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About the Role
We're looking for a Go-to-Market Engineer to build the commercial operating system for Inferact from the ground up. You'll partner closely with commercial leadership to turn fragmented information into systems that make the team faster, more focused, and more effective. This is primarily a hands-on GTM engineering role, combining technical building with a secondary RevOps remit.
Responsibilities
- Creating a clean commercial source of truth
- Helping define the sales process
- Mining Inferact's unique ecosystem and community data to identify high-value prospects and warm paths
- Building the workflows and automation that support targeted selling
- Evolving the system toward scalable prospecting, reporting, and commercial execution
- Defining rep onboarding and training
- Supporting sales compensation planning
Requirements
- Experience building or operating go-to-market systems, revenue operations, sales operations, or GTM engineering workflows in a startup or high-growth technology environment.
- Hands-on experience implementing and structuring a CRM, including account and opportunity data models, pipeline stages, required fields, routing, process hygiene, and reporting.
- Strong ability to work with data, APIs, integrations, enrichment sources, automation tools, and lightweight scripting to turn fragmented commercial information into usable workflows.
- Understanding of how an early-stage sales organization operates, including ICP definition, prospect research, pipeline management, handoffs, follow-up, and the difference between useful process and unnecessary process.
- Ability to take a blank-sheet problem, identify the highest-leverage operating system to build, and ship it without waiting for detailed requirements.
- Strong communication and collaboration skills with the ability to work directly with commercial leadership, founders, product, engineering, and external implementation partners.
- Ability to translate commercial needs into clear system and data requirements and communicate tradeoffs to both technical and non-technical stakeholders.
- Experience building 0-to-1 GTM infrastructure before a company had a mature CRM, documented ICP, or standardized sales process.
- Experience mining proprietary or community data sources to identify high-value accounts, warm paths, customer signals, or technically relevant prospects.
- Experience with AI-native or modern GTM workflows, including research automation, enrichment, account intelligence, workflow orchestration, and highly personalized outbound support.
- Experience supporting developer tools, AI infrastructure, open-source software, cloud platforms, or another highly technical B2B product.
- Comfort combining hands-on GTM engineering with RevOps judgment
- Built a CRM and commercial operating cadence from scratch for an early-stage startup.
- Created account research, enrichment, warm-intro mapping, or prospect prioritization systems that materially improved seller focus.
- Automated repetitive GTM workflows while preserving high-quality human judgment for strategic accounts.
- Worked with open-source communities or product-usage data as a source of commercial intelligence.
- Built internal GTM tools, dashboards, agents, or data pipelines that became core infrastructure for a commercial team.
Skills
- CRM implementation
- Data modeling
- Pipeline management
- Data analysis
- API integration
- Automation
- Lightweight scripting
- Communication
- Collaboration
- Technical requirement translation
- GTM infrastructure building
- Data mining
- AI-native GTM workflows
- Research automation
- Account intelligence
- Workflow orchestration
- Personalized outbound support
- Developer tools support
- AI infrastructure support
- Open-source software support
- Cloud platform support
- RevOps judgment
- Sales compensation planning support
- CRM building
- Commercial operating cadence creation
- Account research
- Enrichment
- Warm-intro mapping
- Prospect prioritization
- GTM workflow automation
- Internal GTM tool development
- Dashboard creation
- Agent development
- Data pipeline building
Location
- San Francisco, California
Work Type
- On-site
Experience Level
- Startup or high-growth technology environment experience
- 0-to-1 GTM infrastructure building experience
- Experience supporting developer tools, AI infrastructure, open-source software, cloud platforms, or another highly technical B2B product
- Experience defining rep onboarding and training or supporting sales compensation plans is a plus for the role's longer-term scope
- Built a CRM and commercial operating cadence from scratch for an early-stage startup
- Created account research, enrichment, warm-intro mapping, or prospect prioritization systems that materially improved seller focus
- Automated repetitive GTM workflows while preserving high-quality human judgment for strategic accounts
- Worked with open-source communities or product-usage data as a source of commercial intelligence
- Built internal GTM tools, dashboards, agents, or data pipelines that became core infrastructure for a commercial team
Salary/Compensations
- Compensation will be determined based on background, skills, and experience.
- Offers include equity.
Benefits
- Generous health, dental, and vision benefits
- 401(k) company match
About the Company
- Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.
- Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.