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Director of Engineering, PrivacyOps Platform

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Veeam
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Software Architect
Salary/Wage Range or Industry Benchmark: 366300 USD Yearly USD 366300.00 YEAR
Job Description & How to Apply Below

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI  the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running.

Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Veeam is seeking a highly technical, hands‑on Director of Engineering - Privacy Ops to lead the development of our core privacy-related product suite. This leader will manage multiple cross-functional modules responsible for the end-to-end delivery of products that define the Privacy Ops category.

You will provide overarching leadership for the Securiti Product Suite. You will define the technical vision, ensure architectural consistency across all modules, and drive operational excellence for a portfolio that ncludes Cookie Consent, Assessments, DSR Fulfillment, Breach Management, and Privacy Notices. In this role, you will work in close partnership with established, senior engineering leads who manage specific products within the suite.

Your focus will be on ross-team strategy, unified architectural standards, and tight collaboration with Product Management to ensure a cohesive platform experience.

What You’ll Do
  • Hands‑on Technical Direction:
    Actively participate in architectural reviews and code sessions, ensuring that our systems of engagement, automation, and record are scalable and reliable
  • Engineering

    Innovation:
    • Build an AI‑first engineering practice, leveraging tools like Cursor, Copilot, and custom agents to standardize code quality, improve security, and accelerate development cycles
    • Own the architecture and roadmap for a scalable, high‑performance integration and connector framework that powers our privacy product suite across diverse SaaS, IaaS, and AI platforms
  • Product Support:
    • Represent engineering in key customer interactions
    • Improve support to the customer engagement functions
  • Product Delivery:
    Work closely with our distributed Privacy Ops leadership in driving the roadmap for critical Privacy Ops modules, including:
    • DSR Automation:
      Implementing robotic automation to fulfill data subject requests quickly and reliably.
    • Consent Lifecycle Management:
      Managing complex cookie consent, mobile consent and user preferences across various jurisdictions.
    • Assessment Automation:
      Streamlining internal and vendor privacy risk assessments.
    • Breach & Notice Management:
      Automating incident response and real‑time privacy notice updates.
  • Product Management Partnership:
    Collaborate deeply with Product Management and facilitate better interactions to align engineering execution with the overarching business strategy for the Securiti platform
  • Strategic Engineering Leadership:
    Mentor and partner with senior engineering leads to scale the Securiti Product Suite, fostering a culture of technical excellence and cross‑functional agility
What You’ll Bring
  • Technical Proficiency:
    Proven experience with Go and/or Python, specifically for building high‑concurrency, high‑throughput backend systems
  • Distributed Systems Expertise:
    Strong background in microservices, REST/GraphQL APIs, and message brokers (e.g., Kafka or RabbitMQ) for building resilient SaaS platforms
  • Developer Platforms:
    Experience leading SDKs or integration platform development, with a focus on normalizing data and metadata for downstream compliance and security use cases
  • AI‑Driven Development:
    Hands‑on experience…
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