Fireworks AI
Head of Systems Integrators
Remote, USA; San Mateo, CA
Sponsorship not specified$330k-$380kDetected 32 days ago
Machine LearningPyTorchLLMsLeadership
About the role
- SIs are Fireworks' highest-leverage GTM channel and this function does not exist yet.
- Source and close first-of-a-kind commercial agreements with Tier-1 SIs - framework deals, global MoUs, joint offering structures - where no playbook exists
- Navigate matrixed GSI org structures to secure internal mandates for dedicated practices or CoEs, aligning competing service lines on governance and delivery standards
Responsibilities
- Run the direct interface desk - standing technical bridge between partner delivery teams and Fireworks engineers for in-flight engagements
- Develop case studies with specific, attributable outcomes - latency, cost reduction, model quality - with named clients where possible
- Build at practice lead and delivery principal level across all active SI partners, not just alliance managers
- Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
- Identify and recruit Tier-1 SI partners with credible AI practices, client access in target verticals, and appetite to build a Fireworks capability
- Design and own FDE certification: inference, fine-tuning pipelines, production deployment - with a track covering SFT, RLHF, and model adaptation
- Build the operating model: how projects flow to partners, support tiers, escalation to the Fireworks technical bench, and commercial attribution
- Own model update continuity: when Fireworks ships, re-certify partners before delivery is disrupted
- Define the multi-practice value proposition; align SI executive and line-of-business leadership on why Fireworks and how joint delivery creates margin for both sides
- Define co-delivery swimlanes and market ownership to prevent channel conflict and protect delivery quality as the partner ecosystem scales
Requirements
- What matters is that you are a practitioner - close enough to how SIs work to know where the leverage is and where the friction lives.
- What is required: you have closed non-standard strategic agreements before, and you build things that do not exist yet.
- 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
- 8-10 years across top-tier consulting, enterprise technology or AI/ML vendor roles, or senior SI alliance leadership - with direct exposure to how GSIs structure, sell, and deliver
- 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
- Hands-on post-training experience: SFT, RL, or RLHF in delivery or program management
- Existing relationships at practice lead or delivery principal level within major consulting or SI AI practices
- Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
- On Target Earnings (Plus Equity)
Nice to have
- Time inside the AI practice of a leading GSI or MBB firm
Compensation
- Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package.
Benefits
- Build conviction at every level - make the commercial and technical case from alliance desk to equity partner
- Operates at C-suite and equity partner level; measures success by pipeline originated and practice maturity, not activity
Company info
- At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
- The Role:
- SIs are Fireworks' highest-leverage GTM channel and this function does not exist yet. The person in this role originates and structures the deals, builds the partners, makes them technically capable, and embeds Fireworks into how they sell. The weight is upstream: strategy and origination, not day-to-day partner management.
- What You Will Own:
- At Fireworks, we're building the future of generative AI infrastructure.
- Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry.
- We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models.
- Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic.
- We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
- The person in this role originates and structures the deals, builds the partners, makes them technically capable, and embeds Fireworks into how they sell.
- The weight is upstream: strategy and origination, not day-to-day partner management.
- Originate and Structure
- Recruit and Develop
- Guide partners through standing up a Fireworks service offering: capability definition, staffing model, pricing, and GTM positioning
- Place Fireworks in SI practice playbooks and internal solution frameworks - the default inference layer when their AI practices architect for clients
- Produce joint innovation content with named Fireworks placement: reference architectures, solution briefs, and thought leadership under partner credentials
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This listing is sourced directly from Fireworks AI's careers page and normalized into a canonical job model.