-to-end delivery of enhancements across Workday and the broader People Tech stack, ensuring scalable and high-quality solutions
• Configure and maintain Workday HCM (business processes, security, notifications, and reporting) across key employee lifecycle processes
• Partner with stakeholders across People, Talent Acquisition, Finance, and BizTech to translate business needs into effective system solutions
• Identify and implement opportunities to improve automation – including AI-assisted workflows – to enhance data integrity, reduce manual effort, and elevate the user experience across People systems
• Ensure seamless interoperability across People systems (e.g., Workday, Adaptive, Ashby, payroll providers), optimizing end-to-end workflows
• Design, build, and maintain integrations between Workday and external systems, exploring AI and automation tools (e.g., Workato, AI-powered bots) to streamline data flows
• Monitor integration health, troubleshoot issues, and perform root cause analysis to ensure reliability
• Support workforce planning and headcount data flows, particularly between Workday and Adaptive
• Support testing efforts for new functionality and product releases, ensuring smooth and controlled deployments
• Maintain clear documentation and establish best practices for system governance, change management, and ongoing support
• Stay current on AI and automation trends in the HR Technology space, proactively recommending tools and approaches that can improve team efficiency and employee experience.

Senior People Systems – Integrations Analyst

Human Resources

• Build influential, trusted partnerships with senior R&D leaders globally to design and execute people strategies that directly support product and engineering roadmaps
• Understand business and technical objectives (from delivery velocity to quality and reliability) and translate them into an HR agenda that drives team health, productivity, and sustainable performance
• Develop a deep understanding of how our R&D teams build, ship, and operate products, serving as a thought partner on org design, leadership, and team effectiveness within your portfolio and cross‑functionally
• Coach engineering and product leaders on complex employee relations topics, including performance management, feedback frameworks, and career pathing for technical roles, and step in as a neutral mediator when needed
• Collaborate with Talent Acquisition and Finance on strategic headcount planning for R&D – identifying critical technical roles, succession pipelines, and hiring priorities that keep us ahead of business needs

Senior HR Business Partner – R&D

Engineer

• Lead Detection Strategy: Own the end-to-end roadmap for corporate threat detection, mapping coverage against frameworks like MITRE ATT&CK.
• Engineer High-Fidelity Detections: Design and maintain scalable detection logic across SIEM, EDR, and cloud logging platforms (AWS/GCP).
• Conduct Threat Hunting: Plan and execute hypothesis-driven hunting campaigns to uncover novel TTPs and turn findings into durable controls.
• Perform Risk Modeling: Lead threat assessments and design reviews for new technology on-boarding and product design changes.
• Optimize Response: Partner with Incident Response to refine alert quality, automate triage playbooks, and reduce time-to-containment.
• Mentor & Influence: Provide technical leadership and mentorship to the DaRE team while influencing product teams to improve visibility and remediate gaps.

Staff Threat Detection Engineer

Account Manager

• Build and execute the global channel strategy and program for Chainalysis, with a primary focus on resellers, VARs, distributors, MSPs, and SIs that extends our reach across target markets across crypto, financial services and public sector industries.
• Develop and roll out a scalable channel partner program (tiers, requirements, benefits) that incentivizes partners to source, influence and close new business.
• Hire, lead, and develop a small team of regional channel managers across the Americas, EMEA, APAC who will own day‑to‑day execution with local partners.
• Define and track partner-sourced and partner‑influenced pipeline and revenue in collaboration with RevOps, and use data to guide investment, prioritization, and quarterly business reviews.
• Design and deliver partner enablement on Chainalysis products and how to sell them – including ICPs and use cases, sales plays, how to qualify and register opportunities, co‑sell workflows, and objection handling.
• Partner closely with Sales, RevOps, Marketing, and Product to define how channel partners fit into our core growth motions.
• Establish governance cadences with strategic partners (joint business plans, QBRs/EBRs, pipeline and performance reviews) and with internal stakeholders.
• Collaborate with Legal and Finance to structure scalable commercial frameworks and standard terms (discount/margin structures, referral or rebate mechanisms, and deal‑desk guidelines) that work across regions.

Director – Channel Partnerships

Engineering Manager

• Build, lead, and mentor a team of talented engineers focused on clustering infrastructure and data systems
• Drive the technical vision and roadmap for the Clustering Platform
• Partner with data producers, consumers, and product stakeholders
• Establish engineering processes, tooling, and best practices
• Dive into hard problems hands-on when needed

Engineering Manager, Clustering Platform

Brand Designer

• Create inspiring, beautiful, and relevant assets that strengthen our brand. This will include print signage, social media assets, website designs, presentation decks, digital ads, multi-page reports, and more.
• Extend and maintain the Chainalysis brand system (layout, typography, color, illustration, icons) to ensure consistency at global scale.
• Partner with Product Marketing, Demand Gen, Communications, Events, and Web teams to concept and deliver assets that support launches and campaigns.
• Be accountable for timelines, deliverables, and output with oversight and support from Brand leadership and project teams.
• Explore and expand how AI can be used to accelerate and improve the design process.
• Contribute ideas that improve our design workflows, templates, and toolkits so non‑designers can produce on‑brand materials more easily.

Financial Planning and Analysis

• Partner with the sales organization to open executive doors, qualify opportunities, and articulate the commercial and risk value of Chainalysis solutions to institutional banking leaders.
• Act as a strategic overlay and trusted advisor during the sales process. Partner directly with Account Executives in client meetings, pitches, and negotiations to lend institutional credibility, map solutions to specific desk requirements, and drive complex enterprise deals to close.
• Serve as the bridge that converts blockchain, stablecoin, and tokenization concepts into language and business cases that resonate with leaders in Global Transaction Banking (GTB), Prime Brokerage, Securities Services, and Custody.
• Leverage an established network of institutional banking executives to drive strategic partnerships; co-develop integrated go-to-market plans with System Integrators and consulting firms.
• Serve as a compelling speaker, panelist, and subject matter expert at major industry events, roundtables, and executive briefings to represent Chainalysis and drive market awareness within institutional finance.
• Collect and synthesize institutional-specific requirements (e.g., correspondent banking network risks, tokenized asset workflows) to guide the Chainalysis product roadmap and technology integration priorities.

Senior Data Scientist

Senior People Systems, Integrations Analyst

People Programs Lead

People Programs Lead

Senior Infrastructure Engineer, Government Systems

Vice President, Global Controller

Senior Manager, Revenue Accounting

Senior Data Platform Engineer, Data Cloud

Senior People Systems – Integrations Analyst

Senior HR Business Partner – R&D

Staff Threat Detection Engineer

Director – Channel Partnerships

Engineering Manager, Clustering Platform

Brand Designer

Senior Financial Institution SME – Institutional Banking, Digital Assets