Sr Director, Engineering

beyondtrust; United States; Remote; USD 260,000 - 360,000; Full time

Job summary

BeyondTrust is seeking an experienced engineering leader to drive a portfolio of enterprise security products across on-premises, appliance, and SaaS deployments. The role focuses on evolving cloud architecture and integrating AI-assisted engineering into daily development and operations.

You will lead multi-team engineering, own budget and vendor decisions, and partner with security teams to drive secure, scalable software.

Qualifications

• 12+ years in software engineering, with 5+ years leading multi-team orgs.
• Experience delivering enterprise software at scale (on-premises and SaaS).
• Strong AWS experience, including architecture, security, and cost.
• Firsthand use of AI development tools and leading adoption with measurable results.
• Familiarity with SaaS: multi-tenant architecture, CI/CD, IaC, observability, automated quality engineering.

Responsibilities

• Set engineering strategy and guide secure, reliable SaaS architecture on AWS and other deployment models.
• Lead adoption of AI-assisted methods across design, development, testing, release, and operations; establish standards and measure results.
• Own release quality and automate testing across delivery pipelines.
• Direct vulnerability response from triage through remediation with security partners.
• Lead a multi-team organization through managers and senior leaders; build leadership bench and execution practices.
• Own budget, staffing, vendor, and tooling decisions; represent engineering with product, executive, and customer stakeholders.

Skills

Software engineering leadership

Multi-team leadership

Enterprise software delivery

Security-focused development

AWS architecture

AI tooling adoption

CI/CD / IaC / Observability

Budget & vendor judgement

Executive communication

Education

Bachelor’s degree in CS/Software Engineering

Master’s degree preferred

Job description

Role overview

Lead engineering for a portfolio of enterprise security products, taking responsibility for technical direction, delivery, product quality, and organizational capability. The portfolio serves customers across on-premises, appliance, and SaaS deployments, with a focus on evolving cloud architecture and making AI-assisted engineering part of everyday development and operations.

Responsibilities

• Set the portfolio’s engineering strategy and guide secure, reliable, scalable SaaS architecture on AWS while supporting other deployment models.
• Lead adoption of AI-assisted and agentic methods across design, development, testing, release, and operational work; establish standards and measure results.
• Own release quality and predictability, advancing automated and continuous testing across delivery pipelines.
• Direct vulnerability response from triage through remediation and patch delivery, partnering on threat modeling, code review, and security testing.
• Lead a multi-team organization through managers and senior leaders; build the leadership bench and set planning and execution practices.
• Own budget, staffing, vendor, and tooling decisions, and represent engineering with product, executive, and customer stakeholders.

Requirements

• At least 12 years in software engineering, including 5 or more years leading multi-team organizations through managers or directors.
• Record of delivering enterprise software at scale, ideally across on-premises and SaaS environments.
• Experience building security-sensitive software and leading vulnerability remediation in partnership with security teams.
• Strong AWS experience, including the ability to discuss architecture, security, and cost.
• Firsthand use of AI development tools and experience leading adoption across teams with measurable results.
• Familiarity with modern SaaS practices such as multi-tenant architecture, CI/CD, infrastructure as code, observability, and automated quality engineering.
• Sound budget and vendor judgment, plus clear communication with executives, peers, and customers.

Nice to have

• Identity or privileged access management experience; .NET/C# enterprise application leadership; or regulated cloud experience such as FedRAMP or StateRAMP.
• Experience delivering AI-powered product capabilities or leading distributed teams across countries and time zones.
• A bachelor’s degree in computer science, software engineering, or equivalent experience; a master’s degree is a plus.