Director of Engineering — AI Native Platforms (IT / OT / Cybersecurity)

Context & Impact
Lansweeper is expanding its engineering leadership with a newly created Director of Engineering role focused on AI-native platform development across IT, OT, and Cybersecurity domains.
As Director of Engineering, you will lead high-performing engineering organizations building advanced software platforms, intelligent systems, and scalable infrastructure that combine modern distributed systems engineering with foundational AI and machine learning technologies. You will play a critical leadership role in driving engineering execution, operational excellence, innovation, and organizational growth - while fostering a strong culture of ownership, accountability, technical excellence, and AI-native ways of working.
This is a full-time, hybrid role based in Austin, Texas, with 2 days onsite per week.
Key Responsibilities

• Lead and scale engineering organizations focused on AI-native infrastructure and cybersecurity platforms
• Drive execution and delivery of highly scalable, reliable, and performant software systems across IT, OT, networking, and cybersecurity domains
• Establish engineering processes that promote speed, quality, ownership, and accountability
• Partner with executive leadership to define technical and organizational strategy
• Foster a culture of innovation, continuous improvement, and AI-native software delivery
• Drive adoption of AI-assisted engineering practices and AI-native development methodologies across engineering teams
• Mentor engineering leaders and senior technical talent to grow organizational capability

Key Requirements
Hard Skills:

• 12+ years of software engineering experience, including leadership of engineering organizations
• Proven track record leading engineering teams building infrastructure, platform, or cybersecurity products
• Strong understanding of distributed systems and scalable backend architectures
• Technical background in C++, Go, or Rust
• Strong understanding of foundational LLM and Machine Learning technologies and their application in production environments
• Experience operating in high-growth and fast-paced engineering environments

Preferred / Nice to Have:

• Experience with network technologies, infrastructure intelligence, or visibility systems
• Understanding of enterprise IT and OT ecosystems
• Experience with cybersecurity analysis systems, SIEM, EDR, or threat intelligence platforms
• Experience driving adoption of AI-assisted software development workflows and modern coding agents
• Familiarity with modern AI engineering tooling such as Claude Code

Soft Skills:

• Strong execution focus with a track record of delivery predictability and operational excellence
• Systems-thinking mindset with pragmatic, high-impact decision-making
• Strong ownership mentality with clear accountability for engineering outcomes
• Passion for engineering transformation, innovation, and people development
• Collaborative leadership style with a genuine commitment to mentorship and team growth

AI Specific Skills
Lansweeper is an AI-native company currently undergoing a company-wide AI transformation across all departments and engineering functions. As Director of Engineering, you are expected to actively champion and embed AI-assisted development tools and LLM-based workflows across the engineering organization - not just use them personally but drive their adoption at scale. Leading with an AI-native mindset and enabling your engineering teams to work in AI-native ways is a hard requirement for this role, not a nice-to-have.
Our Offer

• Competitive compensation aligned with industry benchmarks
• Career growth and learning opportunities within a fast-scaling SaaS company
• Flexibility in working hours
• Hybrid working model - 2 days onsite per week in Austin, Texas
• Engaging company culture with team events and international collaboration

About Lansweeper
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.
In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
With Lansweeper, organizations can:

• See - Truly complete visibility across hybrid environments
• Know - Enriched asset intelligence with lifecycle and risk context
• Act - Automate workflows, coordinate remediation, and enforce policy at scale

From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.
Our culture - built on four core values:

• One Team - United across boundaries
• We Care - Customers and people at the center
• We Grow - Learning, sharing, improving
• We Deliver - Focusing on what truly matters

Pay Transparency
At Lansweeper, every role is assigned to a level defined by three things: the expertise it requires, the complexity it involves, and the scope of impact it carries.
Each level maps to a salary band based on salary benchmarks from the Software/SaaS industry of your country, so your pay reflects what the market pays for comparable roles.
Where you land within that range depends on the expertise you bring, the complexity you have navigated, the scope of impact you have owned, and your track record of delivering results in comparable roles - the same criteria applied consistently to every candidate.
We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.
AI Usage During Hiring Process
We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via [email protected]
Diversity Statement
It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.
Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.
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