Top Tech Jobs & Startup Jobs

Design and operate the go-to-market technology stack, integrating Salesforce, HubSpot, Gong, Clay, and other tools. Build automations, improve data quality, maintain CRM governance, and ensure reliable data flows and reporting. Partner with sellers and GTM leaders to optimize workflows, drive tool adoption, support onboarding, reduce manual work, and translate engagement signals into sales action. Experiment with AI-driven workflows to improve revenue productivity.

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.

Owns product marketing for Fireworks’ strategic partner ecosystem, including joint positioning, product launches, customer stories, sales enablement, partner activation, and market intelligence. The role develops go-to-market strategies with cloud, GPU, AI platform, and infrastructure partners, coordinates cross-functional launches, and drives partner-sourced pipeline, customer adoption, and revenue growth.

Develop, fine-tune, deploy, and optimize machine learning models and AI-powered applications for enterprise customers. Build and present proofs of concept, integrate new models, improve the internal ML platform, resolve bugs, and enable partner solutions. Collaborate with sales and solutions teams to deliver scalable AI deployments and successful customer outcomes.

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.

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.

Own end-to-end development of Fireworks Nexus and platform features, including intelligent AI routing, cost observability, enterprise controls, developer tools, APIs, integrations, model playgrounds, fine-tuning workflows, and billing. Build across React/TypeScript frontends and Python/Go backend services, instrument products, analyze usage, and iterate rapidly with infrastructure, research, growth, data, and design teams.

Own product design end to end for an AI infrastructure platform, translating complex model deployment, inference monitoring, and agent orchestration workflows into intuitive developer experiences. Responsibilities include user research, prototyping, high-fidelity design, iteration, design-system development, and close collaboration with engineering and product management. The role also emphasizes developer experience, AI-assisted design workflows, and cohesive onboarding through production experiences.

Develop, fine-tune, and operationalize machine learning models and AI applications for enterprise customers. Build demos and proofs of concept, integrate new models, enhance internal ML platform features, resolve bugs, optimize performance and scalability, and support partner solutions. Collaborate with sales and solutions teams to ensure successful customer deployments. The role requires strong software engineering, coding, communication, and project execution skills, with preferred experience in generative AI model fine-tuning.

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.