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Drata

Automates security compliance and risk management.

Senior Product Engineer - Control Monitoring

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • At least 7 years of software engineering experience and a proven track record of shipping full-stack features in production.
  • At least 2 years of experience working on AI-powered product features.
  • Strong proficiency in React and TypeScript, including building responsive, interactive user interfaces that handle asynchronous, streaming, and real-time data.
  • Solid Python, Node.js, and TypeScript skills, and experience designing and consuming APIs that integrate with large language model providers, orchestration frameworks, or AI services.
  • Hands-on experience building with large language model APIs, with practical understanding of prompt engineering, context management, retrieval-augmented generation, quality evaluation, and structured outputs.
  • Familiarity with agent frameworks such as LangGraph, LangChain, or custom runtimes, and building product surfaces on multi-step agentic workflows.
  • Experience implementing streaming response patterns such as server-sent events, WebSockets, or chunked HTTP, and building interfaces that handle progressive, partial, and uncertain outputs.
  • Strong user-experience intuition and ability to assess whether product interactions feel right to users as well as work technically.
  • Track record of working closely with AI and machine-learning engineers, product managers, and designers in a cross-functional product team with ambiguous requirements and fast iteration.

Responsibilities

  • Build AI-powered product features end-to-end, from React and TypeScript user interfaces through Node.js and Python backends, including real-time streaming, graceful degradation, and human-in-the-loop interaction patterns.
  • Translate AI capabilities such as retrieval-augmented generation pipelines, agentic workflows, and structured reasoning into natural interactions for compliance practitioners.
  • Partner with AI Engineers to define API contracts and output schemas, and translate AI capabilities into natural product interactions for compliance practitioners.
  • Advocate for the user's perspective in technical decisions, identify where model outputs break down in practice, and iterate on the product layer accordingly.
  • Build user-facing feedback loops that capture signals about AI output quality and make them actionable for the broader AI team.
  • Instrument AI features with product-level observability, including latency, engagement, task completion, and drop-off, and implement integration and end-to-end tests that validate behavior across the full stack.
  • Establish reusable patterns, including streaming hooks, feedback components, and AI state management, to accelerate future AI feature development.
  • Mentor engineers newer to AI product development and participate in design reviews with engineering depth and product judgment.
  • Define standards for how AI features look, feel, and behave across the product, setting a bar for the product engineering organization.
  • Turn AI capabilities into product interactions that help compliance practitioners work confidently and effectively.
  • Accelerate AI product development by establishing reusable patterns, components, and interfaces.
  • Influence the product roadmap through proximity to the customer experience and AI capability layer.

Desired Qualifications

  • Experience in compliance, security, governance, risk, and compliance (GRC), or other document-heavy enterprise domains.
  • Experience with Model Context Protocol (MCP) or similar tool-use interfaces for AI agents.
  • Exposure to retrieval-augmented generation system design, including debugging retrieval-quality issues from the product layer as a consumer rather than an owner.
  • Experience building feedback and annotation tooling that captures user signals about AI output quality.

About the Company

Drata

Automates security compliance and risk management.

Drata provides a trust management platform that automates security compliance and risk management so teams can demonstrate their security posture to customers. It works by connecting to a company’s cloud, identity, HR, and developer tools to collect evidence and continuously monitor controls, enabling audits across many frameworks (e.g., SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR) or custom ones. Compared with competitors, it combines continuous monitoring, broad framework coverage, deep integrations, and a dedicated trust center, plus AI-assisted content generation and governance features, offering an end-to-end compliance solution. The goal is to help organizations stay audit-ready, reduce the time and effort of compliance, and clearly show their security posture to customers and partners.

Company size
501-1,000
Company stage
Series C
Total funding
$328.2M
Headquarters
San Francisco, CA
Founded
2020

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