Jobs at Fireworks AI

Own the third-party risk management lifecycle, including vendor intake, risk tiering, security due diligence, contract reviews, monitoring, remediation, reporting, and offboarding. Review security certifications and documentation, maintain vendor inventories and risk registers, support compliance commitments, and partner with Legal, Procurement, Engineering, IT, and other teams. Improve TPRM workflows, questionnaires, risk models, and automation while communicating vendor risks clearly to technical and non-technical stakeholders.

Lead pricing and monetization strategy for an AI infrastructure platform. Develop pricing and packaging architecture, analyze competitors and cost trends, build financial and scenario models, and implement monetization across billing, quoting, contracts, and internal tools. Partner with Product, Engineering, Finance, Systems, Sales, Marketing, and other GTM teams on pricing guidance, deal frameworks, discounting, enablement, and executive recommendations.

Own the employee technology experience across Windows and macOS, including endpoint and identity management, device deployment, ITSM support, security compliance, asset lifecycle, and onboarding. Troubleshoot escalated issues, administer MDM and productivity platforms, meet support SLAs, document self-service processes, mentor junior staff, and provide onsite and remote support to a global workforce. The role requires occasional after-hours work and onsite presence for imaging, repairs, and deployments.

Serve as lead commercial counsel for customer contracts, NDAs, sales agreements, sponsorships, partnerships, vendor matters, and procurement agreements. Partner with sales and marketing teams, negotiate deals, manage legal risk, and provide practical guidance. Build scalable legal templates, playbooks, and processes for a growing AI company while supporting a fast-moving go-to-market organization.

Leads and scales Fireworks’ SDR function, hiring and coaching representatives while owning pipeline, conversion, quota, and performance metrics. Builds inbound and outbound playbooks, partners with Marketing, Sales, and RevOps, and develops AI-powered workflows for research, prioritization, personalization, and reporting. Establishes processes, dashboards, routing, forecasting, and handoff criteria to improve sales development efficiency and generate qualified opportunities.

Leads go-to-market planning across capacity, territories, quotas, incentives, and GPU demand. Partners with Finance, Sales, Customer Success, Field Engineering, Data Engineering, and GTM Engineering to model headcount, productivity, pipeline, usage economics, and revenue scenarios. Builds automated, auditable planning processes and tooling while monitoring quota attainment, capacity, and productivity to guide strategic decisions and in-year adjustments.

Own day-to-day GRC operations, including access reviews, security awareness, policy exceptions, risk assessments, third-party risk, internal audits, control monitoring, and audit evidence automation. Maintain policies, metrics, and audit readiness across SOC 2, HIPAA, ISO, NIST, GDPR, and CCPA frameworks. Partner with engineering, IT, legal, operations, and sales to operationalize controls and remediate findings, with opportunities to lead audits and mature the compliance program.

Own and grow a portfolio of GenAI startup accounts by identifying prospects, leading technical and product conversations, coordinating onboarding and integrations, shaping tailored solutions, and identifying expansion opportunities. Build trusted relationships with technical founders, ML engineers, and infrastructure leaders while translating customer feedback into product insights and representing the company across the GenAI ecosystem.

Build sales pipeline by prospecting target accounts, qualifying inbound leads, conducting personalized outreach, meeting opportunity targets, educating prospects about AI inference solutions, and transitioning qualified leads to Account Executives. Collaborate with Sales and Marketing, research prospects, communicate with technical stakeholders, and stay informed about AI and machine learning trends.

Own and expand a portfolio of GenAI-native startup accounts. Identify prospects, engage founders and technical leaders, lead technical product discussions, coordinate onboarding and integrations, and develop tailored solutions and proofs of concept. Track usage to uncover expansion opportunities, represent Fireworks in the AI ecosystem, and translate customer feedback into product and engineering improvements. The role requires credible understanding of AI infrastructure, model serving, APIs, inference, tuning, and GPU architecture.

Drive new enterprise business for Fireworks AI by developing account strategies, generating pipeline, engaging channel partners, managing full sales cycles, closing complex six-figure deals, forecasting accurately, maintaining account updates, and ensuring customer satisfaction. The role targets technical enterprise stakeholders and requires strong SaaS sales experience, negotiation skills, and the ability to consistently exceed quotas.

Own quota-carrying pipeline and revenue through the Microsoft Azure channel. Build relationships with Microsoft field teams, activate co-sell opportunities, manage forecasts and CRM hygiene, develop sales plays and enablement, lead joint business planning, coordinate co-marketing, and relay market intelligence to internal teams. The role requires strong Microsoft ecosystem knowledge and enough technical fluency in AI inference, model serving, and training infrastructure to communicate credibly with technical stakeholders.

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.

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.

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.

Own the technical privacy program by building automation for data subject requests, data inventories, ROPA, retention, deletion, consent, and control monitoring. Conduct privacy reviews, trace AI data flows, validate zero-retention and isolation claims, and advise engineering on privacy-by-design practices. The role requires SQL, scripting, cloud-environment knowledge, GDPR and CCPA/CPRA expertise, and experience with privacy operations, automation, and compliance frameworks.