Senior Product Engineer 2, Control Remediation

Rozgoo; United States; A distancia; USD 170.000 - 210.000; Jornada completa

Descripción de la vacante

Drata is seeking a Senior AI Product Engineer to own the full-stack development of customer-facing AI features, embedded directly within our product teams. You’ll translate LLM capabilities into intuitive experiences—streaming chat interfaces, agentic workflows, and intelligent summaries—that make compliance effortless.

You’ll partner with AI Engineers, Product, and Design to close the loop between capability and customer experience, delivering polished product surfaces at scale.

Formación

• 7+ years of software engineering experience with a track record of shipping full-stack features in production
• 2+ years of experience building AI-powered product features
• Strong proficiency in React and TypeScript with experience in streaming, real-time data handling
• Solid Python and Node.js engineering skills and API design experience
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering
• Familiarity with agent frameworks (LangGraph, LangChain) and multi-step AI workflows
• Experience with streaming patterns (SSE, WebSockets) and robust UX for AI features
• Collaborative mindset, working with AI/ML engineers, product managers, and designers
• Bonus: domain knowledge in compliance, security, or enterprise documentation

Responsabilidades

• Build AI-powered product features end-to-end from UI to backend
• Translate AI capabilities into customer-facing interactions
• Define API contracts and outputs for AI features
• Advise on user-centered design and improve product decisions
• Develop feedback loops and observability for AI outputs
• Create reusable patterns for streaming UI and AI state management
• Mentor teammates new to AI product development

Conocimientos

Full-stack development

React

TypeScript

Python

Node.js

LLM APIs

LangGraph / LangChain

Streaming UI

Product collaboration

Herramientas

React

TypeScript

Python

Node.js

LLM providers

Descripción del empleo

Why Join The Drata Team?

The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news.

Job Summary

Drata is reimagining compliance as an intelligent, always-on experience — and AI is at the center of that vision. We are seeking a Senior AI Product Engineer to own the full-stack development of customer-facing AI features, embedded directly within our product teams. This is not a platform or infrastructure role. You'll translate the capabilities of LLMs, agents, and RAG pipelines into intuitive, polished product experiences — streaming chat interfaces, agentic workflows, intelligent summaries, and guided automation that makes compliance feel effortless. You'll partner closely with AI Engineers who own the backend intelligence and Product and Design who shape the vision, but you are the engineer who closes the loop between AI capability and the customer experience.

What you’ll do

• Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend — with real-time streaming, graceful degradation, and human-in-the-loop interaction patterns
• Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into interactions that feel natural to compliance practitioners
• Partner with AI Engineers to define API contracts and output schemas; translate RAG pipelines, agentic workflows, and structured reasoning into interactions that feel natural to compliance practitioners
• Advocate for the user’s perspective in technical decisions; surface where model outputs break down in practice and iterate the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and make it actionable for the broader AI team
• Instrument AI features with product-level observability — latency, engagement, task completion, drop-off — alongside integration and end-to-end tests that validate behavior across the full stack
• Establish reusable patterns (streaming hooks, feedback components, AI state management) that accelerate future AI feature development
• Mentor engineers newer to AI product development; participate in design reviews with both engineering depth and product instinct

What you’ll bring

• Experience: 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
• Frontend: Strong proficiency in React and TypeScript; experience building responsive, interactive UIs that handle async, streaming, and real-time data gracefully
• Backend: Solid Python and Node.js and Typescript skills; experience designing and consuming APIs that integrate with LLM providers, orchestration frameworks, or AI services
• AI Fluency: Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.); practical understanding of prompt engineering, context management, RAG, Quality/Evals(Braintrust or others) and structured outputs — not just calling an endpoint, but knowing what makes a prompt reliable in production
• Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes) and how to build product surfaces on top of multi-step agentic workflows
• Streaming & Real-Time UI: Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and building UIs that handle progressive, partial, and uncertain outputs
• Product Sense: Strong intuition for user experience; you ask "does this feel right to the user" as often as "does this work technically" — and you’re right about both
• Collaboration: Track record of working closely with AI/ML engineers, product managers, and designers; comfortable operating in a cross‑functional product team where the requirements are often ambiguous and the iteration is fast
• Bonus Qualifications: Experience in compliance, security, GRC, or other document-heavy enterprise domains
• Bonus Qualifications: Experience with MCP (Model Context Protocol) or similar tool‑use interfaces for AI agents
• Bonus Qualifications: Exposure to RAG system design — not as an owner, but as a consumer who has debugged retrieval quality issues from the product layer
• Bonus Qualifications: Experience building feedback and annotation tooling that captures user signal on AI output quality

Impact

This role is the bridge between Drata's AI ambitions and the customers who will benefit from them. Your work will: Define the standard for how AI features look, feel, and behave across Drata's product — setting a bar that the entire product engineering organization will build to Make compliance practitioners more capable and confident by turning AI intelligence into product interactions they actually trust and use Accelerate the ve