GTM Engineer
Fireworks AI
GTM Engineer
Fireworks AI
AI inference platform for model deployment
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We’re hiring a GTM Engineer to design, operate, and continuously improve the systems powering our marketing and SDR motion. This role sits at the intersection of marketing systems architecture and field execution — ensuring HubSpot, campaign tooling, and SDR workflows are not only well designed, but actively driving pipeline for our marketing and sales teams.
You’ll work closely with marketers, SDRs, and GTM leadership to ensure our systems surface the right signals, automate the manual work, and help the funnel move faster — all in close partnership with the GTM Engineers on our RevOps side, so the stack stays one system instead of two silos.
Everything about how marketing and SDR teams engage prospects is changing — and the pace of change is faster than ever. You’re an engineer first: someone who’d rather build the automation than repeat the manual task twice. You also happen to be genuinely energized by marketing — campaigns, messaging, funnel mechanics, and how a lead actually becomes pipeline.
You architect and operate the marketing side of our GTM tech stack — ensuring tools like HubSpot, Lemlist, Clay, Harmonic, and Zapier work together seamlessly, and that data flows cleanly between them and Salesforce. You’ll design integrations, build messaging and lifecycle automations, and partner directly with marketers and SDRs to ensure the stack is actually helping them convert — improving workflows, removing friction, and making sure signals translate into action.
When SDRs struggle with tooling, campaigns break, or lifecycle stages misfire, you step in to refine the system and make it better.
Marketing Systems & Automation
Design and maintain the architecture of our marketing tech stack, ensuring HubSpot and adjacent tools operate as a cohesive system with Salesforce
Build and maintain integrations across HubSpot, Lemlist, Clay, Harmonic, and Zapier
Design lifecycle, nurture, and messaging automations that eliminate manual work and improve conversion at each funnel stage
Ensure enrichment data, engagement signals, and activity history flow cleanly between marketing and sales systems
SDR & Campaign Operations
Partner closely with SDRs and marketing leadership to ensure systems support real day-to-day outbound and campaign workflows
Design and maintain MQL → SDR → AE routing and handoff logic
Build and operate campaign infrastructure for demand gen programs (webinars, events, ABM plays) end to end
Support onboarding and training for SDRs on the tools and automations they run through daily
Data Integrity & Marketing Insights
Help maintain HubSpot as a clean, reliable system of record, in step with Salesforce as the source of truth downstream
Support the marketing data model, automation, and field governance to ensure consistent data capture
Build and maintain reporting that provides visibility into funnel performance, campaign impact, and MQL quality — reconciled jointly with the RevOps GTM Engineering team so numbers match across systems
3–5 years in Marketing Operations, Engineering, or GTM Ops with real ownership of automation (not just tool usage)
Strong, hands-on HubSpot experience — admin or architect level
Experience managing a github repo
Working fluency in Salesforce — enough to understand lead/contact/campaign objects and MQL routing logic
Experience designing SDR operational workflows: sequencing, routing, handoff logic
Comfortable with scripting, webhooks, or APIs to connect systems and build automation
Strong systems mindset — understanding how data, integrations, and workflows connect
Curious about new marketing/GTM tools and excited to experiment with AI-driven workflows
Bonus: SQL literacy for campaign/funnel reporting; experience with messaging or personalization tooling
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.
AI inference platform for model deployment
Fireworks AI provides an AI inference platform that helps organizations run, customize, and deploy machine learning models. It supports deployment, fine-tuning, and inference workflows, with access to open-source models and on-demand deployment options through a subscription model. The platform enables users to configure and optimize models for production environments, manage variants, and scale AI workloads while controlling costs. Unlike some competitors, the emphasis is on end-to-end production-grade inference and fine-tuning across a range of clients, from tech firms to research institutions and enterprises, with tools tailored for rapid deployment and cost efficiency. The long-term goal is to expand the use of AI in production by building compound AI systems, growing the team, and delivering broader platform capabilities that accelerate AI adoption in real-world settings.
Explore more opportunities at Fireworks AI