Redwood City, CA
Fastest AI inference platform for open models
Fireworks AI builds a cloud platform for running, tuning, and scaling open-source generative AI models with optimized inference speed and cost. It serves developers, startups, and enterprises building production AI applications like agents, RAG, and conversational AI. The platform enables faster deployment without proprietary lock-in, powering companies like Uber and Shopify.
Own full-cycle recruiting for specialized engineering and research domains, partnering with founders and technical leaders to hire senior, hard-to-fill talent. The role requires at least five years of technical recruiting experience, strong technical fluency, and expertise with modern sourcing tools.
The role owns lifecycle marketing strategy and execution across product-led and enterprise customer journeys, using personalization, automation, experimentation, and behavioral data to drive pipeline, activation, adoption, retention, and expansion. It requires 8+ years of relevant experience in high-growth B2B SaaS.
Leads high-impact, cross-functional initiatives spanning engineering, product, and go-to-market, from strategic capability development through customer engagements, partnerships, and model launches. Requires at least one year in a high-ownership environment, technical AI or cloud fluency, and strong stakeholder and execution skills.
Build and own full-stack AI platform products spanning intelligent routing, developer integrations, observability, enterprise controls, APIs, and model workflows. The role requires 3+ years of software engineering experience, strong React/TypeScript and backend skills, and a product-minded approach to developer experience.
Build, coach, and scale a high-performing SDR team at Fireworks AI. Own outbound/inbound pipeline generation, develop prospecting playbooks, partner with Sales/Marketing/RevOps, and drive revenue growth in AI infrastructure. Requires 3+ years in sales development with management experience, strong coaching and analytical skills.
Design and optimize distributed infrastructure and training pipelines for large-scale language and multimodal models. The role requires 3+ years of distributed systems or ML infrastructure experience, PyTorch, cloud platforms, container orchestration, and distributed training expertise.
Own end-to-end sales compensation for a scaling GTM org at an AI infrastructure company: design consumption/hybrid usage plans, run payouts and dispute resolution, extend in-house systems and data pipelines, and build AI-native automation. Requires 7+ years deep commissions experience in usage-based models, SQL/systems building skills, and hands-on AI tool usage.
Lead GTM enablement at Fireworks AI by building and delivering onboarding programs like Firecademy, creating training content for sales and technical teams, codifying best practices, and designing AI agents to boost seller productivity. Requires 10+ years experience including enablement program creation from scratch and hands-on AI agent building.
Serve as the primary technical point of contact for strategic enterprise accounts using Fireworks AI's LLM inference platform. Own post-sale deployment, adoption, troubleshooting, and expansion while advising on model optimization, prompt engineering, and production best practices.
Early-career product manager acts as technical advisor to customers on GenAI strategies, partners with eng/design/data teams to build platform features like API tooling and inference infra, and drives customer engagement and GTM evangelism. Requires recent Bachelor's/Master's in CS/Engineering, AI curiosity, and strong communication.
Lead GTM Engineering at Fireworks AI: architect Salesforce and quoting systems, build agentic AI workflows for sales teams, and scale the GTM engineering team from 2 engineers. Requires 10+ years in GTM/RevOps, deep Salesforce expertise, and 5+ years managing teams.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Business Development Representative responsible for prospecting high-value accounts, qualifying inbound leads, and building pipeline for Account Executives at a leading generative AI inference company. Requires strong interest in AI/ML, excellent communication skills, and ability to engage technical stakeholders in a fast-paced startup.
Senior GRC Specialist responsible for day-to-day governance, risk, and compliance operations including risk assessments, third-party risk management, internal audits, control monitoring, and policy maintenance at an AI infrastructure company. Requires 5-7 years GRC/IT audit experience, knowledge of security frameworks, and GRC platform proficiency.
Build and lead the BDR/SDR function from scratch at an AI infrastructure company. Hire, ramp, and coach a team while designing an AI-native outbound/inbound prospecting motion, qualification model, and AE handoff to scale enterprise pipeline.
Manage social media and community channels for an AI infrastructure startup. Track trends, create shareable content, grow developer communities, and use data to drive engagement and narrative strategy.
Own Microsoft Azure channel pipeline and co-sell motion. Build relationships with Microsoft field teams, develop sales plays, and drive joint business planning for an AI inference platform.
Lead strategic partnerships with Tier-1 systems integrators, originating framework deals, building joint AI practices, and enabling partners through technical certification and co-delivery models.
