Jobs at Drata

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.

Embedded finance partner to GTM leadership owning ARR forecasting, capacity and headcount planning, investment allocation, and ROI analysis. Leverage AI and automation to build scalable forecasting models and workflows, provide data-driven guidance on GTM strategy and unit economics, and align Finance, RevOps, and GTM on long-range plans, annual budgets, and quarterly reforecasts.

Lead and grow strategic partnerships with global systems integrators and audit firms to embed Drata, drive partner-sourced revenue, onboard and enable partners, measure program effectiveness, and collaborate cross-functionally with sales, BD, and executive teams.

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.

Lead and develop a team of Technical Support Engineers to manage day-to-day support operations, escalations, SLA adherence, and tooling. Partner with Engineering, Product, and Customer Success to resolve API, integration, SSO/SCIM, and cloud-related issues, improve processes and runbooks, drive metrics-informed improvements, and scale global support coverage and enablement.

Partner with the CEO to drive strategic initiatives, manage the CEO's office operations, coordinate cross-functional execution (OKRs, org design, M&A), prepare executive briefings, oversee communications and investor/board relations, and implement automation and AI tools to increase efficiency. Manage calendar, travel, and high-visibility events while acting as a trusted proxy and connector across the organization.

Drive outbound prospecting (calls, email, social) to generate qualified meetings for Account Executives. Research accounts, qualify leads, track activity in Salesforce, hit weekly/monthly metrics, and engage C‑suite contacts. Hybrid role based in Sydney with growth opportunities in a fast-paced SaaS environment.

Drive outbound prospecting (calls, email, social) to generate qualified meetings for Account Executives. Research accounts, qualify leads, manage a sales pipeline in Salesforce, respond to inbound interest, and hit weekly/monthly activity and meeting targets. Engage with C-suite prospects, use social and internet research tools, and maintain accurate CRM records while being coachable and metrics-driven.

Lead and coach a technical support team delivering SaaS support for integrations, APIs, SSO/SCIM, and cloud environments. Manage operations, escalations, SLAs, cross-functional partnerships, process improvement, hiring, and enablement to improve customer outcomes and supportability.

Provide first- and second-line technical support for Drata's SaaS platform, triage and resolve issues, work with APIs, identity providers, and cloud services, escalate complex problems, maintain tickets in Intercom/Jira/Linear, create knowledge-base content, perform bug replication/testing, and share product feedback with Engineering and Product teams.

Define and scale the product operating model to improve planning, prioritization, governance, and execution. Lead company-level roadmap operations, drive portfolio insights, implement tooling and workflows, establish experimentation frameworks, and deliver executive-ready reporting to increase alignment and product impact across cross-functional teams.

The role involves driving revenue growth, managing partnerships, and consulting with senior executives to tailor solutions, requiring 7+ years in B2B SaaS sales, primarily in the enterprise market.

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.

Support sales and channel teams to demo and prove Drata's platform value, run technical POCs/trials, align solutions to customer needs, manage RFP/RFI technical responses, gather product feedback, conduct competitive research, and help build financial business cases to advance deals and win partners.

Sell enterprise SaaS to new customers across EMEA/UK, consistently exceed quota, build and manage a pipeline, consult with senior executives, develop go-to-market strategies, identify product improvements from customer needs, and close new business for large accounts.

Senior Solutions Engineer supporting pre-sales and post-sales efforts: partner with sales on strategic deals, build and deliver demos and proofs-of-concept, respond to RFPs/RFIs, translate customer needs to product teams, model financial business cases, and drive upsell/renewal and customer satisfaction.

The role involves managing full cycle B2B SaaS sales, generating pipeline through various strategies, and delivering tailored presentations to customers while maintaining strong communication and execution discipline.

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.