Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

we are looking for a R&D Director.
As an R&D Director at Vetric, youll lead multiple engineering teams and their leaders, owning the technical direction, execution, and organizational development of a critical area within our R&D organization.
Youll be responsible for translating company priorities into an effective engineering strategy, building strong teams and leaders, and ensuring we deliver scalable, reliable systems at high velocity.
Youll work closely with R&D leadership and cross-functional stakeholders to shape priorities, drive execution across teams, and continuously improve our engineering organization, architecture, and production excellence.
Responsibilities:
Lead and scale engineering teams and leaders, developing strong Team Leads and engineers while building a culture of ownership, accountability, collaboration, and continuous growth.
Own the engineering strategy and technical direction for your domain, translating business and product priorities into clear technical priorities, architecture decisions, and execution plans.
Drive execution across multiple teams, ensuring effective prioritization, alignment, and delivery of complex initiatives while managing dependencies and removing organizational and technical blockers.
Own production excellence and system reliability, driving high standards around scalability, performance, observability, incident management, and continuous improvement of our production environment.
Drive engineering excellence across the group, establishing and continuously improving standards and practices around architecture, development processes, code quality, and operational readiness.
Own organizational and capacity planning for the group, including team structure, hiring, resource allocation, and developing future technical and managerial leaders.
Partner with stakeholders across the company, including Product, Customer Success, and company leadership, to ensure engineering priorities are aligned with customer needs and broader business objectives.
Drive measurable impact, using data and engineering metrics to evaluate priorities, improve execution, and ensure resources are focused on the areas that create the greatest impact.

We are looking for an excellent Software Manager to join the Switch SDK Group and lead a team of powerful software engineers. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of our products and technologies. We have been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.

Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

Leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution.

Developing and implementing our Ethernet SDK with a focus on high-performance and reliability.

Collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions.

Following established guidelines and standards to ensure the delivery of high-quality products.

Continuously striving for excellence, improving team performance, and driving innovation.

Were growing and looking to hire a Director of Data & AI who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
We are seeking a visionary Director of Visibility to lead our core technology engine. This is a highly unique role that demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate Data Science and AI in a precise, highly productive manner. We have ambitious visibility goals that require uncompromising accuracy. Your mission is to combine precise, in-depth professional understanding of Cyber-Physical Systems (CPS/XIoT) with the immense scale and capabilities of AI. You will lead a multidisciplinary group comprising Data Science, Network/Protocol Research, and Asset Classification teams to revolutionize how we discover, classify, and secure critical assets across industrial (OT) and healthcare (IoMT) environments.
Responsibilities
As a Director of Data & AI your impact will be:
Multidisciplinary Leadership: Manage, mentor, and synchronize three distinct teams (Data Science, Network Research, and Asset Classification), ensuring cross-functional synergy and unified product delivery.
Scaling Accuracy with AI: Architect our visibility solutions to achieve unparalleled precision. Blend deep professional domain knowledge with advanced ML to scale asset discovery without sacrificing the exactness required in critical infrastructure.
Feature Engineering & Parsing: Oversee the translation of obscure, undocumented industrial and medical protocols into actionable features for our AI models.
Cross-Department Collaboration: Work closely with various data groups, product management, and R&D teams to translate network visibility into actionable risk management, segmentation, and threat detection policies.
Advanced Data Fusion & Collection Strategy: Manage diverse collection techniques (passive, active, and integrations), and architect how to fuse information for every single device at the scale of AI-bridging applications, algorithms, LLMs, and beyond.

We are looking for an experienced Infrastructure & DevOps Team Lead to take full ownership of our cloud and edge infrastructure domain.

In this role, you will act as a key technical leader within the R&D department, bridging the gap between strong software development practices and large-scale platform engineering. You will be responsible for driving cloud architecture, security, operational excellence, and scalability across both cloud environments and globally distributed edge deployments.

This is a strategic leadership role with end-to-end ownership of our infrastructure domain, ensuring our cloud and edge platforms remain scalable, secure, reliable, and cost-efficient as the company grows.

Responsibilities
Lead, mentor, and grow a team of 2-3 Infrastructure and DevOps engineers while remaining a 50% hands-on technical leader.
Own and evolve our cloud infrastructure architecture and operational strategy.
Ensure the scalability, reliability, security, and cost-efficiency of our cloud and edge platforms.
Lead infrastructure automation, Infrastructure as Code (IaC), and CI/CD best practices across the organization.
Drive cloud security, governance, observability, and incident management processes.
Partner with engineering leadership on architecture, platform strategy, and technology decisions.
Act as the primary infrastructure authority within the R&D organization and influence the company's technology roadmap.

The Program Manager will ensure predictable, coordinated, and transparent delivery between Product and R&D, from release planning through launch. The role connects product and engineering teams, establishing effective ways of working, managing dependencies and priorities, and maintaining clear communication with relevant stakeholders.

Key Responsibilities
Lead release planning, readiness, and launch processes in close collaboration with Product and R&D teams.
Manage release plans and track release readiness, dependencies, blockers, risks, and delivery milestones.
Create, consolidate, and distribute clear and accurate release notes.
Facilitate sprint opening, ongoing tracking, and closure, including monitoring tasks, statuses, and delivery objectives.
Work closely with Engineering Team Leads, Product Managers, and cross-functional stakeholders across the company.
Support prioritization and alignment across business, product, and technical needs.
Establish and continuously improve operating processes, ceremonies, and tracking tools to enable efficient and predictable delivery.
Identify blockers, drive their resolution, and provide transparent updates on program and release progress.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.
What You'll Do:
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.
Lead & Grow Engineering Teams: Lead, mentor, and grow our R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.
Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.
Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.
Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.
Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.
Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

We are seeking a strategic and visionary Group Manager to lead the operetion group for a key product under our companys security platforms.
In this role, you will get the opportunity to manage deliveries and products to strategic customers and escort challanging technology projects from design stage to large scale deployment.
Key Responsibilities
Strategic Leadership
Manage the delivery process from design, through development, Early Availability to rollout in production
Define and drive the quality vision, strategy, and roadmap for the products including Automation, Quality Assurance and Customers' focus team, aligning with engineering and business goals.
Organizational Management
Manage a group of 20 people, focusing on talent growth, performance, and collaboration across teams.
Lead and mentor an engineering group consisting of 3-4 specialized teams
Cross-Organizational Impact
Leadership, Collaboration, and Project Management
Proven ability to lead and manage cross-functional teams, fostering collaboration across engineering, product, security, and support functions.
Ability to influence and align stakeholders across teams and drive consensus on technical and strategic decisions.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.