Head of Systems Integrators

🔥 6 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $330k - $380k / year

⏰ Full Time

🔴 Lead

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Fireworks AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

🔥 Funding within the last year

💰 $230M Series C - Fireworks AI on 2025-10

Artificial Intelligence • SaaS • Enterprise

Fireworks AI is a cloud platform for running, tuning, and scaling open-source generative AI models. It provides a serverless inference cloud and model lifecycle management for developers and enterprises, enabling fast, cost-optimized inference, fine-tuning (including RL and quantization-aware techniques), and global auto-scaling without managing infrastructure. Fireworks supports multimodal workloads, enterprise RAG, agents, code copilots, and developer tooling (API/CLI/SDK), and emphasizes enterprise-grade security, compliance (SOC2, HIPAA, GDPR), and performance optimizations for production AI deployments.

📋 Description

• Originate and close first-of-a-kind commercial agreements with Tier-1 SIs • Define the multi-practice value proposition; align SI leadership on why Fireworks and how joint delivery creates margin • Navigate matrixed GSI org structures to secure internal mandates for dedicated practices or CoEs • Identify and recruit Tier-1 SI partners with credible AI practices • Guide partners through standing up a Fireworks service offering • Design and own FDE certification • Run the direct interface desk between partner teams and Fireworks engineers • Embed Fireworks in SI practice playbooks and internal frameworks

🎯 Requirements

• 8-10 years across top-tier consulting, enterprise technology or AI/ML vendor roles, or senior SI alliance leadership • Track record closing non-standard strategic agreements: MoUs, framework deals, joint offering structures with major GSIs or consulting firms • Working knowledge of how GSIs operate - practice formation, CoE funding, delivery authority, internal service line competition - from the inside or from working alongside them closely • ML stack fluency sufficient to design and assess technical enablement: fine-tuning, inference, deployment pipelines • Demonstrated 0-to-1 program or function builds; not inherited playbooks • Operates at C-suite and equity partner level; measures success by pipeline originated and practice maturity, not activity.

🏖️ Benefits

• meaningful equity in a fast-growing startup • competitive salary • comprehensive benefits package