Role Description Cisco is seeking a transformational Head of Governance, Risk & Compliance (GRC) to lead the modernization of product security governance, compliance, and risk assurance across the Network Platform Security Organization’s global portfolio of cloud, SaaS, networking, OT/IoT, and hardware products. This leader will architect and operationalize a next-generation, AI-enabled GRC organization focused on automation-first governance, continuous compliance, risk telemetry, and scalable assurance capabilities integrated directly into engineering and product delivery workflows. Your Impact - Lead the transformation of Network Platform Security Organization’s product GRC function into a modern, engineering-driven risk and assurance organization. - Balance regulatory rigor with speed, scalability, and business enablement. - Influence senior leaders across security, engineering, product, legal, and enterprise governance organizations. - Drive a culture of automation, measurable risk transparency, engineering partnership, and operational excellence. - Own divisional product compliance programs and certifications, including FedRAMP, ISO 27001, SOC, NIST-aligned frameworks, global privacy/security obligations, and emerging regulatory requirements. - Design and implement AI-enabled GRC operating models that leverage automation, telemetry, analytics, and workflow orchestration to improve risk visibility and operational efficiency. Qualifications - Bachelor's Degree combined with 8 years of experience in cybersecurity, product security, governance/risk/compliance, or security engineering leadership roles within global technology organizations, or Master's Degree, combined with 6 years of related experience, or PhD, combined with 3 years of similar experience. - Previous supervisory experience also required. - Experience leading large-scale GRC transformation initiatives in complex product or cloud environments. - Understanding of modern compliance and assurance frameworks including FedRAMP, ISO 27001, SOC 2, NIST, GDPR, NIS2, DORA, PCI, and related global regulatory frameworks. - Experience building or scaling automation-first governance, continuous compliance, or GRC engineering capabilities. - Leadership experience managing technical and cross-functional teams. Preferred Qualifications - Experience within cloud, SaaS, enterprise networking, OT/IoT, or hardware product environments. - Background in DevSecOps, controls engineering, security automation, or risk engineering. - Experience with AI/LLM-enabled operational tooling or analytics platforms. - Experience crafting scalable governance platforms and internal assurance tooling. - Industry certifications such as CISSP, CISM, CRISC, CISA, ISO Lead Auditor, or equivalent. Benefits - Medical, dental and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees. - 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco. - 16 days of paid vacation time per full calendar year for non-exempt employees. - Flexible vacation time off program for exempt employees. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer.

Role Description The GPU Clusters team is at the heart of Cohere's infrastructure, building and operating the superclusters that power our frontier AI models. We're not just managing hardware - we're enabling the research and development that defines what's possible with large language models. This team sits at the intersection of cutting-edge hardware, distributed systems, and AI research, working directly with cloud providers and researchers to solve challenges that few companies in the world are tackling. As an Engineering Manager, you will: - Team Leadership & Development - Lead and mentor a team of engineers specializing in GPU infrastructure, fostering a culture of technical excellence and continuous improvement. - Manage performance, career development, and hiring for team members. - Conduct regular 1:1s and team meetings to ensure alignment and address challenges. - Provide technical guidance and support to team members on complex infrastructure problems. - Technical Strategy & Execution - Define and execute the technical roadmap for GPU cluster deployment, optimization, and scaling. - Oversee the implementation of topology-aware scheduling, hardware fault detection, and performance optimization systems. - Collaborate with cloud providers to validate and deploy new GPU architectures. - Ensure infrastructure reliability, scalability, and security across all GPU environments. - Cross-Functional Collaboration - Partner with AI researchers to understand emerging infrastructure needs and translate them into robust solutions. - Work with the Foundations team on training software stack adaptation for new GPU architectures. - Coordinate with Capacity EPM on delivery timelines and resource planning. - Interface with Legal and Security teams on compliance requirements. - Collaborate with other infrastructure teams on shared goals and dependencies. - Operational Excellence - Establish observability and monitoring frameworks for GPU utilization, performance, and reliability. - Implement infrastructure-as-code practices and automation for cluster provisioning. - Drive cost optimization initiatives while maintaining performance standards. - Manage vendor relationships and contract negotiations for hardware and cloud services. - Ensure documentation is comprehensive, up-to-date, and accessible to stakeholders. Qualifications - Experience managing engineering teams with a focus on technical mentorship and growth. - Strong communication skills to translate complex technical concepts for diverse audiences. - Ability to make data-informed decisions under pressure. - Experience working in remote, distributed teams. - Commitment to fostering an inclusive and collaborative team culture. - Deep expertise in ML/HPC infrastructure: GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing environments. - Proven experience with Kubernetes at scale: deployment, management, and troubleshooting cloud-native clusters for AI workloads in multi-cloud environments. - Knowledge of infrastructure monitoring tools (Prometheus, Grafana). - Familiarity with Terraform, ArgoCD, or other IaC tools. - Experience with cost optimization and capacity planning for GPU infrastructure. - Track record of collaborating with AI researchers or ML engineers to solve infrastructure challenges. Personal Qualities - Strong problem-solving abilities with a data-driven approach. - Passion for enabling AI research through robust infrastructure. - Collaborative mindset with a focus on cross-team success. - Willingness to learn and adapt in a fast-paced, evolving environment. Benefits - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. - Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!). - Budget for traveling to other offices if you are remote, plus an annual company offsite.

• Build and lead a highly engaged distributed team by hiring, supporting, coaching the team to deliver consistently and continuously seek ways to make an impact. • Work cross functionally primarily with product, design and support teams to set direction for the team, anticipate strategic and scaling related challenges through thoughtful long term planning • Work with your team on the iterative execution of the roadmap and build efficient & transparent processes for consistent and predictable delivery. • Coach and mentor engineers on the team to further their professional development. • Work with other engineering managers to continuously improve our organization & create a strong sense of ownership, belonging and inclusivity.

Role Description We're partnering with a well-funded digital financial services company to hire a Founding Engineering Manager for a brand-new crypto and digital payments initiative. This is a unique opportunity to join at the earliest stage of a new business, leading the technical direction, building the engineering team, and delivering secure, scalable financial products in a regulated environment. - Lead the end-to-end engineering delivery for a new crypto and payments platform. - Build and grow the founding engineering team, setting a high bar for hiring and engineering excellence. - Define technical architecture and make key build-versus-buy decisions. - Design and implement integrations with third-party platforms and infrastructure providers. - Partner closely with Product, Design, Compliance, and business stakeholders to deliver customer-focused solutions. - Establish engineering best practices, CI/CD, observability, and modern software development processes. - Mentor engineers while remaining hands-on with architecture and technical decision-making. Qualifications - 10+ years of software engineering experience with at least 4 years leading engineering teams. - Experience within crypto, blockchain, digital assets, fintech, digital banking, or payments. - Proven experience delivering production systems in regulated financial environments. - Strong software engineering background with modern backend or full-stack technologies (Java and/or Python preferred). - Experience designing distributed systems, APIs, and cloud-native applications. - Ability to build and scale high-performing engineering teams. - Strong stakeholder management and communication skills. Requirements - Wallet, custody, or blockchain infrastructure experience. - MPC, HSM, or digital asset security knowledge. - Experience with KYC, AML, fraud, payments, or ledger platforms. - AWS cloud and serverless architecture. - Experience building greenfield products or leading engineering teams in high-growth environments. Benefits - Founding engineering leadership opportunity. - Build a new product and engineering organisation from scratch. - High ownership with significant influence over technical strategy. - Competitive compensation package, performance bonus, and equity. - Flexible remote working within APAC. - Opportunity to work on innovative products at the intersection of fintech and digital assets.