Jobs at Hammerspace

Develop and maintain technical product and solution content, partner materials, competitive intelligence, sales enablement tools, messaging, and campaign support. Collaborate with Product Management, Engineering, Sales, Marketing, and technology partners to translate complex enterprise infrastructure, AI, storage, and high-performance computing concepts into compelling materials for technical and business audiences. Independently manage multiple projects, coordinate reviews, and support go-to-market initiatives.

Lead regional enterprise sales across Southern California and the Southwest by developing sales strategies, exceeding quotas, acquiring and expanding customer accounts, managing pipelines, forecasting performance, and building executive relationships. Collaborate with SDR, Marketing, Product, and Engineering teams to support customer outcomes. Travel up to 50% for client meetings, site visits, and industry events.

Serve as the technical expert throughout enterprise sales cycles for Hammerspace data platform solutions. Partner with sales teams, account managers, specialists, and channel partners to understand customer needs, design solutions, conduct evaluations and benchmarks, deliver technical presentations, and support RFPs, RFQs, and RFIs. Provide expertise in enterprise storage, distributed architectures, Linux, networking, cloud-native technologies, and competitive offerings while driving technical wins and new business.

Serve as the technical expert throughout enterprise storage and data management sales cycles. Partner with sales teams, account managers, specialists, and channel partners to understand customer needs, design solutions, lead evaluations and benchmarks, deliver architecture presentations, and secure technical wins. Support RFPs, RFQs, and RFIs; validate interoperability and performance; communicate competitive positioning; and contribute to roadmap, marketing, and thought-leadership initiatives.

Build and manage Hammerspace’s AI-powered knowledge ecosystem for the go-to-market organization. Responsibilities include designing AI workflows and retrieval experiences, developing onboarding and certification programs, evaluating AI technologies, driving adoption, automating knowledge work, and establishing governance and taxonomy. The role partners cross-functionally with Product, Engineering, Presales, Marketing, Sales, and Customer Success to improve knowledge discovery, employee readiness, onboarding speed, and time-to-productivity.

Lead Americas enterprise sales for a global data environment vendor: own quota, scale and coach a MEDDIC/MEDDPICC-driven sales organization, close complex SDS/storage deals with enterprise and channel partners, deliver predictable forecasting, and build relationships with VARs, SIs and cloud hyperscalers.

Lead pre-sales technical engagements in China for Hammerspace, translating customer requirements into storage and data management solutions. Run evaluations, benchmarks, demos, and RFP responses; collaborate with sales, partners, product, and marketing; and provide domain expertise on distributed storage, file systems, cloud, and networking architectures.

Embed with strategic accounts to design and deploy data architectures that accelerate AI/ML and HPC workloads. Build custom integrations, debug high-speed networks and storage, collaborate with engineering to convert field fixes into product improvements, and identify expansion opportunities while managing technical stakeholders.

Lead regional enterprise sales in New England for a data platform: develop and execute regional sales plans, acquire and manage enterprise accounts, collaborate with SDRs/marketing/product/engineering, manage pipeline and forecasts using CRM tools, analyze market trends, and travel up to 50% to close deals and maintain customer relationships.

The Forward Deployed Engineer at Hammerspace will optimize AI and data architectures, engage deeply with clients, and ensure seamless integration of Hammerspace solutions in hybrid-cloud environments.

You will design and implement automation frameworks using Python and shell scripts, manage infrastructure as code with Ansible and Terraform, and collaborate with teams to ensure robust, reliable environments, while also performing hands-on tasks in data centers.