Director of Engineering

AIBound; Bengaluru; Hybrid; INR 4,500,000 - 7,000,000; Full time

Benefits offered by this job

Salary & equity package

Hybrid work environment

Development budget and AI research资源

Job summary

AIBound is seeking a Director of Engineering to define the technical vision for a cloud-native AI security platform and lead the team that ships it. You will set direction, drive execution, and collaborate with Product, AI Research, and GTM to turn customer problems into secure, scalable software.

You will report to the Co-founder and Head of Engineering and help build a high-performing organization in a fast-growing cybersecurity startup.

Qualifications

• 7+ years of software engineering experience with leadership of teams.
• Bachelor’s or Master’s degree in CS/Engineering or equivalent.
• Proven track record shipping large-scale cloud products for enterprises.
• Hands-on ability to review designs and de-risk key decisions.
• Strong background in distributed systems, scalability, and performance.

Responsibilities

• Define the technical strategy, architecture, and roadmap for your area.
• Review designs, prototype when needed, and de-risk architectural decisions.
• Build and lead a high-performing engineering team and mentorship for managers.
• Own delivery cadence, sprint/release planning, and delivery health metrics.
• Establish practices for fast yet trusted development: CI/CD, testing, incident response.
• Partner with Product, AI Research, and GTM to align on the roadmap.
• Engage with enterprise customers and security teams to capture requirements.

Skills

7+ years software engineering

Team leadership

Hands-on design review

Cloud-native platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

GCP

Kubernetes

Go

React/TypeScript

GKE

Postgres (CloudNativePG)

GCS

vLLM / frontier models

Job description

AIBound is revolutionizing AI security with the industry's first unified control plane for secure AI adoption. We discover, test, and protect each AI model, agent, and identity - catching AI risks before impact so enterprises can innovate safely and at speed. As AI adoption outpaces security across global organizations, AIBound eliminates the dangerous gap between innovation and protection.

Led by our CEO and founder, the former CISO at Palo Alto Networks and Workday, AIBound brings together a world-class team of cybersecurity veterans who have secured some of the world's most advanced enterprises. We're a fast-growing company backed by leading investors, positioned at the critical intersection of AI innovation and enterprise security - one of the most strategic technology frontiers of our generation.

Join us in building the future of AI security, where cutting-edge artificial intelligence meets battle-tested cybersecurity expertise.

Role Description

We're looking for a Director of Engineering who can take "we need to build this" and go get it shipped - defining the problem, choosing the approach, and driving it to delivery without waiting to be told how. You'll set the technical vision for a cloud-native AI security platform, build and lead the team that ships it.

This is a role for someone who creates direction rather than consumes it. You'll get context, constraints, and a customer problem - not a spec. You're technically credible enough to dive in, review designs, and de-risk key decisions, but your primary impact is through the team: setting direction, driving execution, and shipping on a predictable cadence. You'll partner with Product, AI Research, and our customers' security teams to turn a fast-moving threat landscape into a platform enterprises trust.

Reports to the Co-founder and Head of Engineering.

Responsibilities

• Take ownership of new problem areas - scope them, decide the approach, and drive them to a shipped, working product.
• Stay technically credible. Review designs, dig into the code when needed, and prototype to de-risk architectural decisions.
• Define and execute the technical strategy, architecture, and roadmap for your area of ownership, and make the critical decisions on technology and long-term design.
• Build and lead a high-performing engineering team - recruit, mentor, and retain strong engineers, and grow engineering managers as the organization scales.
• Own delivery and the operating cadence. Drive execution across teams to ship high-quality, secure, scalable software on a predictable cadence - running the agile/scrum rhythm (sprint and release planning, backlog prioritization, standups, cross-team dependency and risk management) and tracking delivery health with clear metrics (predictability, cycle time, quality).
• Establish the engineering practices that let us move fast without breaking trust: design and code review, automated testing, CI/CD, incident response, and continuous improvement.
• Partner closely with Product, AI Research, and GTM on a cohesive roadmap, and engage directly with enterprise customers and their security teams.

Qualifications

• 7+ years of professional software engineering experience, including 3+ years leading engineering teams.
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
• Proven track record building and shipping large-scale, enterprise-grade, cloud-delivered products - with deep hands-on experience in distributed system architecture, scalability, availability, and performance.
• Hands-on enough to stay credible - you can dive in, review designs, and de-risk key decisions when needed.
• Strong grounding in GCP, Kubernetes, Go and React/TypeScript on GKE, with Postgres (CloudNativePG), GCS, and a GPU-backed inference layer running open-weight models on vLLM alongside frontier models.
• Practical experience with LLM and agent architectures - self-hosted model serving, inference performance and GPU cost, evaluation, and prompt or model-level security.
• Experience building SaaS products is preferred.

Benefits and Culture

• Highly competitive salary and equity package
• Hybrid work environment (3 days on-site per week), and vacation policy
• Professional development budget, conference attendance and access to AI research resources.

AIBound is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.