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Job description
Overview
Our Mission & Values: At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build. We live our values: Built on Trust, Act with Integrity, Customer-Obsessed, Competitive Fire, Diversity, and Automation First.
Our Culture & Work Style
At Drata, we’re building a mindset where everything we do springs from a few core principles that emphasize speed, quality, and collaboration. Our culture combines high-velocity work with a thoughtful hybrid model. In the Bay Area we come together in-office Tuesday through Thursday for high‑impact collaboration days; Mondays and Fridays are flexible for focused work, balance, and autonomy. If you thrive when empowered, energized, and working with smart, mission-driven people, you’ll feel at home here.
Why Join The Drata Team?
We are an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth.
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 will translate the capabilities of LLMs, agents, and RAG pipelines into intuitive, polished product experiences, including streaming chat interfaces, agentic workflows, intelligent summaries, and guided automation that makes compliance feel effortless. You will partner with AI Engineers who own the backend intelligence and with Product and Design to shape the vision, acting as the engineer who closes the loop between AI capability and customer experience.
Responsibilities
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
Define API contracts and output schemas with AI Engineers; translate RAG pipelines and agentic workflows into user-facing interactions
Advocate for the user’s perspective in technical decisions; identify where model outputs break down and iterate the product layer accordingly
Build user-facing feedback loops that capture signal on AI output quality for the broader AI team
Instrument AI features with product-level observability — latency, engagement, task completion, drop-off — and establish tests that validate behavior across the full stack
Establish reusable patterns (streaming hooks, feedback components, AI state management) to accelerate future AI feature development
Mentor engineers newer to AI product development; participate in design reviews with engineering depth and product instinct
Qualifications
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, 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; practical understanding of prompt engineering, context management, RAG, quality/evals, and structured outputs
Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes) and building product surfaces on top of multi-step agentic workflows
Streaming & Real-Time UI: Experience implementing streaming response patterns and UIs that handle progressive, partial, and uncertain outputs
Product Sense: Strong user experience intuition; balance technical feasibility with user value
Collaboration: Track record of working with AI/ML engineers, product managers, and designers in cross-functional teams
Bonus Qualifications
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 and debugging retrieval quality from the product layer
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
Make compliance practitioners more capable and confident by turning AI intelligence into trusted product interactions
Accelerate the velocity of AI product development by establishing reusable patterns, components, and interfaces
Influence the roadmap through close proximity to customer experience and AI capability, spotting gaps and opportunities early
Compensation & Benefits
How we support you: At Drata, our people are our strongest advantage with a total rewards package to support well-being, growth, and work-life balance. Explore how we invest in your Life at Drata.
Shared Success: Stock equity to share in the company’s growth
Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision for employees and dependents
Financial Well-being: 401(k), life and disability insurance, tax-advantaged spending accounts, and discounted voluntary offerings
Family Support: Paid parental leave after six months; fertility and family-building benefits
Growth & Development: Annual stipends for professional and personal development
Time Off & Flexibility: Flexible vacation policy and paid holidays
This role will receive a competitive base salary, benefits, and stock, typically in the form of RSUs. The salary range is: $192,000 - $259,800.
A variety of factors are considered when determining leveling and compensation, including background and experience. Ranges may be modified in the future.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.