Key skills
ApolloPythonAILLMOpenAIClaudeLangChainAgenticSalesforceCRM
About this role
Role Overview
- Architect and build multi-step AI agents using LLM frameworks (LangChain, CrewAI, or custom) integrated with GTM data sources using Claude and Openclaw
- Design agent workflows for prospect research, outbound personalization, lead scoring, pipeline enrichment, and content generation
- Connect agents to CRM, marketing automation, and data enrichment APIs (Salesforce, HubSpot, Apollo, Clay, ZoomInfo, etc.)
- Evaluate, select, and integrate AI models and tools appropriate for each agent task
- Own the technical layer of Firework’s GTM stack—ensuring tools, data, and agents are connected and running reliably
- Build and maintain automated workflows that reduce manual work for SDRs, AEs, and marketers by 50%+
- Instrument agents with logging, monitoring, and alerting to catch failures and measure output quality
- Define and track agent performance metrics: leads enriched, sequences generated, response rates, pipeline influenced
- Build dashboards that surface agent ROI and provide visibility into GTM automation coverage
- Work with RevOps to ensure clean data flows between tools and agents don’t amplify data quality issues
Requirements
- 3+ years of experience in software engineering, with at least 1 year building LLM-based applications or AI agents
- Hands-on experience with LangChain, CrewAI, or similar agentic frameworks
- Strong Python skills and comfort working with REST APIs and data pipelines
- Experience integrating with GTM tools such as Salesforce, HubSpot, Apollo, Clay, or ZoomInfo
- A strong understanding of GTM processes—how SDRs, AEs, and marketers operate and where AI can accelerate their work
- Experience building observability and monitoring into automated systems
- Bonus: experience with Claude, OpenAI, or other LLM APIs in production environments.
Tech Stack
- Apollo
- Python
Benefits
- Equal employment opportunity employer
- Inclusive environment for all.