GTM Engineer, Fireworks AI
$180-210k
Offers Equity
More information about location
3 days a week in office (San Mateo, CA)
Generative AI platform enabling rapid scaling for developers and businesses
Open for applications
Generative AI platform enabling rapid scaling for developers and businesses
101-200 employees
Open for applications
$180-210k
Offers Equity
More information about location
3 days a week in office (San Mateo, CA)
101-200 employees
Company mission
To help every organization unleash the full power of artificial intelligence.
Role
Who you are
- 5+ years in Revenue Operations, Sales Operations, or Marketing Operations at a B2B SaaS company
- Strong experience working in Salesforce as an administrator or advanced user
- Hands-on experience with modern GTM tools such as Salesforce, HubSpot, Gong, Clay, LeadGenius, LeadIQ, or Zapier
- Experience designing workflows and automation that improve sales productivity
- Comfortable working directly with sellers and translating operational needs into system improvements
- Strong systems mindset — understanding how data, integrations, and workflows connect
- Curious about new GTM tools and excited to experiment with AI-driven workflows
What the job involves
- We're hiring a GTM Engineer to help design, operate, and continuously improve the systems powering our revenue engine
- This role sits at the intersection of GTM systems architecture and field execution — ensuring our tools, automations, and data flows are not only well designed, but actively driving productivity for our sales and marketing teams
- You will work closely with sellers, marketers, and GTM leadership to ensure our systems surface the right signals, eliminate manual work, and help the team move faster
- Everything about the customer engagement workflow is changing - and the pace of change is faster than ever. You’re someone who wants to invent the sales platform of the future
- Our goal is to have a simple and powerful agentic customer engagement experience that enables our sellers, solutions architects and team to win more business. You’re someone who wants to see world class AI applied to our go to market execution
- You architect and operate the GTM tech stack — ensuring tools like Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier work together seamlessly
- You build the one stop shop UI that harnesses the power of these tools and makes it easy for sales teams to use
- You’ll design integrations, build automation, and ensure data flows cleanly across systems. Just as importantly, you'll partner directly with sellers to ensure the stack is actually helping them sell — improving workflows, removing friction, and ensuring signals translate into action
- When reps struggle with tooling, workflows break, or valuable signals are missed, you step in to refine the system and make it better
- GTM Systems & Integrations:
- Design and maintain the architecture of the GTM tech stack, ensuring tools across sales, marketing, and growth operate as a cohesive system
- Build and maintain integrations across Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier
- Design automation workflows that eliminate manual work, improve data quality, and accelerate pipeline velocity
- Ensure enrichment data, engagement signals, and activity history flow across systems
- Seller Workflows & Tool Adoption:
- Partner closely with sellers and GTM leadership to ensure systems support real day-to-day selling workflows
- Identify friction in the sales process and translate it into improved automation, tooling, or process design
- Ensure reps are effectively using the GTM stack — from CRM hygiene to signal-driven workflows
- Support onboarding and training for new sellers on how to leverage our tools and automation
- Data Integrity & Revenue Insights:
- Help maintain Salesforce as a clean, reliable system of record
- Support the CRM data model, automation, and field governance to ensure consistent data capture
- Ensure GTM systems produce trustworthy data that can power reporting and decision making
- Build and maintain reporting that provides visibility into pipeline health, funnel performance, and campaign impact
Application process
- To keep your interview experience seamless and distraction-free, we use an AI Notetaker to record and transcribe our interviews
- This helps interviewers focus fully on the conversation and ensures your responses are captured accurately. The recording will only be used internally for evaluation. If you would prefer not to be recorded, you can opt out
Our take
Whilst the development of generative AI is thought to be the reserve of large companies like Open AI, smaller startups such as Firework AI are making this technology easier to access and develop for smaller companies wanting to handle specific business needs using AI. As an open-source model API, it has one of the largest user bases - with over 12,000 users leveraging Fireworks AI’s software.
Though lacking the brand name recognition of generative AI developers like Google and Meta, Fireworks AI differentiates itself in a market crowded with large competitors through its unique approach to deploying its software. It creates smaller, production-grade, customizable generative AI models that can be launched privately and securely, rather than the non-private and inflexible models built by larger companies.
After its 2025 Series C round of $250M, Fireworks AI has been valued at over $4B, an impressive sum for a David in a sea of Goliaths. The company plans to use its funding to reshape AI infrastructure as well as expand globally. It will be interesting to see how the company evolves with its potentially disruptive business approach to generative AI.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2025
$230m
SERIES C
Jul 2024
$52m
SERIES B
Total funding: $307m
Company HQ
Redwood City, CA
Leadership
Lin Qiao
(Co-Founder & CEO)Previously a Senior Director of Engineering at Meta, a Tech Lead at Linkedin, a Research Staff Member at IBM Almaden Research Center and an Advisory Software Engineer at IBM Silicon Valley Lab.
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