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Required Software Modeling Team Leader
Job Description
Meet the Team
Join the Silicon One team in developing a unified silicon architecture for web-scale, service provider, and enterprise networks. Our silicon team provides an outstanding, unique experience for Software and ASIC engineers by combining the resources offered by a sizable multi-geography silicon organization and a large campus with the startup culture and breadth of growth opportunities that working in a smaller ASIC team can provide.
Your Impact
As the leader of the team, you will be responsible for delivering a state-of-the-art functional simulator for the SiliconOne family of routing and switching devices. This simulator is a critical product that streamlines the development process and significantly reduces time-to-market.
In this role, you will:
Lead and mentor and scale the team to 7-10 engineers, fostering a collaborative and inclusive environment
Oversee the design and delivery of a high-performance, reliable, and user-friendly behavioral model for SiliconOne devices
Collaborate closely with cross-functional teams including ASIC Architecture, Software, and Hardware to align goals and ensure seamless execution
Champion engineering excellence by modeling hands-on problem solving and debugging best practices
Guide team members in their professional development with tailored growth plans and regular feedback.

The Challenge Controp is a global leader in high-end EO/IR surveillance and defense solutions. As the AI team leader, you will bridge the gap between cutting-edge research and mission-critical hardware. You will lead an elite team of researchers and engineers to define the next generation of algorithmic capabilities for our stabilized payloads and autonomous systems.

We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint - Windows Endpoint, you will take end-to-end ownership of features from ideation to production, managing multiple teams within the Windows Agent Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to manage an organization of 15+ engineers and team leads across multiple teams working on the Windows Agent, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

We are looking for a Senior Release Manager with 5+ years of experience to own the orchestration of our software delivery lifecycle in the cloud native domain.
In this role, you will move beyond traditional coordination to build automated, high-integrity deployment highways.
You will leverage GitOps principles to ensure our cloud-native applications are delivered with speed, safety, and auditability across multiple environments.
As a Release Manager, you will drive the end-to-end release lifecycle, ensuring alignment among teams and stakeholders. You will track and monitor release tasks across Development, QA, DevOps, and Documentation, acting as the central contact for milestone tracking and updates using tools like Slack, JIRA, and GitHub. Identifying and escalating delays, risks, or blockers for timely resolution is crucial to your role.
You will manage dependencies, resolving or escalating gaps to ensure smooth integration of incremental feature development into the main branch. Monitoring feature milestones and readiness for QA, you will communicate intermediate deliverables and coordinate the verification of deliverables merged into GitHub, with JIRA tickets linked to PRs. Ensuring successful CI/CD pipeline completion and system tests, you will escalate issues as needed and facilitate the timely creation and release of builds to QA, ensuring testing readiness.
By overseeing feature verification progress using JIRA dashboards, you will facilitate bug screening with QA, Development, Product, and Architecture teams. Executing security scans and managing vulnerabilities for compliance and release readiness are essential tasks. You will maintain and enforce compliance with predefined release criteria, compiling and reviewing release communications with stakeholders to ensure everyone is informed and aligned.
In this role, your ability to manage multiple moving parts and communicate effectively across teams will be key to ensuring successful and timely releases.
Your role orchestrates cross-functional activities to ensure smooth progression through all release milestones, from kickoff to General Availability (GA).
Your position is reporting to the Director of Operations, and working in close collaboration with Product Managers, R&D Team Leads and developers (QA, DevOps, Dev. Teams).

As Engineering Manager, youll be a technical leader, a team builder, and a strategic partner. Youll guide your team to deliver performance, scalable, and secure software solutions, while shaping culture, structure, and product direction. From technical design to org design, youll have a direct influence on how we work and what we build.
Youll work closely with Product, Architecture, and cross-functional teams to turn ambitious ideas into clean, production-ready code - while creating an environment where engineers grow, thrive, and do their best work.
Who You Are:
A collaborative leader who thrives on enabling others to succeed
Able to balance trust and autonomy with clear technical direction
Strategic, but not afraid to roll up your sleeves when needed
Calm, clear, and confident in a fast-paced, high-growth environment
What Youll Actually Be Doing:
Be both a highly technical contributor and an effective people leader
Hold your own in technical discussion, be a subject matter expert in a product domain, and have strategic influence Lead team(s) that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
Work with your team and cross functional partners to define and influence strategy
Drive roadmap creation and execution
Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
Mentor, coach, and grow your direct reports - championing career development and engagement
Own recruitment, onboarding, and performance management for your team
Influence engineering-wide culture, org design, and cross-functional collaboration

We are looking for a hands-on Program Manager to own customer delivery from supporting pre-sales through contract signature, and until full deployment

This role serves as the operational owner of the customer inside the company, working closely with Sales and cross-functional teams.

The ideal candidate can effectively combine small ongoing activities with large, complex deployment programs.

What you will do
Manage complex, multidisciplinary projects end‑to‑end across the EMEA region.
Coordinate installations and delivery involving hardware, contractors, and diverse technologies.
Serve as the operational point of contact for customers, ensuring an excellent experience.
Work closely with Sales, Engineering, Operations, and global teams in a joint ownership model.
Present project status, risks, operational insights, and P&L impact to leadership.
Travel to customer sites when needed, including remote regions.

The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

Required ML-Engineering Lead
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
The Opportunity
We are starting a new ML/AI organization directly reporting to the CTO, to pioneer next-generation capabilities for our industry-leading defense systems. As a Founding ML-Engineering Lead, you will be the technical cornerstone of this initiative. This is a high-impact role designed for a practitioner who seeks total technical ownership of the machine learning lifecycle. You will be responsible for taking novel AI projects from initial concept through data collection, design, implementation, and evaluation, all the way to deployment.
The Technical Challenge Our ML initiatives span a diverse technical landscape. You will lead projects that range from field-oriented applications, where high accuracy and reliability are paramount, to research-oriented tools and agentic workflows designed to enhance our R&D capabilities and accelerate complex data analysis. Working in deep collaboration with our R&D teams, you will leverage unique, proprietary data to solve problems at the forefront of the counter-drone industry.
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.

Responsibilities
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are seeking a Lead Software Engineer to join the AI Workspace team at Tricentis. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
What You'll Do:
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.