Jobs at SambaNova Systems

Leads the design and hands-on development of production AI solutions, including multi-agent systems, self-improving evaluation loops, open-model integration, multimodal and voice pipelines, and full-stack applications. Engages strategic customers through discovery, workshops, prototypes, and production deployments. Sets technical direction, mentors solutions engineers, develops SambaStack tooling, publishes reference architectures, and communicates product feedback to engineering and product teams.

Own and grow SambaNova’s digital content engine across web, blog, email, SEO, and demand-generation campaigns. Responsibilities include managing the editorial calendar, conducting keyword research, optimizing web content, writing technical and marketing assets, developing landing pages and nurture sequences, editing contributor content, and measuring performance with analytics. The role partners with product marketing, demand generation, design, communications, and developer relations to increase organic traffic, rankings, engagement, and pipeline.

Owns the SambaNova web ecosystem and partner portal roadmap, including project intake, prioritization, timelines, CMS page creation, QA, governance, performance, analytics, accessibility, SEO, testing, and conversion optimization. Coordinates designers, developers, agencies, content, marketing operations, and translation providers while managing technical requirements, budgets, stakeholder expectations, and reporting on web performance.

Own and scale SambaNova’s global partner marketing strategy, developing joint go-to-market campaigns, demand programs, enablement, events, ABM initiatives, and field activations with technology and ecosystem partners. The role coordinates cross-functional and regional teams, translates technical products into compelling partner stories, establishes marketing frameworks and KPIs, and measures impact on awareness, engagement, target-account penetration, and pipeline.

Lead product marketing strategy for SambaNova’s SambaRack and SambaStack AI infrastructure portfolio. Own positioning, messaging, portfolio narratives, competitive differentiation, launch planning, customer research, sales enablement, market-facing content, and field training. Partner cross-functionally with Product, Engineering, Sales, Communications, Field Marketing, Design, and partners to translate complex hardware-software capabilities into customer value and measurable go-to-market outcomes.

Build and scale SambaNova’s analyst relations program across semiconductors, AI infrastructure, cloud, data centers, and enterprise technology. Develop analyst relationships, lead briefings and research engagements, prepare executives and technical experts, translate complex technology into credible narratives, track program impact, and incorporate analyst insights into product strategy, positioning, go-to-market planning, and executive decisions.

Own the end-to-end SambaCloud experience for developers, partners, and managed customers. Lead the experience roadmap across onboarding, APIs, documentation, integrations, demos, and user journeys while partnering with Product and Engineering on platform, infrastructure, security, and reliability priorities. Coordinate technical delivery, releases, readiness, metrics, playbooks, and cross-functional stakeholder communication to ensure reliable, polished cloud experiences.

Own and grow SambaNova’s enterprise financial services sales business across major US banks, capital markets firms, asset managers, and insurers. Build executive relationships, manage complex infrastructure and platform pursuits, lead technical and commercial validation, navigate financial-sector governance requirements, drive negotiations and production deployments, maintain forecast accuracy, and develop a scalable segment playbook. The role requires deep enterprise technology sales experience, strong financial services relationships, AI infrastructure fluency, and executive presence.

Develops technical partner marketing strategies across the AI ecosystem, defining joint value propositions and translating integrations into reference architectures, demos, content, launches, and field enablement. The role coordinates Alliances, Engineering, Product, Developer Relations, Sales, and external partners to execute go-to-market programs, support technical workshops and events, create scalable playbooks, and measure developer adoption, partner engagement, influenced pipeline, and customer outcomes.

Support three senior leaders across Engineering, G&A, and Sales by managing complex calendars, meetings, travel, expenses, communications, events, action items, vendors, and confidential information. Coordinate cross-functional processes, track follow-ups and OKRs, assist with organizational planning, and support ad hoc projects in a fast-paced technology environment.

As a Software Architect, you will define the SambaStack platform's technical direction, ensure system scalability, and resolve architectural challenges while mentoring engineers.

Owns architecture, microarchitecture, RTL design, integration, and implementation of high-speed I/O and memory subsystems for AI accelerator platforms. Responsibilities include SystemVerilog development, front-end design flows, protocol and vendor IP integration, PPA optimization, timing closure, verification collaboration, issue resolution, and cross-functional lifecycle execution from architecture through silicon.

Designs, builds, and deploys production generative AI applications for strategic enterprise customers using SambaNova hardware and software. Responsibilities include architecting RAG and multi-agent workflows, optimizing inference performance, troubleshooting across model, software, and hardware layers, translating customer needs into product requirements, supporting technical sales engagements, creating reusable deployment accelerators, and presenting technical findings to customers and internal teams.

Leads ecosystem strategy for SambaNova’s AI accelerator products across networking, inference serving, storage, caching, prefill, CPU offload, and compiler systems. Defines build-versus-partner decisions, owns reference architectures and certification programs, drives co-optimization with software and model partners, and converts ecosystem relationships into deployments, demand, and revenue. The role also leads external positioning, analyst engagement, executive scorecards, and cross-functional execution with engineering, product strategy, marketing, and partners.

Leads competitive intelligence and product strategy for AI accelerator infrastructure. Builds TCO, tokenomics, capacity, and demand models; tracks competitor architectures, roadmaps, supply signals, and data-center systems; translates findings into roadmap, pricing, positioning, and investment decisions. Develops agentic AI tooling to automate research monitoring, specification extraction, and executive briefings. Runs weekly, monthly, and quarterly intelligence cadences for product and executive stakeholders.

Design and implement runtime-stack features for scalable, high-performance ML inference and training. Develop system software, drivers, kernels, user-space libraries, management tools, profiling and debugging capabilities. Optimize hardware utilization and performance across distributed systems, collaborate with hardware, compiler, ML application, and DevOps teams, and build, test, and deploy software for AI and HPC platforms.

Lead SambaNova’s EMEIA sales organization and regional go-to-market strategy across Europe, the Middle East, India, and Africa. Build and coach sub-regional leadership and sales teams, execute product launches, establish repeatable sales methodologies, improve forecasting and pipeline discipline, support strategic enterprise deals, and develop C-level relationships. Partner cross-functionally with operations, marketing, product, customer success, and partnerships teams to drive predictable revenue growth across enterprise, government, neo-cloud, and model-maker segments.

Drive planning and execution of multiple software and ML workstreams, manage cross-functional dependencies, gather requirements, track schedules, support development-to-deployment, and improve processes to deliver customer product releases.

Develop and enhance runtime stack features for high performance ML applications, manage system software, and collaborate with teams to optimize AI systems.

The role involves leading a software engineering team focused on AI infrastructure and enterprise software, ensuring technical quality and team development while also contributing as a hands-on engineer.