Jobs at WEKA

Leads a regional enterprise sales team responsible for selling WEKA’s AI infrastructure solutions. The role involves recruiting, hiring, coaching, pipeline generation, complex sales-cycle management, forecasting, quota attainment, client escalation management, ecosystem partner development, account expansion, new-logo acquisition, and cross-functional collaboration with marketing, sales engineering, channel, support, product, and sales operations.

Leads internal and executive communications for a global, high-growth AI infrastructure company. Responsibilities include producing company-wide events, advising senior executives, developing internal messaging and presentations, managing communication channels, supporting change and crisis communications, partnering with People, Legal, and Finance, building repeatable communication programs, using AI-assisted workflows, and measuring employee engagement. Requires strong executive presence, exceptional writing, event production experience, change communications expertise, and 8+ years of relevant 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.

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.

Owns Customer Success operations projects from design through implementation, including playbooks, workflows, automation, dashboards, reporting, health scoring, and renewal-risk processes. Partners with Data Engineering, BI, Finance, RevOps, Product, and Sales to improve CS data infrastructure and operational execution. Translates complex data into leadership recommendations and retention insights while operating autonomously in a fast-paced B2B SaaS environment.

The Senior Sales Engineer will partner with customers to provide technical education on WEKA's solutions, assist with evaluations, and deliver presentations and demos, acting as a technical adviser while contributing to technical documentation.

Provides senior technical support for enterprise infrastructure customers, troubleshooting hardware, networking, distributed storage, cloud, and performance issues. Acts as the primary liaison between customers, account teams, partners, and Engineering; manages support cases, monitors systems, documents solutions, and communicates product feedback. Requires Linux and networking expertise, Python and Bash automation, on-call availability, and occasional regional or international travel.

Lead global revenue operations across Sales, Marketing, Customer Success, Finance, and channel teams. Own forecasting, territory planning, pipeline management, compensation, quote-to-cash processes, GTM systems, data governance, dashboards, and KPI visibility. Partner with executives and the board while supporting complex third-party hardware configuration and quoting. Build and manage a high-performing global operations team and optimize scalable go-to-market execution.

Owns end-to-end delivery of complex customer infrastructure builds lasting 90–120 days. Coordinates customers, OEMs, infrastructure partners, integrators, and internal teams; manages schedules, scope, risks, dependencies, budgets, change control, phased acceptance, and operational handoffs. Leads executive communications, resolves blockers, improves professional services methodologies, mentors engagement managers, and supports customer growth opportunities.

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.

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.

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 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.

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.

Provides senior technical support for enterprise infrastructure customers, diagnosing hardware, networking, storage, cloud, and distributed-system issues. Serves as the liaison between customers, account teams, partners, and Engineering; monitors systems, manages support cases, documents solutions, improves product supportability, and contributes to customer-facing knowledge resources. Requires on-call availability, flexible work hours, and potential regional or international travel.

Own product marketing for WEKA’s AI inference business, defining positioning, messaging, use cases, competitive differentiation, and economic value. Partner with Product, Engineering, Sales, customers, and cloud providers to validate market opportunities, recruit design partners, create proof and content, launch capabilities, and build repeatable sales enablement. The role requires deep understanding of AI infrastructure and inference economics, strong storytelling, and hands-on execution in an evolving early-stage market.

Own WEKA’s OEM alliance portfolio across North America, managing strategic relationships with partners including Dell, AMD, HPE, Cisco, Hitachi, Lenovo, and Supermicro. Develop joint go-to-market strategies, enable partner sales teams, build executive alignment, generate pipeline, support co-selling, and represent WEKA at industry events. The role focuses on positioning WEKA’s AI infrastructure and storage platform across partner ecosystems while creating integrated customer opportunities.

Own WEKA’s North American ISV alliance portfolio across the AI/ML ecosystem. Develop joint go-to-market strategies, integrations, enablement programs, executive relationships, co-selling motions, and pipeline opportunities. Position WEKA as the data platform for AI software stacks while coordinating with product, engineering, sales, marketing, OEM, cloud, and technology partners to deliver validated solutions and revenue growth.

Manage WEKA’s North American ISV alliance portfolio across AI/ML, cloud, data, and Kubernetes ecosystems. Develop joint go-to-market strategies, drive co-selling and pipeline, secure executive alignment, and create revenue opportunities. Coordinate technical integrations, certifications, marketplace listings, and reference architectures with product and engineering teams. Deliver partner enablement, identify cross-partner solutions, and represent WEKA at industry events and executive briefings.

The Senior Product Manager will define and manage the roadmap for WEKA appliances, liaise with ecosystem partners, and ensure product delivery while maintaining market insights and collaboration with sales and engineering teams.