SambaNova Systems Logo

SambaNova Systems

Senior Technical Partner Marketing Manager

Posted Yesterday
Be an Early Applicant
In-Office
San Jose, CA, USA
196K-240K Annually
Senior level
In-Office
San Jose, CA, USA
196K-240K Annually
Senior level
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.
The summary above was generated by AI

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

SambaNova is hiring a Senior Technical Partner Marketing Manager to turn relationships across the ML and AI ecosystem into differentiated joint solutions, clear “better together” stories, and repeatable go-to-market programs. This role will work across model-serving and open-source frameworks, silicon and infrastructure, cloud and inference platforms, model providers, developer tools, and AI application platforms to show how combined technologies create greater value for developers and enterprise customers.


About the Role

This role sits at the intersection of Partner Engineering, Developer Relations, Product Marketing, Alliances, Product, and go-to-market. You will identify the strongest joint value propositions by ecosystem segment, translate integrations and shared roadmaps into credible technical stories, and bring those stories to market through reference architectures, demos, launches, content, and field programs. The right candidate can go deep enough on an integration to define why it matters, align independent organizations around a shared narrative, and build a coordinated GTM motion that creates adoption and business value for both sides.


Responsibilities
  • Develop segment-specific partner strategies across model-serving and open-source frameworks, silicon and accelerators, cloud and inference providers, model providers, data and developer platforms, AI tooling, and application ecosystems
  • Define differentiated “better together” value propositions that explain the customer and developer outcomes created by each class of integration
  • Turn partner integrations into reference architectures, validated demos, solution briefs, tutorials, benchmarks, presentations, and field enablement
  • Build and execute joint go-to-market plans with clear audiences, use cases, messaging, assets, launch sequences, field motions, and measures of success
  • Partner closely with Alliances, Engineering, Product, Developer Relations, Product Marketing, Sales, and partner teams to define shared priorities, responsibilities, and deliverables
  • Lead the content and readiness workstream for partner launches, ensuring technical claims, demonstrations, and proof points are accurate and reviewable
  • Create reusable segment playbooks that help SambaNova evaluate opportunities and scale successful partner motions across the ML and AI ecosystem
  • Support technical workshops, partner briefings, field meetings, campaigns, events, webinars, and executive engagements with tailored demos and clear talk tracks
  • Gather ecosystem feedback and competitive insight to inform product priorities, integration strategy, positioning, and future partner investments
  • Track developer adoption, co-marketing performance, influenced pipeline, asset usage, partner engagement, and customer outcomes; use results to improve the GTM strategy

What We’re Looking For
  • 7+ years of experience in partner marketing, technical product marketing, developer marketing, solutions architecture, strategic alliances, or a closely related role
  • Technical fluency in AI infrastructure, model serving, inference, open-source software, cloud platforms, silicon, developer tools, or data center systems
  • Experience building joint value propositions and executing coordinated go-to-market programs with technology partners
  • Ability to understand an integration deeply enough to create credible technical content, demonstrations, positioning, and enablement
  • Strong program management and stakeholder leadership across internal teams and independent partner organizations
  • Excellent writing, presentation, and verbal communication skills for developer, partner, field, and enterprise audiences
  • High ownership, sound judgment, and comfort independently balancing technical accuracy, partner priorities, and launch timelines

Preferred Qualifications
  • Experience working across multiple ML and AI ecosystem segments, such as model-serving frameworks, silicon, cloud infrastructure, model platforms, developer tools, or AI applications
  • Hands-on familiarity with reference architectures, proofs of concept, benchmarking, workload optimization, integration testing, or OpenAI-compatible APIs
  • Experience supporting joint launches, executive events, developer programs, customer proof, and partner or sales enablement
  • A track record of turning a technical integration into measurable adoption, engagement, influenced pipeline, or customer value
  • Experience creating repeatable partner playbooks or scaling a successful joint GTM motion across a broader ecosystem segment

Why This Role Matters

AI adoption depends on an ecosystem, not a single component. This role will define where SambaNova fits across the ML and AI value chain, make each integration’s combined value easy to understand, and turn strong technical partnerships into coordinated go-to-market motions that benefit developers, customers, and partners.

Base Salary Range:

Base Pay Range
$196,000$240,000 USD

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

HQ

SambaNova Systems Palo Alto, California, USA Office

Our Palo Alto office is in a tech complex known for incubating research facilities and borders the Bay Trail along the Don Edwards Wildlife Refuge. Only a 5-minute walk, our employees often fly out of PAO for lunch with colleagues or enjoy happy hour at the nearby Palo Alto Country Club.

Similar Jobs

22 Minutes Ago
In-Office
144K-217K Annually
Senior level
144K-217K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Deploys, integrates, configures, troubleshoots, and supports airborne vision and detection systems across laboratory, production, customer, and field environments. Performs hardware and software integration, wiring and electro-mechanical work, system testing, configuration management, documentation, customer training, and field-service logistics. Coordinates with engineering, production, quality, program, and customer teams while supporting deployments and demonstrations. Requires approximately 50% travel and ability to obtain a Secret clearance.
Top Skills: CanDigital MultimetersErp SystemsEthernetIpc/Whma-A-620LinuxMaintenance-Tracking SystemsNetwork AnalyzersNetworkingOscilloscopesPower SuppliesProduct Lifecycle Management SystemsSerial InterfacesWindows
44 Minutes Ago
Hybrid
Livermore, CA, USA
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Temporary retail associate serving as a stylist and trusted product advisor. Responsibilities include greeting customers, understanding their needs, providing styling recommendations, driving sales through product knowledge and storytelling, completing POS transactions, maintaining stockroom organization, and supporting omni/virtual selling. Requires flexible scheduling, physical ability to handle merchandise, strong communication skills, teamwork, and prior retail experience.
Top Skills: Omnichannel SellingPoint-Of-Sale (Pos) SystemsSocial Media
57 Minutes Ago
Hybrid
San Francisco, CA, USA
255K-300K Annually
Entry level
255K-300K Annually
Entry level
Artificial Intelligence • Productivity • Software
Build and operate Notion’s model layer by integrating frontier models, improving inference reliability, implementing failover and observability, and developing model-level capabilities. The role requires production experience with LLM APIs, evaluation-driven development, and strong judgment around latency, cost, reliability, and output quality. The engineer will also collaborate across AI teams to unblock adoption and ensure fixes are delivered.
Top Skills: Ai Inference SystemsLarge Language ModelsLlm ApisModel EvaluationObservabilityStreamingTool Calling

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account