The posting
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 at scale. As 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
Organizations hold sensitive data across file systems, cloud storage, and SaaS applications, and they need to know who can access it, who actually does, and whether that access is appropriate. As Director, you will lead the team that builds this capability: collecting entitlements and activity from connected systems, modelling ownership through groups and nested groups, and correlating that with data sensitivity to show exposure and drive policy. The platform deploys both in the cloud and on-premises. You will own the technical direction, the delivery, and the team.
What You’ll Do
- Set the strategy and roadmap: Own the roadmap for entitlement collection, activity analysis, and access-risk insights. Balance new application coverage against reliability, scale, and customer escalations.
- Lead, hire, and grow the team: Lead a distributed team across multiple geographies, and hire and mentor engineers at every level.
- Take over and stabilize: Take ownership of an existing pipeline from the current group, run the knowledge transfer, and make the team self-sufficient.
- Own the architecture: Be accountable for resumable, idempotent entitlement scans, incremental collection, a normalized entitlement model, and a graph-based model of principals, resources, and access. Make deliberate trade-offs across the search, analytical, and graph stores, and keep them consistent as volume grows.
- Scale for large customers: Plan for billions of files and very high event volume. That includes collecting activity from each new application despite its own throttling and APIs and reliably moving data from on-premises deployments to the cloud without inappropriate throttling.
- Partner across the organization: Work with the connector, content classification, and data engineering teams, plus product and support, to deliver a coherent access-governance capability.
- Raise the engineering bar: Review designs and failure modes with real technical depth.
What You’ll Bring
- 10+ years in software engineering, including 5+ years leading engineering teams.
- A track record of owning large-scale distributed data systems in production: pipelines that scan, ingest, and reconcile large volumes of data, with correctness, resumability, and failure handling.
- Experience in identity and access management, data security, DSPM, CIEM, or data access governance.
- Strong technical credibility in Go, Java, or Python. You can review a design, spot race conditions and duplicate-processing risks, and ask hard questions.
- Working knowledge of graph databases or graph query languages, Elasticsearch or OpenSearch, and at least one large analytical store such as Databricks, Snowflake, or BigQuery.
- Experience building and managing teams across time zones, including hiring, performance management, and mentoring.
- Clear communication with engineers, product, and executives, and sound judgment about when to ship.
What you'll get
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Pay Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Compensation Range (TTC / OTE)
$382,560—$710,400 USD
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
