Salary
💰 $90,000 - $170,000 per year
Tech Stack
GraphQLPythonSQL
About the role
- Build AI-First Workflows
- Automate multi-step processes across CRM, email, messaging platforms, and data systems
- Orchestrate LLM-powered agents for research, summarization, outreach, and follow-ups
- Implement Retrieval-Augmented Generation (RAG) pipelines to surface the right data at the right time
- Connect APIs, webhooks, and automation tools to create a unified “system of insight”
- Maintain two-way integrations between CRM and external data providers
- Ensure data is enriched, clean, and continuously updated from trusted sources
- Enable Persistent Intelligence
- Build AI memory for past interactions, key contacts, and organizational knowledge
- Configure triggers that prompt timely, relevant engagement based on live data signals
- Tune AI prompts and workflows for accuracy, speed, and user adoption
- Rapidly Prototype & Deploy
- Partner with business leaders to identify high-friction workflows
- Deliver MVP automations quickly, test impact, and scale successful pilots into production systems
- Continuously refine orchestration logic to improve accuracy, speed, and user adoption
Requirements
- Proficiency with n8n and/or Power Automate for workflow orchestration
- Familiarity with LangChain and LLM API integration (OpenAI, Claude, etc.)
- Basic to intermediate Python and SQL for data handling and transformation
- Experience with API integration (REST, GraphQL) and authentication (OAuth, API keys)
- Knowledge of vector databases (Pinecone, Chroma, Weaviate) for RAG workflows
- CRM integration experience (Salesforce preferred)
- Experience 2–5 years in workflow automation, growth ops, sales ops, data engineering, or technical product roles
- Track record of designing and deploying automations that improve business efficiency
- Bonus: Experience in multi-channel orchestration (email, Slack, LinkedIn, SMS)
- Soft Skills: Curious, resourceful, and able to quickly learn new tools and APIs
- Strong communicator who can translate business needs into technical workflows
- Comfortable working in an iterative, high-speed environment with changing priorities