Drata

Senior Product Engineer 2, Control Remediation

Hybrid - San Francisco, Remote. Posted 5 months ago

The role

You will own the full-stack development of customer-facing AI features. You will translate LLM, agent, and RAG pipeline capabilities into product experiences like streaming chat interfaces and agentic workflows.

What you will do

  • Build AI-powered product features end-to-end using React/TypeScript UI and Node.js/Python backend
  • Translate AI capabilities into interactions for compliance practitioners
  • Partner with AI Engineers to define API contracts and output schemas
  • Advocate for the user's perspective in technical decisions
  • Build user-facing feedback loops to capture signal on AI output quality
  • Instrument AI features with product-level observability
  • Establish reusable patterns like streaming hooks and AI state management
  • Mentor engineers newer to AI product development

Required qualifications

  • 7+ years of software engineering experience with a proven track record of shipping full-stack features in production
  • 2+ years working on AI-powered product features
  • Strong proficiency in React and TypeScript
  • Experience building responsive, interactive UIs that handle async, streaming, and real-time data
  • Solid Python, Node.js and Typescript skills
  • Experience designing and consuming APIs that integrate with LLM providers, orchestration frameworks, or AI services
  • Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.)
  • Practical understanding of prompt engineering, context management, RAG, Quality/Evals and structured outputs
  • Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes)
  • Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP)
  • Strong intuition for user experience
  • Track record of working closely with AI/ML engineers, product managers, and designers

Nice to have

  • Experience in compliance, security, GRC, or other document-heavy enterprise domains
  • Experience with MCP (Model Context Protocol) or similar tool-use interfaces for AI agents
  • Exposure to RAG system design as a consumer who has debugged retrieval quality issues
  • Experience building feedback and annotation tooling

Benefits

  • Stock equity
  • Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and dependents
  • Wellness benefits and healthcare concierge services
  • 401(k) plan
  • Company-paid life and disability insurance
  • Tax-advantaged spending accounts
  • Paid Parental Leave policy after six months of employment
  • Kindbody fertility and family-building benefits
  • Annual stipends for professional and personal development
  • Internal learning opportunities
  • Flexible vacation policy
  • Paid holidays

About the company

Drata is building the trust layer between great companies by automating compliance, managing risk, and helping organizations prove trust continuously. They are a global crew of 600+ professionals.