Head of Marketing Operations

About Us: 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. About This Role The Head of Marketing Operations builds the infrastructure that lets Fireworks marketing scale, and runs the operating system that keeps the team performing day to day. You own the marketing tech stack, the data model, the lifecycle, and the analytics that turn marketing into a predictable pipeline engine that the executive team can trust. You also own the planning rhythms, budget, prioritization, and program management that keep every function inside marketing shipping on time and in sync. The right person is rigorous, opinionated about tooling, and energized by the operational problems most marketers avoid. You think about marketing the way a great operator thinks about a business: cadence, accountability, resource allocation, and clear measurement. Reports to: SVP Marketing Location: Remote (US) with periodic travel to San Mateo HQ Compensation: Competitive salary + equity Location and Work Style This role is remote-friendly within the US. You will travel to our San Mateo HQ periodically for team onsites, planning sessions, and key moments that benefit from being in person. We will establish a cadence that works for the team and the role. Responsibilities Marketing Technology Stack and Architecture You own the marketing tech stack end-to-end: selection, implementation, integration, and the standards that govern how data flows between systems. This includes the marketing automation platform, CDP or warehouse-native architecture decisions, enrichment, and the integration layer with Salesforce. Success is measured by stack reliability, total cost of ownership, and the speed at which marketing can launch new programs. Marketing Operating System and Program Management You run the operating rhythm of the marketing team. This includes the annual and quarterly planning process, goal setting and tracking, weekly business reviews, and cross-functional program management across demand gen, product marketing, content, and brand. You own the marketing budget model, vendor contracts, headcount planning support, and the prioritization framework that turns a long list of ideas into a focused roadmap. You are the connective tissue that makes the rest of the marketing team faster, more aligned, and easier to scale. Success is measured by on-time program delivery, budget accuracy, and team velocity. Lifecycle, Lead Management, and Scoring You own the full lifecycle from anonymous visitor through closed-won, including lead scoring, MQL and PQL definitions, SLA enforcement, and the handoff to sales. This includes the operational rigor around routing, nurture, and re-engagement. Success is measured by SDR conversion lift and clean handoff metrics. Attribution, Reporting, and Analytics You own marketing analytics, attribution methodology, and the dashboards that the executive team and the board see. This includes pipeline attribution, channel ROI, and the quarterly marketing performance review. Success is measured by leadership confidence in the numbers and by speed of decision-making informed by them. Data Governance and Compliance You own data hygiene, privacy compliance (GDPR, CCPA, and emerging US state laws), and the governance model that keeps our database trustworthy as we scale. Success is measured by data quality scores, deliverability rates, and zero material compliance incidents. What Success Looks Like Marketing-sourced pipeline is reported with confidence and audit-ready definitions Lead scoring drives measurable lift in downstream conversion rates The full funnel from visitor to closed-won is instrumented and visible in shared dashboards Campaign launch time drops as a result of better operational playbooks Marketing and sales agree on the data, the definitions, and the single source of truth The marketing team operates on a clear quarterly cadence with shared priorities, transparent budget, and on-time delivery against the plan The SVP of Marketing and the broader exec team have real-time visibility into team capacity, program status, and spend without chasing updates What This Role Does Not Own Campaign creative and execution: Demand Gen leader Sales technology and territory design: Sales Operations Product analytics and PLG instrumentation: Product and Data teams You Should Have 8+ years in marketing operations with at least 3 years in a leadership role Experience building marketing operations from scratch or replatforming at a B2B SaaS company Proven track record at a startup or fast-scaling growth-stage company Track record running planning cadences, OKRs, and cross-functional program management for a marketing org Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma) Comfort owning data quality, GDPR/CCPA compliance, and attribution debates Experience managing budget, vendor relationships, and headcount planning alongside a marketing leader Calm under pressure with strong opinions held loosely Nice to Have Past experience at a developer-first or product-led growth company SQL fluency Experience with hybrid PQL and MQL scoring models 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. Base Pay Range (Plus Equity)

$250,000—$280,000 USD

Why Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.