[Remote] AI GTM Engineer
Note: The job is a remote job and is open to candidates in USA. Kforce Inc is seeking a Senior AI GTM Engineer to bridge artificial intelligence with go-to-market strategies for one of their clients. This role involves identifying and resolving revenue and operational challenges using AI solutions, collaborating closely with various teams to enhance efficiency across the GTM technology stack.
Responsibilities
- Identifying revenue and operational bottlenecks and solving them with AI
- Building autonomous agents, automating end-to-end workflows, or deploying intelligent solutions across the GTM tech stack
- Working closely with Sales, Marketing, Customer Success, Enablement, and RevOps to understand where friction lives and engineer AI-powered solutions that eliminate it at scale
Skills
- 3+ years of experience in a GTM Engineering, Revenue Operations, Sales Engineering, or similar technical role, with at least 2 years focused on AI/ML solutions
- Proven track record of leading and delivering complex AI initiatives in a GTM or RevOps context
- Hands-on experience building with LLMs and AI agents (OpenAI, Anthropic, Gemini, or similar)
- Strong proficiency with Salesforce (Apex, SOQL, Flow, APIs) and experience automating CRM workflows
- Experience with Workday and/or LMS platform integrations and APIs
- Proficiency in Python and/or JavaScript/TypeScript for building automation and integrations
- Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
- Experience designing and implementing E2E testing frameworks (Selenium, Playwright, Cypress, QMetry, or AI-native equivalents)
- Strong understanding of REST APIs, webhooks, and data pipelines
- Experience with prompt engineering and fine-tuning LLMs for domain-specific tasks
- Familiarity with vector databases (Pinecone, Weaviate, Chroma) for RAG-based applications
- Knowledge of GTM tools such as Outreach, Gong, ZoomInfo, HubSpot, or Marketo
- Background in Revenue Operations, Sales, or Customer Success
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Benefits
- Medical/dental/vision insurance
- HSA
- FSA
- 401(k)
- Life, disability & ADD insurance to eligible employees
- Paid time off for salaried personnel
- Paid sick leave for hourly employees on a Service Contract Act project
Company Overview
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