Top Tech Jobs & Startup Jobs

19 Days AgoSaved
Hybrid
2 Locations
170K-200K Annually
Mid level
170K-200K Annually
Mid level
Software • Generative AI
Own post-sale technical relationships with strategic enterprise customers from onboarding through production deployment and ongoing adoption. Advise on model selection, fine-tuning, prompt engineering, RAG, agent architecture, and inference optimization. Troubleshoot production issues, coordinate escalations, maintain technical playbooks, represent customer feedback internally, lead QBRs, support renewals, and identify expansion opportunities.
Top Skills: Agent ArchitecturesAPIsAWSAzureDeepseekFine-TuningGCPInference OptimizationLlamaLlmsMixtralModel Serving InfrastructurePrompt EngineeringRetrieval-Augmented Generation (Rag)Sso
19 Days AgoSaved
Hybrid
3 Locations
240K-280K Annually
Mid level
240K-280K Annually
Mid level
Software • Generative AI
Own and grow a portfolio of GenAI startup accounts by identifying prospects, leading technical conversations, coordinating onboarding and integrations, shaping tailored solutions and proofs of concept, and finding expansion opportunities through usage data. The role requires credibility with founders, engineers, and executives, plus the ability to explain AI infrastructure topics such as inference, APIs, model tuning, and GPU architecture. The Account Executive also represents Fireworks across the GenAI ecosystem and translates customer feedback into product insights.
Top Skills: APIsGpu ArchitectureLarge Language Models (Llms)Model TuningOpen-Source Inference
19 Days AgoSaved
In-Office
2 Locations
150K-300K Annually
Junior
150K-300K Annually
Junior
Software • Generative AI
Lead high-impact, cross-functional initiatives across Engineering, Product, and go-to-market teams. Responsibilities include developing strategic capabilities and GTM playbooks, managing strategic customer engagements, influencing product roadmap priorities, creating partnerships, launching models, and driving initiatives from definition through execution. The role requires technical fluency in AI, ML infrastructure, or cloud platforms, strong stakeholder communication, quantitative decision-making, and an entrepreneurial, high-accountability mindset.
Top Skills: AIAi PlatformsCloud PlatformsInference SystemsMachine Learning InfrastructureMl Infrastructure
19 Days AgoSaved
In-Office
2 Locations
260K-300K Annually
Senior level
260K-300K Annually
Senior level
Software • Generative AI
Own and scale the deal desk function by structuring complex enterprise deals, advising on pricing and discounts, managing approvals, modeling profitability, validating bookings, and coordinating Sales, Finance, Legal, Revenue Operations, Accounting, and Order Management. Build scalable processes, policies, playbooks, and workflows for consumption-based and subscription pricing while monitoring deal velocity, margins, discount performance, and booking accuracy.
Top Skills: Contract Lifecycle Management (Clm) ToolsCpqNue.IoSalesforce
19 Days AgoSaved
In-Office or Remote
3 Locations
180K-210K Annually
Senior level
180K-210K Annually
Senior level
Software • Generative AI
Lead Fireworks AI’s security operations function, including CrowdStrike deployment, detection engineering, incident response, SOAR workflows, threat intelligence, playbooks, metrics, and cross-functional incident coordination. Build and tune detections, operationalize response processes, run post-incident reviews, and improve coverage against MITRE ATT&CK. The role begins as a hands-on individual contributor and may grow into team leadership, including hiring and expanding 24/7 coverage and capabilities such as cloud detection engineering and red/purple team operations.
Top Skills: AWSAzureConsole AiCrowdstrikeCrowdstrike Falcon LogscaleCrowdstrike Ng-SiemEdrGCPIncident.IoMitre Att&CkPagerdutyPantherPythonSIEMSoarSplunkSumo Logic
19 Days AgoSaved
In-Office
2 Locations
170K-240K Annually
Senior level
170K-240K Annually
Senior level
Software • Generative AI
Develop, fine-tune, integrate, and deploy machine learning models and AI-powered applications for customers. Build demonstrations and proofs of concept, contribute platform features and bug fixes, enable new models, optimize performance and scalability, and collaborate with go-to-market teams and partners. The role requires strong software engineering, customer-facing communication, and the ability to execute complex technical projects.
Top Skills: Enterprise InfrastructureGenerative AiMachine LearningModel ServingPythonReinforcement Fine-Tuning (Rft)Reinforcement Learning From Human Feedback (Rlhf)Supervised Fine-Tuning (Sft)
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