Engineering & Product Leadership
With 16+ years of experience building scalable systems and leading high-performing teams, I help founders, engineering leaders, and product teams navigate the challenges of building, scaling, and evolving modern technology products.
Inbar Rose
Proven engineering leadership and ownership at scale
I’m an engineering and product leader with 16+ years of experience building scalable systems, leading high-performing teams, and bringing clarity to complex environments.
At Sony PlayStation, I manage reliability engineering while also driving AI-driven innovation across operations. Within my role, I lead initiatives that introduce agentic workflow orchestration, generative tooling, and intelligent automation into reliability and infrastructure workflows. I help shape strategy, prototype solutions, and guide adoption to improve engineering velocity, reduce cognitive load, and modernize operational practices.
As a 2x founding engineer, I’ve helped launch startups from the ground up, architecting cloud-native SaaS platforms, scaling DevOps orgs, and driving products to millions in revenue. In enterprise environments, I’ve led infrastructure, reliability, and AI/ML programs at companies like Sony and Red Hat delivering secure, high-scale systems used by Fortune 100 customers
I’m equally comfortable designing systems, mentoring teams, setting product direction, or navigating ambiguous technical challenges. I care deeply about developer velocity, empowered engineering cultures, and building resilient systems that scale.
Outside of work, I advise startups on technical strategy and DevOps architecture, and I write EurekaMind (https://eurekamind.substack.com/), a publication exploring leadership, productivity, and systems thinking.
I’m also an alumnus of Israeli Military Intelligence Unit 8200, where I developed mission-critical systems and completed an elite 2,000-hour program in cyber intelligence, mathematics, and signal processing, a foundation that continues to inform my perspective today.
I’m always open to connecting with others building high-impact products, growing organizations, or exploring the future of tech, leadership, and innovation.
My Services
Expert guidance for technical teams at every stage
Projects
Open source contributions, technical projects, and patents
SPOT Framework
SPOT (Survey, Prioritize, Optimize, Take Action) is a rapid decision-making tool inspired by medical triage. It helps engineers quickly assess, prioritize, and act on tasks, ensuring focus on what matters most in critical situations.
How It Works:
- Survey (S): Quickly assess all tasks to identify critical issues.
- Prioritize (P): Focus on tasks with the highest urgency.
- Optimize (O): Choose tasks that offer the greatest return on effort.
- Take Action (T): Act immediately on the most important tasks.
Unlike traditional frameworks like RICE, SPOT is designed for speed, allowing you to make decisions fast without the need for extensive calculations or collaboration. Whether you're handling incidents or managing high-pressure tasks, SPOT helps you take action when every second counts.
The 7 Habits of Effective Agentic Systems
A design framework that captures seven practical habits that make AI agents safe, useful, and auditable in production. Effective agentic systems are governed components with clearly bounded roles that are embedded into workflows, reducing ambiguity, improving decisions, and providing measurable outcomes.
How It Works:
- 1. Clearly Bounded Role: Narrow, well-scoped responsibilities that limit blast radius and set clear expectations.
- 2. Embedded in Workflows: Agents work inside existing processes, producing structured signals humans and systems can act on.
- 3. Explicit Constraints: Permissions, limits, and escalation paths are part of the interface, not an afterthought.
- 4. Defers Irreversibility: Agents recommend and explain; irreversible actions require human or policy-controlled approval.
- 5. Optimizes for System Outcomes: Success is measured by reliability, reduced cognitive load, and improved handoffs.
- 6.Progress Through Structure: Maturity tightens interfaces and playbooks; structure enables safer capability.
- 7. Visible Accountability: Every meaningful action should show who owned it, why it happened, and what data informed it.
This framework provides a shared language for engineers, architects, and executive leaders to reason about agentic systems. Rather than optimizing for autonomy, it optimizes for reliability, governance, and system outcomes. The habits are patterns that emerge when agentic systems are designed intentionally and operated at scale.
Related Change Analysis of Multiple Version Control Systems
Select a change in one project and see related changes in other projects.
Abstract
A method includes receiving a selection of a first change to a project in a first repository of a plurality of repositories and identifying one or more attributes of the first change to the project. The method further includes identifying a second change to the project in the plurality of repositories in view of the one or more attributes of the first change and performing an action in view of identifying the second change to the project.
EurekaMind Blog
Insights on leadership, productivity, and systems thinking
