Jobs at WEKA

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Serve as the primary legal partner to Product, Engineering, Security, and Support. Build risk-tiered product review processes, counsel on data use and AI governance, and own WEKA’s privacy program covering GDPR, CCPA/CPRA, DPAs, data mapping, subprocessors, retention, transfers, incidents, and audits. Create scalable policies, playbooks, workflows, and training while providing backup commercial support, managing outside counsel, and enabling efficient product launches.

Provides senior technical support for enterprise infrastructure customers, troubleshooting hardware, networking, distributed storage, virtualization, cloud, and performance issues. Acts as the liaison between customers, account teams, partners, and Engineering; monitors systems, manages support cases, documents solutions, contributes product feedback, supports pre-sales, and participates in on-call rotations and potential travel.

Manage commercial contract reviews, redlines, templates, approvals, workflows, renewals, and signatures. Administer the contract lifecycle management system, maintain legal records and metrics, triage legal requests, review outside counsel invoices, track legal spend, and support compliance, diligence, and corporate recordkeeping. Partner with Sales, Finance, Procurement, attorneys, and outside counsel while improving processes through automation and AI tools.

Develop and maintain Python services, CLIs, libraries, and infrastructure supporting CI, test scheduling, and execution. Refactor a large monolith into independently testable services, build AI-driven developer tools, and develop GitHub Actions workflows, Bazel packaging, Kubernetes-based runners, and cloud test infrastructure. Monitor platform health through dashboards, alerts, and checks while participating in on-call responsibilities.

Lead multiple platform engineering teams developing performance-critical distributed storage infrastructure. Drive technical strategy, architecture, execution, and optimization across high-speed networking, storage I/O, memory management, Linux systems, and hardware-software integration. Mentor senior engineers and technical leaders, guide architectural trade-offs, improve reliability and scalability, and collaborate with architects and cross-functional leaders on technical priorities.

Owns end-to-end post-sales technical support for federal and special-program customers in secure, classified, and air-gapped environments. Diagnoses issues across Linux, compute, GPUs, networking, storage, cloud, and applications; collects and sanitizes diagnostics; manages escalations; maintains hardened deployments; supports hardware replacement; writes knowledge-base content; and provides customer and pre-sales support. The role includes on-call rotations, secure-facility work, and regional and domestic travel.

Provides senior-level technical support for enterprise infrastructure customers. Troubleshoots complex Linux, storage, networking, virtualization, Kubernetes, and HPC issues; reproduces problems in lab environments; monitors systems; manages customer tickets; and escalates issues to Engineering and Product teams. Supports presales teams and partners, creates technical documentation, contributes to company initiatives, participates in on-call rotations, and may travel internationally.

Develops technical product marketing for WEKA’s AI infrastructure platform across APJ, with a primary focus on China. Responsibilities include localizing and creating Mandarin technical content, delivering workshops and technical presentations, supporting customer and partner validation, managing Chinese-language channels, building technical community influence, gathering regional product feedback, tracking competitive trends, and enabling sales. The role requires deep AI/ML infrastructure knowledge, strong Mandarin and English communication, regional market experience, and travel across APJ.

Own complex customer escalations across applications, GPUs, compute, networking, storage, cloud, and the WEKA Data Platform. Diagnose root causes, develop permanent fixes, provide engineering-ready defect reports, author technical advisories and knowledge-base content, improve tooling and support processes, mentor engineers, deliver training, and participate in 24/7 on-call coverage. Serve as the subject matter expert for NVIDIA Cloud Partner and DGX Cloud environments, collaborating with NVIDIA and customer engineering teams.

Own complex customer escalations across GPU and compute systems, Linux, networking, storage, cloud, and applications. Diagnose root causes, deliver permanent fixes, collaborate with development on defects, create technical advisories and knowledge articles, build automation, mentor support engineers, provide training, and participate in 24/7 on-call coverage. Serve as the subject matter expert for NVIDIA Cloud Partner and DGX Cloud environments, including benchmark tooling and joint troubleshooting with NVIDIA engineers.

Leads release management and technical program execution across Engineering and Product. Responsibilities include managing Senior Release Managers, owning software release lifecycles, defining governance and SDLC processes, coordinating dependencies and milestones, assessing readiness and risks, improving release tooling and automation, and influencing senior technical stakeholders.

Own enterprise sales across Australia, focusing on new customer acquisition, pipeline development, quota attainment, and customer adoption. Build strategic plans, manage customer relationships, develop joint opportunities with VAR partners, and collaborate with product, support, sales engineering, and senior leadership. The role requires strong IT sales experience, technical knowledge of storage and networking, excellent communication skills, and travel for client meetings and industry events.

Manages partner marketing execution across regions, including MDF lifecycle administration, joint webinars, campaigns, communications, partner portal updates, and event support. Coordinates with field marketing, product marketing, finance, alliances, and external partners to keep activities on schedule, auditable, and aligned with demand generation. Tracks marketing-sourced and influenced pipeline performance while supporting joint launches, co-branded content, partner communications, and enablement initiatives.

Generates outbound pipeline across named enterprise accounts through personalized email, phone, and LinkedIn outreach. Researches accounts, identifies stakeholders and buying signals, qualifies inbound and outbound interest, books discovery meetings, and maintains accurate Salesforce records. The role requires strong communication, resilience, organization, curiosity about AI infrastructure, and the ability to engage technical and business buyers. Prior SDR or enterprise technology sales experience and familiarity with Salesforce, Gong, LinkedIn Sales Navigator, or Nooks are preferred.

Own WEKA’s editorial programming across its website, YouTube, LinkedIn, newsletters, podcast, and online communities. Build and manage the editorial calendar, develop technical thought leadership, direct contract writers, repurpose content across formats, improve production workflows with AI, and use performance analytics to optimize audience growth, engagement, search visibility, and LLM citations. Collaborate with social, web, SEO, creative, communications, and customer advocacy teams while maintaining high editorial and brand standards.

Administer WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity, storage configuration, tenant onboarding, workload optimization, Kubernetes and GPU client validation, performance benchmarking, incident escalation, runbook creation, automation, and continuity planning. The role requires deep Linux, storage, networking, Kubernetes, cloud, monitoring, and scripting expertise while supporting multiple external customers and tenants.

Owns end-to-end delivery of complex, multi-phase enterprise infrastructure builds for customers. Coordinates customers, OEMs, infrastructure partners, channels, architects, and sales teams; manages schedules, scope, risks, dependencies, budgets, change control, and phased acceptance. Leads executive status meetings, resolves blockers, transitions completed builds to operations, improves professional services processes, and mentors junior engagement managers.

Deliver enterprise solutions and services for WEKA customers, leading product onboarding, installation, deployment, and production implementation. Manage deployment projects, assess risks, document solution architectures, develop automation and custom scripts, test deployments, and troubleshoot AI/HPC infrastructure in Linux and cloud or on-premises environments. Collaborate with sales, engineering, product, customers, and partners while providing technical guidance, knowledge transfer, and customer support.

Deliver enterprise WEKA solutions for APAC customers, managing deployments from onboarding through production. Lead installation projects, risk assessment, scheduling, documentation, architecture, automation, testing, and troubleshooting. Deploy and manage AI/HPC infrastructure in Linux environments, using scripting, cluster-management tools, Kubernetes, networking, and parallel filesystems. Collaborate with sales, engineering, product teams, customers, and partners while providing technical guidance, knowledge transfer, and customer-focused support.