Job description

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: - Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. - Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. - A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. - Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. - A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here drata.com and follow us on LinkedIn linkedin.com for company news, employee stories, and career updates. 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 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 Platform Engineers, Product and Design but you are the engineer who owns 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 - Experience with MCP (Model Context Protocol) or similar tool-use interfaces for AI agents - Exposure to RAG system design — not as an owner, but as a consumer who has debugged retrieval quality issues 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 — 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 velocity of AI product development by establishing reusable patterns, components, and interfaces that make the next AI feature faster to ship than the last - Influence the roadmap through your proximity to both the customer experience and the AI capability layer — you'll see the gaps and the opportunities before almost anyone else How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata drata.com. - Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. - Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. - Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. - Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. - Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. - Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. The expected base salary range for this role is between $157,500 - $252,000 and is listed to provide transparency. Actual base pay will vary based on multiple factors — market location, job-related knowledge, skills, experience, and overall alignment to the role. Candidates shouldn't expect automatic placement at any particular point within the range. Offer amounts are determined by the qualifications each candidate brings to the position. Total compensation may also include equity designed to provide meaningful ownership in the company, as well as health and wellbeing benefits.

Requirements

Must-haves

Why Join the Drata Team?
Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them.
A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level.
Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience.
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
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
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
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 — not as an owner, but as a consumer who has debugged retrieval quality issues from the product layer
Experience building feedback and annotation tooling that captures user signal on AI output quality
This role is the bridge between Drata's AI ambitions and the customers who will benefit from them. Your work will:

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Vision

401(K)

Parental Leave

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