Hands-on AI Field Engineer embedding with enterprise customers to build and deploy production GenAI systems, run fine-tuning pipelines, and manage technical relationships from POC through scale.
Design and maintain large-scale backend infrastructure for distributed ML training, inference, and data pipelines at a generative AI startup. Requires 4+ years building scalable cloud systems with Python/Go/C++ and distributed data technologies.
Serve as the technical lead for Fireworks' strategic AI partnerships (e.g. Microsoft Azure), building reference architectures, joint POCs, fine-tuning pipelines, and inference deployments while translating partner feedback into product improvements. Requires 3+ years partner engineering experience, strong Python, LLM inference/fine-tuning expertise, and deep Azure knowledge.
Lead Sales Strategy and Revenue Analytics for a high-growth AI infrastructure company. Own GTM operating model, territory design, consumption-based forecasting, and executive operating cadence to drive repeatable sales motions and data-backed decisions.
Own paid acquisition strategy and multi-million dollar budget execution across search, social, display, and developer channels for a fast-growing AI infrastructure startup.
AI Field Engineers embed with innovative AI-native customers and partners to build POCs, MVPs, production inference deployments, fine-tuning pipelines, and evaluation frameworks. They combine hands-on engineering (Python, Kubernetes, LLM serving) with stakeholder management and on-site customer collaboration to drive GenAI products from prototype to scale while feeding insights back to the Fireworks roadmap.
Drive new enterprise business for Fireworks AI by managing full sales cycles, generating pipeline, and closing six-figure deals with technical stakeholders at large accounts.
Drive adoption of Fireworks AI platform at strategic AI-native companies by leading technical discovery, building solutions with ML teams, managing POCs to production, and closing complex deals as a trusted technical advisor. Requires 7+ years in strategic sales/PM/VC/consulting with strong AI/ML fluency.
Build and lead full-stack development of Fireworks.ai, the developer platform for specialized AI models. Own end-to-end web app, APIs, and developer experience while mentoring engineers and driving product-led growth in a fast-paced AI startup.
Lead marketing operations at a fast-growing AI infrastructure startup, owning the full marketing tech stack, program management, lead lifecycle, attribution, and data governance.
Own end-to-end field and event marketing programs for a Series C AI infrastructure startup, creating founder-focused experiences and driving pipeline for the AMER sales team.
Owns East Coast field marketing strategy and execution for a Series C AI infrastructure company, building events and ABM programs that drive pipeline and brand. Requires 7+ years B2B field/event marketing experience and Salesforce proficiency.
Owns portfolio of GenAI startup accounts, drives adoption, prospects new leads, leads technical discussions with founders and engineers, coordinates onboarding and integrations. Requires 3+ years sales experience with technical buyers and ability to explain AI topics like inference and model tuning.
Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.
Owns full-cycle recruiting for Go-To-Market teams including Sales, Marketing, and Partnerships. Partners with leaders to build talent pipelines using AI-powered tools in a high-growth AI startup. Requires 5+ years recruiting GTM roles.
Develops evaluation workflows and fine-tuning products for LLM model improvement, working across full-stack from APIs to web interfaces. Requires 1-7 years software engineering with hands-on LLM evals/post-training experience and user-centric product skills.
Build and own scalable backend services for Fireworks AI platform, including web app, model orchestration, billing, accounts, and APIs. Requires 5+ years experience solving real problems and 2+ years with AI.
Optimizes performance of high-scale systems by analyzing latency, throughput, and resource usage. Requires expertise in profiling, systems programming, and distributed scaling techniques.
Leads customer-facing product deployments, bridging customer needs with engineering teams to customize and implement solutions. Requires 4+ years in product management or technical roles with strong technical aptitude.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Builds and maintains scalable cloud infrastructure, focusing on reliability and performance. Requires expertise in cloud platforms, IaC tools like Terraform and Kubernetes, and systems programming.
Security Engineer designing and building security controls, tooling, and automation for AI infrastructure, multi-cloud platforms, Kubernetes, and LLM serving at Fireworks AI. Requires 3-7 years experience in security or infrastructure engineering, proficiency in Python/Go, and deep cloud-native and Kubernetes knowledge.
Build and maintain scalable backend infrastructure for Fireworks AI's generative AI platform, including LLM CI/CD pipelines, control planes, and model serving systems. Requires 5+ years software engineering experience focused on ML/infrastructure, strong Python/Go skills, and familiarity with PyTorch, Kubernetes, and LLM concepts.