Jobs at Drata

The Senior AI Product Engineer will develop and optimize AI product features, ensuring a seamless user experience through collaboration with engineering teams. Responsibilities include building full-stack features, implementing user feedback mechanisms, and monitoring product performance.

The Senior Platform AI Engineer will develop production infrastructure for AI features, focusing on server architecture, agent orchestration, and AI model lifecycle management. The role requires building efficient systems and collaborating with various engineering teams to optimize workflow and enhance deployment processes.

As a Senior IT Engineer, you'll manage security infrastructure, automate workflows, integrate SaaS tools, improve security posture, and mentor junior staff. You'll leverage automation to enhance internal operations and maintain compliance.

The Senior Applied Research Engineer will focus on improving AI systems through experimentation and research, collaborating with engineering teams to implement findings into production systems.

As Principal Product Manager, AI, you will define and execute the AI strategy at Drata, leading the development of AI-native experiences, collaborating with cross-functional teams, and driving the AI product vision while mentoring other product managers.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead architecture and development of scalable web applications and APIs, integrate LLM/AI features, design streaming and real-time AI experiences, maintain ingestion/analytics infrastructure, collaborate across product and engineering, and deliver production-ready, testable code.

The Senior Software Engineer II leads platform development, ensures scalable applications, manages APIs, and collaborates on architecture and design, contributing to the agile development cycle.

As a Senior Data Engineer, you will automate processes, optimize data handling, build data products, and govern data while mentoring junior engineers.

The Software Engineer will architect billing systems and work on financial operations for product usage and subscriptions while ensuring operational reliability.

The Head of Pricing will design and implement innovative pricing strategies for AI-native software, lead the shift from traditional subscriptions to dynamic monetization, and collaborate across teams to enhance product pricing frameworks.

The Senior AI Product Engineer will develop AI features integrated into products, focusing on user experience, full-stack development, and collaboration with AI engineers, product managers, and design teams.

The Head of Product, Assurance at Drata leads product strategy, execution, and team development for key product lines, influencing customer outcomes and business performance while managing cross-functional partnerships.

The Senior Platform Engineer will lead platform development, architect systems, create automation tools, collaborate on strategic solutions, and enhance application security and performance.

The Staff Platform Engineer will enhance internal development tools and workflows, focusing on developer efficiency, CI/CD automation, monitoring, and mentoring team members while architecting scalable applications.

The Applied AI Engineer will conduct research to enhance AI systems, optimize retrieval strategies, prototype workflows, and collaborate with AI Engineers to ensure effective performance in compliance automation.

The Staff Software Engineer leads technical initiatives, designs scalable systems, mentors teams, and collaborates on product roadmaps to enhance reliability and security.

The Applied Research Engineer will enhance AI systems through research and experimentation, focusing on information retrieval and reasoning strategies, collaborating with engineering teams to transition validated methods into production.

Lead a small AI engineering team as a player‑coach: write production code, set technical direction for AI-driven analytics, build natural language data experiences, and establish eval-driven development. Own end-to-end delivery, data modeling, multi-tenant access patterns, and measurement pipelines while hiring, mentoring, and partnering with product to ship iterative, trustworthy AI features.

Technical leader responsible for architecting and evolving Drata's billing and monetization platform: usage ingestion, billable metrics, pricing, entitlements, invoicing, and integrations with Finance/CRM/ERP. Design event-driven, auditable, and scalable systems, ensure operational correctness and reconciliation, lead cross-team initiatives, review architecture, troubleshoot discrepancies, and mentor engineers on financial correctness and distributed systems.