Engineering Manager, Vulnerability Management

Iru•Miami, FL

3d•Hybrid

About The Position

About Iru Iru is the AI-powered security & IT platform used by the world’s fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation—collapsing the stack and giving IT & security time and control back. Iru is backed by some of the smartest investors in tech—General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as ServiceNow and AWS. Iru was named to Forbes’ America’s Best Startup Employers 2025 list for employee engagement and satisfaction. The Opportunity: As the Engineering Manager, Vulnerability Management, you will oversee the engineering squad responsible for Iru’s new and fast-growing vulnerability management product. You will lead the development of a high-performance system designed to process billions of events in real-time, enabling customers to detect and assess risks the moment they arise. Your team will be responsible for delivering advanced security capabilities, including automated remediation and patching, allowing customers to close security gaps instantly without manual intervention. This high-visibility role provides a unique opportunity to solve complex distributed systems challenges, iterate quickly, and build the foundational architecture for a product that is critical to our customers' security posture. You will also be accountable for maintaining your engineering team’s health, ensuring continuous improvement, and high productivity. Finally, you will be responsible for building and maintaining a world-class, inclusive culture within your team.

Requirements

7+ years of experience designing, building and deploying scalable applications leveraging modern languages and frameworks (e.g., Python, Go, Java, or similar)
2+ years of hands-on technical leadership and people management experience
Experience building high-volume or real-time data processing systems using streaming architectures (e.g., Kafka, Kinesis, Flink).
Experience driving the design and implementation of large-scale initiatives for SaaS products
Experience working in high growth startup environments and comfortable balancing tactical and strategic considerations
Deep understanding of agile methodologies and experience optimizing delivery processes
Thrives in an environment with a high level of autonomy and responsibility
Exceptional verbal and written communication skills
Required to work on-site 3x a week in our Miami office (Coral Gables).

Nice To Haves

Experience working within a product led growth model.
Knowledge of communication protocols such as gRPC, REST, etc.
Strong knowledge of cloud platforms (AWS, GCP, Azure).
Familiarity with cybersecurity concepts or experience building security-focused products.
Experience with continuous integration/continuous deployment (CI/CD) pipelines.
Experience in collaborative coding environments, including open-source contributions.

Responsibilities

Lead a team of talented engineers who like to ship high-quality code and tackle hard engineering problems
Create a collaborative work environment that fosters autonomy, inclusivity, innovation, learning, respect, and transparency while holding a high bar for craftsmanship
Contribute to and/or execute on the organization’s vision and standards around security, quality, observability, and clean code
Share your knowledge with team members by reviewing code, collaborating on design documents, giving technical talks, formal mentorship, and JIT feedback
Collaborate closely with the Design and Product teams to ensure that your team has a well-defined roadmap
Collaborate with other engineering teams to identify, and successfully evangelize opportunities to improve engineering productivity, code quality, automated testing, leveraging AI tools, and other engineering best practices