דרושים » תוכנה » Senior Engineering Manager, Decision Engineering

Were looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.

The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.

Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.

Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.

What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.



Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

We're looking for a Senior Director of Engineering to help scale how we build and own the core of our company's business. This role sits at the center of our R&D organization, partnering closely with senior product and tech leadership to raise the bar on engineering culture, team structure, and platform ambition.
We believe two things matter for every leadership role at our company: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead multiple engineering domains, owning the structure, standards, and performance of teams that build our company's core product
Drive strategic initiatives that increase engineering leverage, so we can do more with smaller, sharper teams
Partner with senior product and tech leaders to shape how we build, not just what we build
Architect next-generation platforms that support our evolving product vision and scale with the business
Attract, develop, and retain high-performing engineers, holding a high bar at every stage of the hiring and growth process
Turn complex business problems into technical solutions that are clean, scalable, and built to last
Embed AI into how we develop and ship, using it to accelerate delivery and raise the quality ceiling.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of our most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

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 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 looking for a passionate Data Scientist Team Lead to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.



What Youll Do

Mentor a team of extremely talented and success-hungry data scientists.
Initiate and manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing, and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communication skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, 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 companys 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 companys 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 at our company 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 at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations
Identify and Initiate New Business Opportunities: - Collaborate with our FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.