Jobs at Kraken Digital Asset Exchange

Supports global M&A, strategic investments, and venture portfolio management. Responsibilities include leading transaction diligence, maintaining data rooms, building financial models and valuation analyses, screening opportunities, tracking portfolio performance, forecasting deal-related cash obligations, and preparing executive and Board materials. The role requires strong financial modeling, business analysis, writing, storytelling, and the ability to manage multiple high-priority transactions independently.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.

Own the CRM and sales tooling strategy and roadmap for Kraken’s B2B sales organization. Prioritize competing stakeholder needs, define product requirements, improve CRM adoption and data quality, and coordinate Salesforce integrations and workflows across teams. Partner with Sales, Engineering, Operations, and leadership to address systemic product, process, integration, and data challenges. The role requires strong Salesforce Sales Cloud fluency, B2B sales process knowledge, analytical judgment, and the ability to translate ambiguous requests into scalable solutions.

Define and execute Kraken’s hybridization and on-chain product strategy across Pro and Consumer products. Own roadmaps, cross-functional execution, ecosystem partnerships, product metrics, experimentation, and the full lifecycle from discovery through iteration. Simplify complex on-chain experiences for consumers while aligning Engineering, Design, Growth, Security, Operations, Legal, and external partners.

Design and specify automated paid-growth workflows, collaborate with engineers to implement agent-driven campaigns, QA agent outputs, refine AI-generated creative, and extend automation to CRO, incentives, referrals, and lifecycle growth functions.

Designs and automates organic growth workflows for SEO and AEO, builds content brief pipelines, monitors LLM visibility, QA's AI content outputs, and extends automation across growth functions.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Own and execute end-to-end collaboration-platform integrations for acquisitions: scope and migrate Google Workspace, Slack, Zoom, mailboxes, channels, and domains. Maintain platform governance, email/domain security, DLP, archiving, eDiscovery/legal holds, and incident response. Build repeatable playbooks, automation, and tooling; coordinate cross-functionally with Legal, Compliance, IT, Security, and Corporate Development.

Design and verify secure architectures across infrastructure, applications, blockchain, Rust, and AI projects. Perform in-depth security assessments and audits, recommend mitigations, and embed with engineering teams to improve security posture and operational practices.

Lead and manage SOC 1/SOC 2 examinations and SOX 404 IT control activities; assess ITGCs/ITACs, perform gap and impact assessments, drive remediation, collect auditor-ready evidence, and partner cross-functionally to design scalable controls for cloud and hybrid environments.

Lead and scale Kraken Pro's global KOL/affiliate program: build BD team and processes, source/contract/manage KOLs, ensure compliance, drive creative regional campaigns, measure ROI, and deepen partner engagement.

Lead the Pro team to design, develop, and deliver frontend systems for Kraken's trading interface, focusing on user experience and mentoring engineers.

Lead and evolve Payward's core brand system—guidelines, component libraries, templates and assets—ensuring coherent visual identity across brands. Define brand behavior for emerging surfaces and AI outputs, collaborate with pods to fix systemic issues, translate complex crypto and finance concepts into usable guidance, run constructive design reviews, and shape how design tooling and AI affect brand practice.

Lead and evolve Payward's core brand system: guidelines, component libraries, templates, and assets. Raise brand quality across product pods through systems thinking, guidance, and design reviews. Define identity standards for new surfaces (including AI and motion), collaborate with designers, PMs, and marketers, and translate complex crypto and finance concepts into usable brand guidance.

Lead Consumer Trading product initiatives for Kraken: prototype features with AI tools, define product requirements, run UAT, collaborate with stakeholders, finance and operations, use analytics and experimentation to drive product decisions, and evaluate new consumer product opportunities.

Lead risk-based operational and post-acquisition integration audits globally, assess control design and operating effectiveness, direct specialist SMEs, apply AI-enabled auditing and data analytics, manage multiple engagements end-to-end, report findings to senior stakeholders, and mentor audit teams.

Lead and execute technology audits across cybersecurity, cloud, IAM, SDLC, data/privacy, operational resilience, and AI governance. Plan fieldwork, test ITGCs and application controls against frameworks, document findings, manage remediation, and coordinate with stakeholders and co-sourced teams to improve control environments.

Operate and improve a shared telemetry platform for metrics, logs, traces, alerting, dashboards, and profiling. Maintain collection, storage, querying, routing, and pipelines; troubleshoot production telemetry issues; deploy and manage services with IaC and container orchestration; build automation for dashboards and alerts; participate in incident response, on-call, and runbook documentation.

Operate and evolve an OpenStack-based private cloud and Ceph storage, troubleshoot full-stack issues, handle feature requests and support tickets, build automation and tooling, document runbooks, integrate storage with Kubernetes, and participate in on-call rotations to maintain platform reliability.